tests/testthat/_snaps/interface.md
In astamm/squad: Statistics for Quaternion Temporal Data
The function differentiate() works
Code
differentiate(vespa64$igp[[1]])
Output
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00519 -0.00222 -0.00040
2 2 0.99998 -0.00529 -0.00305 -0.00057
3 3 0.99998 -0.00534 -0.00367 -0.00094
4 4 0.99998 -0.00447 -0.00352 -0.00119
5 5 0.99999 -0.00374 -0.00345 -0.00140
6 6 0.99999 -0.00292 -0.00331 -0.00158
7 7 0.99999 -0.00212 -0.00327 -0.00182
8 8 0.99999 -0.00166 -0.00341 -0.00209
9 9 0.99999 -0.00145 -0.00371 -0.00229
10 10 0.99999 -0.00168 -0.00394 -0.00239
# i 90 more rows
Code
differentiate(vespa64$igp)
Output
[[1]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00519 -0.00222 -0.00040
2 2 0.99998 -0.00529 -0.00305 -0.00057
3 3 0.99998 -0.00534 -0.00367 -0.00094
4 4 0.99998 -0.00447 -0.00352 -0.00119
5 5 0.99999 -0.00374 -0.00345 -0.00140
6 6 0.99999 -0.00292 -0.00331 -0.00158
7 7 0.99999 -0.00212 -0.00327 -0.00182
8 8 0.99999 -0.00166 -0.00341 -0.00209
9 9 0.99999 -0.00145 -0.00371 -0.00229
10 10 0.99999 -0.00168 -0.00394 -0.00239
# i 90 more rows
[[2]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00562 -0.00244 0.00021
2 2 0.99998 -0.00562 -0.00285 0.00006
3 3 0.99998 -0.00577 -0.00337 -0.00028
4 4 0.99998 -0.00569 -0.00364 -0.00055
5 5 0.99998 -0.00508 -0.00369 -0.00088
6 6 0.99999 -0.00380 -0.00343 -0.00120
7 7 0.99999 -0.00288 -0.00344 -0.00154
8 8 0.99999 -0.00221 -0.00365 -0.00188
9 9 0.99999 -0.00171 -0.00389 -0.00215
10 10 0.99999 -0.00133 -0.00390 -0.00228
# i 90 more rows
[[3]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00564 0.00059 -0.00011
2 2 0.99998 -0.00653 -0.00025 0.00072
3 3 0.99997 -0.00744 -0.00093 0.00096
4 4 0.99997 -0.00702 -0.00130 0.00112
5 5 0.99998 -0.00613 -0.00167 0.00103
6 6 0.99998 -0.00524 -0.00202 0.00100
7 7 0.99999 -0.00422 -0.00243 0.00097
8 8 0.99999 -0.00337 -0.00290 0.00093
9 9 0.99999 -0.00273 -0.00343 0.00088
10 10 0.99999 -0.00217 -0.00386 0.00082
# i 90 more rows
[[4]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00579 0.00081 0.00039
2 2 0.99998 -0.00622 -0.00025 0.00075
3 3 0.99998 -0.00672 -0.00079 0.00097
4 4 0.99998 -0.00668 -0.00127 0.00110
5 5 0.99998 -0.00595 -0.00164 0.00107
6 6 0.99999 -0.00497 -0.00197 0.00101
7 7 0.99999 -0.00384 -0.00233 0.00092
8 8 0.99999 -0.00290 -0.00278 0.00089
9 9 0.99999 -0.00212 -0.00346 0.00084
10 10 0.99999 -0.00164 -0.00408 0.00069
# i 90 more rows
[[5]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00494 -0.00206 -0.00098
2 2 0.99999 -0.00476 -0.00252 -0.00043
3 3 0.99998 -0.00460 -0.00319 -0.00053
4 4 0.99998 -0.00427 -0.00347 -0.00086
5 5 0.99999 -0.00392 -0.00362 -0.00121
6 6 0.99999 -0.00341 -0.00363 -0.00155
7 7 0.99999 -0.00265 -0.00348 -0.00185
8 8 0.99999 -0.00195 -0.00346 -0.00213
9 9 0.99999 -0.00150 -0.00362 -0.00232
10 10 0.99999 -0.00147 -0.00385 -0.00245
# i 90 more rows
[[6]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00559 -0.00017 -0.00074
2 2 0.99998 -0.00554 -0.00178 -0.00025
3 3 0.99998 -0.00576 -0.00300 -0.00024
4 4 0.99998 -0.00560 -0.00360 -0.00046
5 5 0.99998 -0.00499 -0.00363 -0.00068
6 6 0.99998 -0.00423 -0.00354 -0.00099
7 7 0.99999 -0.00294 -0.00330 -0.00145
8 8 0.99999 -0.00196 -0.00327 -0.00184
9 9 0.99999 -0.00145 -0.00353 -0.00224
10 10 0.99999 -0.00113 -0.00376 -0.00254
# i 90 more rows
[[7]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00372 0.00203 -0.00002
2 2 0.99999 -0.00331 0.00219 0.00036
3 3 0.99999 -0.00327 0.00189 0.00090
4 4 0.99999 -0.00338 0.00139 0.00124
5 5 0.99999 -0.00332 0.00087 0.00151
6 6 0.99999 -0.00322 0.00051 0.00189
7 7 0.99999 -0.00281 -0.00032 0.00198
8 8 0.99999 -0.00231 -0.00112 0.00200
9 9 0.99999 -0.00204 -0.00167 0.00197
10 10 0.99999 -0.00195 -0.00211 0.00199
# i 90 more rows
[[8]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00268 0.00201 0.00192
2 2 0.99999 -0.00331 0.00215 0.00235
3 3 0.99999 -0.00350 0.00154 0.00239
4 4 0.99999 -0.00351 0.00084 0.00235
5 5 0.99999 -0.00331 0.00001 0.00229
6 6 0.99999 -0.00281 -0.00100 0.00218
7 7 0.99999 -0.00231 -0.00198 0.00208
8 8 0.99999 -0.00176 -0.00286 0.00203
9 9 0.99999 -0.00141 -0.00365 0.00199
10 10 0.99999 -0.00131 -0.00417 0.00196
# i 90 more rows
[[9]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00660 -0.00025 0.00077
2 2 0.99997 -0.00756 -0.00152 0.00041
3 3 0.99996 -0.00843 -0.00282 0.00005
4 4 0.99996 -0.00806 -0.00360 -0.00054
5 5 0.99997 -0.00708 -0.00399 -0.00117
6 6 0.99998 -0.00532 -0.00402 -0.00195
7 7 0.99998 -0.00340 -0.00364 -0.00268
8 8 0.99999 -0.00181 -0.00309 -0.00341
9 9 0.99999 -0.00083 -0.00239 -0.00385
10 10 0.99999 -0.00050 -0.00168 -0.00391
# i 90 more rows
[[10]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00770 0.00050 0.00029
2 2 0.99997 -0.00795 -0.00116 0.00050
3 3 0.99996 -0.00800 -0.00262 0.00012
4 4 0.99996 -0.00788 -0.00348 -0.00040
5 5 0.99997 -0.00702 -0.00386 -0.00105
6 6 0.99998 -0.00560 -0.00387 -0.00179
7 7 0.99998 -0.00370 -0.00348 -0.00242
8 8 0.99999 -0.00199 -0.00300 -0.00292
9 9 0.99999 -0.00051 -0.00242 -0.00337
10 10 0.99999 0.00011 -0.00186 -0.00363
# i 90 more rows
[[11]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00743 0.00259 -0.00012
2 2 0.99997 -0.00724 0.00165 0.00007
3 3 0.99998 -0.00657 0.00033 0.00007
4 4 0.99999 -0.00510 -0.00094 -0.00007
5 5 0.99999 -0.00389 -0.00223 -0.00030
6 6 0.99999 -0.00302 -0.00371 -0.00060
7 7 0.99998 -0.00288 -0.00490 -0.00084
8 8 0.99998 -0.00271 -0.00547 -0.00112
9 9 0.99998 -0.00243 -0.00535 -0.00144
10 10 0.99999 -0.00190 -0.00428 -0.00155
# i 90 more rows
[[12]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99996 -0.00766 0.00346 -0.00017
2 2 0.99997 -0.00745 0.00226 0.00036
3 3 0.99998 -0.00668 0.00066 0.00054
4 4 0.99998 -0.00573 -0.00129 0.00062
5 5 0.99998 -0.00520 -0.00306 0.00057
6 6 0.99998 -0.00460 -0.00444 0.00026
7 7 0.99998 -0.00401 -0.00523 -0.00014
8 8 0.99998 -0.00307 -0.00532 -0.00073
9 9 0.99999 -0.00213 -0.00438 -0.00133
10 10 0.99999 -0.00160 -0.00352 -0.00178
# i 90 more rows
[[13]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00362 -0.00259 0.00018
2 2 0.99998 -0.00401 -0.00414 0.00031
3 3 0.99999 -0.00338 -0.00369 -0.00041
4 4 0.99999 -0.00253 -0.00303 -0.00109
5 5 0.99999 -0.00155 -0.00226 -0.00181
6 6 1.00000 -0.00081 -0.00163 -0.00231
7 7 1.00000 -0.00041 -0.00123 -0.00268
8 8 0.99999 -0.00043 -0.00110 -0.00300
9 9 0.99999 -0.00087 -0.00117 -0.00314
10 10 0.99999 -0.00146 -0.00136 -0.00300
# i 90 more rows
[[14]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00359 -0.00178 0.00074
2 2 0.99999 -0.00418 -0.00255 0.00033
3 3 0.99999 -0.00384 -0.00318 -0.00021
4 4 0.99999 -0.00315 -0.00334 -0.00080
5 5 0.99999 -0.00225 -0.00319 -0.00142
6 6 0.99999 -0.00133 -0.00294 -0.00198
7 7 0.99999 -0.00067 -0.00269 -0.00234
8 8 0.99999 -0.00046 -0.00252 -0.00257
9 9 0.99999 -0.00071 -0.00245 -0.00270
10 10 0.99999 -0.00134 -0.00235 -0.00271
# i 90 more rows
[[15]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00455 -0.00186 0.00107
2 2 0.99999 -0.00417 -0.00301 0.00094
3 3 0.99999 -0.00350 -0.00384 0.00040
4 4 0.99999 -0.00267 -0.00426 -0.00022
5 5 0.99999 -0.00167 -0.00424 -0.00088
6 6 0.99999 -0.00074 -0.00403 -0.00150
7 7 0.99999 -0.00014 -0.00371 -0.00194
8 8 0.99999 0.00010 -0.00333 -0.00217
9 9 0.99999 -0.00011 -0.00291 -0.00215
10 10 0.99999 -0.00070 -0.00251 -0.00198
# i 90 more rows
[[16]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00546 -0.00077 0.00127
2 2 0.99999 -0.00472 -0.00212 0.00115
3 3 0.99999 -0.00414 -0.00309 0.00074
4 4 0.99999 -0.00333 -0.00364 0.00027
5 5 0.99999 -0.00238 -0.00387 -0.00028
6 6 0.99999 -0.00138 -0.00380 -0.00085
7 7 0.99999 -0.00069 -0.00371 -0.00139
8 8 0.99999 -0.00038 -0.00365 -0.00181
9 9 0.99999 -0.00051 -0.00369 -0.00202
10 10 0.99999 -0.00096 -0.00373 -0.00206
# i 90 more rows
[[17]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00430 0.00027 -0.00133
2 2 0.99999 -0.00398 -0.00032 -0.00147
3 3 0.99999 -0.00398 -0.00032 -0.00173
4 4 0.99999 -0.00376 -0.00028 -0.00193
5 5 0.99999 -0.00350 -0.00015 -0.00225
6 6 0.99999 -0.00310 -0.00002 -0.00255
7 7 0.99999 -0.00276 0.00003 -0.00282
8 8 0.99999 -0.00259 0.00007 -0.00299
9 9 0.99999 -0.00253 0.00007 -0.00309
10 10 0.99999 -0.00255 0.00006 -0.00311
# i 90 more rows
[[18]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00479 -0.00072 -0.00115
2 2 0.99999 -0.00443 -0.00084 -0.00139
3 3 0.99999 -0.00412 -0.00062 -0.00177
4 4 0.99999 -0.00368 -0.00041 -0.00205
5 5 0.99999 -0.00323 -0.00032 -0.00242
6 6 0.99999 -0.00271 -0.00027 -0.00276
7 7 0.99999 -0.00223 -0.00016 -0.00303
8 8 0.99999 -0.00218 -0.00007 -0.00333
9 9 0.99999 -0.00217 -0.00010 -0.00337
10 10 0.99999 -0.00231 -0.00017 -0.00337
# i 90 more rows
[[19]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00375 0.00135 0.00012
2 2 0.99999 -0.00387 0.00020 0.00040
3 3 0.99999 -0.00440 -0.00105 0.00059
4 4 0.99999 -0.00465 -0.00186 0.00058
5 5 0.99999 -0.00476 -0.00249 0.00047
6 6 0.99999 -0.00459 -0.00294 0.00021
7 7 0.99998 -0.00443 -0.00338 -0.00021
8 8 0.99998 -0.00408 -0.00378 -0.00070
9 9 0.99998 -0.00366 -0.00398 -0.00108
10 10 0.99998 -0.00341 -0.00410 -0.00141
# i 90 more rows
[[20]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00539 -0.00145 0.00035
2 2 0.99998 -0.00518 -0.00239 0.00063
3 3 0.99998 -0.00525 -0.00303 0.00032
4 4 0.99998 -0.00481 -0.00327 -0.00015
5 5 0.99999 -0.00399 -0.00334 -0.00063
6 6 0.99999 -0.00330 -0.00348 -0.00104
7 7 0.99999 -0.00296 -0.00382 -0.00140
8 8 0.99999 -0.00269 -0.00426 -0.00174
9 9 0.99998 -0.00253 -0.00448 -0.00192
10 10 0.99998 -0.00262 -0.00445 -0.00193
# i 90 more rows
[[21]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00559 -0.00068 -0.00068
2 2 0.99999 -0.00501 -0.00088 -0.00076
3 3 0.99999 -0.00484 -0.00074 -0.00117
4 4 0.99999 -0.00436 -0.00057 -0.00157
5 5 0.99999 -0.00400 -0.00036 -0.00210
6 6 0.99999 -0.00370 -0.00021 -0.00262
7 7 0.99999 -0.00351 -0.00014 -0.00294
8 8 0.99999 -0.00331 -0.00006 -0.00307
9 9 0.99999 -0.00333 -0.00002 -0.00317
10 10 0.99999 -0.00357 -0.00001 -0.00326
# i 90 more rows
[[22]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00488 -0.00124 -0.00039
2 2 0.99999 -0.00516 -0.00137 -0.00081
3 3 0.99999 -0.00502 -0.00103 -0.00128
4 4 0.99999 -0.00435 -0.00052 -0.00173
5 5 0.99999 -0.00371 -0.00026 -0.00216
6 6 0.99999 -0.00320 -0.00026 -0.00262
7 7 0.99999 -0.00267 -0.00023 -0.00284
8 8 0.99999 -0.00250 -0.00022 -0.00299
9 9 0.99999 -0.00278 -0.00030 -0.00314
10 10 0.99999 -0.00323 -0.00042 -0.00321
# i 90 more rows
[[23]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00424 0.00085 0.00012
2 2 0.99999 -0.00405 -0.00038 0.00075
3 3 0.99999 -0.00438 -0.00145 0.00091
4 4 0.99999 -0.00468 -0.00234 0.00078
5 5 0.99998 -0.00468 -0.00292 0.00043
6 6 0.99998 -0.00455 -0.00336 -0.00016
7 7 0.99998 -0.00425 -0.00358 -0.00065
8 8 0.99998 -0.00397 -0.00391 -0.00116
9 9 0.99998 -0.00370 -0.00425 -0.00169
10 10 0.99998 -0.00372 -0.00450 -0.00211
# i 90 more rows
[[24]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00460 0.00025 -0.00041
2 2 0.99999 -0.00394 -0.00033 0.00045
3 3 0.99999 -0.00415 -0.00139 0.00054
4 4 0.99999 -0.00448 -0.00233 0.00056
5 5 0.99998 -0.00461 -0.00307 0.00036
6 6 0.99998 -0.00457 -0.00363 -0.00001
7 7 0.99998 -0.00422 -0.00396 -0.00051
8 8 0.99998 -0.00391 -0.00431 -0.00101
9 9 0.99998 -0.00363 -0.00463 -0.00147
10 10 0.99998 -0.00336 -0.00476 -0.00182
# i 90 more rows
[[25]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00076 -0.00245 -0.00075
2 2 0.99999 -0.00216 -0.00358 -0.00064
3 3 0.99999 -0.00303 -0.00399 -0.00058
4 4 0.99998 -0.00384 -0.00431 -0.00056
5 5 0.99998 -0.00477 -0.00462 -0.00057
6 6 0.99997 -0.00592 -0.00492 -0.00047
7 7 0.99997 -0.00659 -0.00483 -0.00050
8 8 0.99996 -0.00708 -0.00479 -0.00050
9 9 0.99996 -0.00740 -0.00468 -0.00051
10 10 0.99996 -0.00733 -0.00422 -0.00055
# i 90 more rows
[[26]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00336 -0.00371 0.00095
2 2 0.99999 -0.00349 -0.00373 0.00054
3 3 0.99999 -0.00351 -0.00351 0.00027
4 4 0.99999 -0.00375 -0.00327 -0.00004
5 5 0.99999 -0.00314 -0.00286 -0.00027
6 6 0.99999 -0.00238 -0.00248 -0.00059
7 7 0.99999 -0.00201 -0.00250 -0.00083
8 8 0.99999 -0.00167 -0.00273 -0.00105
9 9 0.99999 -0.00157 -0.00291 -0.00121
10 10 0.99999 -0.00205 -0.00331 -0.00134
# i 90 more rows
[[27]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00138 -0.00301 0.00256
2 2 0.99999 -0.00063 -0.00353 0.00230
3 3 0.99999 0.00020 -0.00346 0.00162
4 4 0.99999 0.00080 -0.00346 0.00123
5 5 0.99999 0.00133 -0.00332 0.00077
6 6 0.99999 0.00139 -0.00302 0.00025
7 7 0.99999 0.00109 -0.00302 -0.00008
8 8 0.99999 0.00072 -0.00320 -0.00024
9 9 0.99999 0.00024 -0.00346 -0.00024
10 10 0.99999 -0.00017 -0.00362 -0.00005
# i 90 more rows
[[28]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00342 -0.00167 0.00187
2 2 0.99999 -0.00212 -0.00208 0.00220
3 3 0.99999 -0.00128 -0.00234 0.00218
4 4 1.00000 -0.00035 -0.00227 0.00193
5 5 1.00000 0.00054 -0.00221 0.00145
6 6 1.00000 0.00112 -0.00239 0.00106
7 7 1.00000 0.00141 -0.00258 0.00055
8 8 0.99999 0.00120 -0.00294 0.00004
9 9 0.99999 0.00081 -0.00334 -0.00027
10 10 0.99999 0.00017 -0.00370 -0.00039
# i 90 more rows
[[29]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00188 -0.00288 0.00262
2 2 0.99999 -0.00207 -0.00346 0.00262
3 3 0.99999 -0.00142 -0.00329 0.00218
4 4 0.99999 -0.00070 -0.00272 0.00155
5 5 1.00000 0.00001 -0.00206 0.00077
6 6 1.00000 0.00044 -0.00187 0.00017
7 7 1.00000 0.00061 -0.00194 -0.00030
8 8 1.00000 0.00052 -0.00236 -0.00060
9 9 1.00000 0.00022 -0.00294 -0.00076
10 10 0.99999 -0.00026 -0.00359 -0.00079
# i 90 more rows
[[30]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00021 -0.00267 0.00205
2 2 0.99999 -0.00152 -0.00249 0.00191
3 3 0.99999 -0.00097 -0.00261 0.00150
4 4 1.00000 -0.00030 -0.00240 0.00098
5 5 1.00000 0.00027 -0.00234 0.00046
6 6 1.00000 0.00066 -0.00232 -0.00005
7 7 1.00000 0.00076 -0.00255 -0.00036
8 8 1.00000 0.00059 -0.00298 -0.00058
9 9 0.99999 0.00022 -0.00357 -0.00061
10 10 0.99999 -0.00027 -0.00408 -0.00057
# i 90 more rows
[[31]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00156 -0.00087 0.00297
2 2 1.00000 -0.00088 -0.00117 0.00272
3 3 1.00000 -0.00039 -0.00158 0.00232
4 4 1.00000 0.00024 -0.00185 0.00176
5 5 1.00000 0.00071 -0.00203 0.00129
6 6 1.00000 0.00089 -0.00235 0.00106
7 7 1.00000 0.00089 -0.00273 0.00091
8 8 0.99999 0.00064 -0.00328 0.00086
9 9 0.99999 0.00031 -0.00380 0.00098
10 10 0.99999 -0.00005 -0.00422 0.00113
# i 90 more rows
[[32]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00144 -0.00175 0.00200
2 2 1.00000 -0.00037 -0.00163 0.00194
3 3 1.00000 0.00015 -0.00166 0.00162
4 4 1.00000 0.00078 -0.00183 0.00118
5 5 1.00000 0.00120 -0.00223 0.00087
6 6 0.99999 0.00143 -0.00274 0.00071
7 7 0.99999 0.00147 -0.00332 0.00069
8 8 0.99999 0.00131 -0.00393 0.00075
9 9 0.99999 0.00087 -0.00443 0.00093
10 10 0.99999 0.00037 -0.00482 0.00115
# i 90 more rows
[[33]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00488 0.00358 0.00011
2 2 0.99998 -0.00468 0.00374 -0.00010
3 3 0.99998 -0.00455 0.00343 -0.00052
4 4 0.99999 -0.00412 0.00317 -0.00088
5 5 0.99999 -0.00357 0.00300 -0.00125
6 6 0.99999 -0.00312 0.00276 -0.00171
7 7 0.99999 -0.00291 0.00247 -0.00219
8 8 0.99999 -0.00289 0.00216 -0.00266
9 9 0.99999 -0.00293 0.00184 -0.00310
10 10 0.99999 -0.00340 0.00139 -0.00348
# i 90 more rows
[[34]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00238 0.00323 0.00005
2 2 0.99999 -0.00310 0.00300 -0.00072
3 3 0.99999 -0.00285 0.00287 -0.00125
4 4 0.99999 -0.00234 0.00254 -0.00178
5 5 0.99999 -0.00220 0.00227 -0.00225
6 6 0.99999 -0.00233 0.00204 -0.00274
7 7 0.99999 -0.00259 0.00155 -0.00315
8 8 0.99999 -0.00289 0.00108 -0.00335
9 9 0.99999 -0.00313 0.00073 -0.00354
10 10 0.99999 -0.00336 0.00050 -0.00369
# i 90 more rows
[[35]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00443 0.00175 -0.00145
2 2 0.99999 -0.00436 0.00112 -0.00199
3 3 0.99999 -0.00411 0.00044 -0.00215
4 4 0.99999 -0.00351 -0.00014 -0.00230
5 5 0.99999 -0.00268 -0.00083 -0.00239
6 6 0.99999 -0.00240 -0.00150 -0.00263
7 7 0.99999 -0.00209 -0.00207 -0.00267
8 8 0.99999 -0.00211 -0.00282 -0.00287
9 9 0.99999 -0.00230 -0.00366 -0.00313
10 10 0.99998 -0.00248 -0.00407 -0.00331
# i 90 more rows
[[36]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00473 0.00140 -0.00237
2 2 0.99999 -0.00476 0.00092 -0.00247
3 3 0.99999 -0.00429 -0.00009 -0.00245
4 4 0.99999 -0.00364 -0.00103 -0.00239
5 5 0.99999 -0.00314 -0.00206 -0.00247
6 6 0.99999 -0.00293 -0.00301 -0.00266
7 7 0.99998 -0.00271 -0.00384 -0.00291
8 8 0.99998 -0.00264 -0.00443 -0.00305
9 9 0.99998 -0.00262 -0.00491 -0.00312
10 10 0.99998 -0.00272 -0.00509 -0.00315
# i 90 more rows
[[37]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00405 0.00431 0.00153
2 2 0.99998 -0.00447 0.00433 0.00136
3 3 0.99998 -0.00415 0.00429 0.00068
4 4 0.99999 -0.00322 0.00387 0.00000
5 5 0.99999 -0.00245 0.00368 -0.00052
6 6 0.99999 -0.00207 0.00348 -0.00108
7 7 0.99999 -0.00201 0.00328 -0.00172
8 8 0.99999 -0.00223 0.00308 -0.00238
9 9 0.99999 -0.00243 0.00271 -0.00286
10 10 0.99999 -0.00264 0.00230 -0.00317
# i 90 more rows
[[38]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00425 0.00425 0.00062
2 2 0.99998 -0.00416 0.00369 0.00015
3 3 0.99999 -0.00394 0.00306 -0.00044
4 4 0.99999 -0.00372 0.00287 -0.00096
5 5 0.99999 -0.00371 0.00270 -0.00153
6 6 0.99999 -0.00373 0.00240 -0.00197
7 7 0.99999 -0.00355 0.00207 -0.00235
8 8 0.99999 -0.00357 0.00178 -0.00277
9 9 0.99999 -0.00373 0.00153 -0.00325
10 10 0.99999 -0.00374 0.00126 -0.00361
# i 90 more rows
[[39]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00209 0.00312 -0.00162
2 2 0.99999 -0.00339 0.00228 -0.00137
3 3 0.99999 -0.00353 0.00140 -0.00169
4 4 0.99999 -0.00331 0.00046 -0.00196
5 5 0.99999 -0.00303 -0.00058 -0.00227
6 6 0.99999 -0.00286 -0.00125 -0.00254
7 7 0.99999 -0.00292 -0.00190 -0.00288
8 8 0.99999 -0.00309 -0.00249 -0.00322
9 9 0.99999 -0.00311 -0.00285 -0.00328
10 10 0.99998 -0.00312 -0.00323 -0.00332
# i 90 more rows
[[40]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00515 0.00471 -0.00186
2 2 0.99998 -0.00468 0.00307 -0.00183
3 3 0.99999 -0.00398 0.00175 -0.00187
4 4 0.99999 -0.00334 0.00052 -0.00196
5 5 0.99999 -0.00284 -0.00070 -0.00216
6 6 0.99999 -0.00253 -0.00191 -0.00241
7 7 0.99999 -0.00237 -0.00294 -0.00265
8 8 0.99999 -0.00249 -0.00388 -0.00294
9 9 0.99998 -0.00267 -0.00457 -0.00312
10 10 0.99998 -0.00287 -0.00492 -0.00316
# i 90 more rows
[[41]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00235 0.00084 -0.00171
2 2 0.99999 -0.00275 0.00010 -0.00189
3 3 0.99999 -0.00275 -0.00090 -0.00201
4 4 0.99999 -0.00255 -0.00196 -0.00222
5 5 0.99999 -0.00226 -0.00291 -0.00238
6 6 0.99999 -0.00216 -0.00346 -0.00262
7 7 0.99999 -0.00216 -0.00379 -0.00294
8 8 0.99998 -0.00229 -0.00396 -0.00307
9 9 0.99998 -0.00270 -0.00414 -0.00320
10 10 0.99998 -0.00295 -0.00405 -0.00327
# i 90 more rows
[[42]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00533 -0.00027 -0.00156
2 2 0.99999 -0.00432 -0.00113 -0.00164
3 3 0.99999 -0.00338 -0.00160 -0.00179
4 4 0.99999 -0.00257 -0.00191 -0.00194
5 5 0.99999 -0.00206 -0.00221 -0.00210
6 6 0.99999 -0.00193 -0.00252 -0.00230
7 7 0.99999 -0.00189 -0.00275 -0.00239
8 8 0.99999 -0.00216 -0.00312 -0.00239
9 9 0.99999 -0.00283 -0.00360 -0.00251
10 10 0.99998 -0.00391 -0.00394 -0.00259
# i 90 more rows
[[43]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00707 0.00004 -0.00247
2 2 0.99998 -0.00663 -0.00045 -0.00211
3 3 0.99998 -0.00584 -0.00098 -0.00173
4 4 0.99999 -0.00474 -0.00147 -0.00148
5 5 0.99999 -0.00382 -0.00199 -0.00131
6 6 0.99999 -0.00309 -0.00243 -0.00117
7 7 0.99999 -0.00247 -0.00293 -0.00104
8 8 0.99999 -0.00225 -0.00364 -0.00095
9 9 0.99999 -0.00230 -0.00437 -0.00086
10 10 0.99998 -0.00256 -0.00503 -0.00057
# i 90 more rows
[[44]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00695 -0.00014 -0.00269
2 2 0.99998 -0.00514 -0.00049 -0.00185
3 3 0.99999 -0.00380 -0.00085 -0.00146
4 4 0.99999 -0.00281 -0.00138 -0.00123
5 5 0.99999 -0.00244 -0.00199 -0.00110
6 6 0.99999 -0.00231 -0.00279 -0.00089
7 7 0.99999 -0.00230 -0.00344 -0.00067
8 8 0.99999 -0.00236 -0.00402 -0.00041
9 9 0.99999 -0.00251 -0.00446 -0.00017
10 10 0.99998 -0.00282 -0.00477 0.00009
# i 90 more rows
[[45]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00476 0.00215 -0.00171
2 2 0.99999 -0.00484 0.00147 -0.00183
3 3 0.99999 -0.00422 0.00073 -0.00194
4 4 0.99999 -0.00349 0.00004 -0.00205
5 5 0.99999 -0.00272 -0.00051 -0.00227
6 6 0.99999 -0.00215 -0.00094 -0.00241
7 7 0.99999 -0.00190 -0.00131 -0.00251
8 8 0.99999 -0.00170 -0.00173 -0.00255
9 9 0.99999 -0.00163 -0.00214 -0.00255
10 10 0.99999 -0.00176 -0.00260 -0.00262
# i 90 more rows
[[46]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00419 0.00323 -0.00229
2 2 0.99998 -0.00512 0.00281 -0.00230
3 3 0.99998 -0.00471 0.00196 -0.00211
4 4 0.99999 -0.00438 0.00102 -0.00211
5 5 0.99999 -0.00367 0.00035 -0.00214
6 6 0.99999 -0.00297 -0.00005 -0.00235
7 7 0.99999 -0.00218 -0.00054 -0.00260
8 8 0.99999 -0.00152 -0.00096 -0.00269
9 9 0.99999 -0.00125 -0.00132 -0.00294
10 10 1.00000 -0.00085 -0.00191 -0.00235
# i 90 more rows
[[47]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00573 0.00143 -0.00189
2 2 0.99998 -0.00633 0.00121 -0.00232
3 3 0.99998 -0.00517 0.00008 -0.00220
4 4 0.99999 -0.00397 -0.00064 -0.00219
5 5 0.99999 -0.00285 -0.00117 -0.00217
6 6 0.99999 -0.00227 -0.00165 -0.00216
7 7 0.99999 -0.00198 -0.00224 -0.00213
8 8 0.99999 -0.00166 -0.00286 -0.00197
9 9 0.99999 -0.00151 -0.00330 -0.00176
10 10 0.99999 -0.00154 -0.00365 -0.00150
# i 90 more rows
[[48]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00462 0.00241 -0.00275
2 2 0.99999 -0.00435 0.00225 -0.00239
3 3 0.99999 -0.00368 0.00117 -0.00206
4 4 0.99999 -0.00298 0.00016 -0.00180
5 5 1.00000 -0.00231 -0.00055 -0.00159
6 6 1.00000 -0.00180 -0.00110 -0.00140
7 7 1.00000 -0.00114 -0.00171 -0.00126
8 8 1.00000 -0.00066 -0.00213 -0.00117
9 9 1.00000 -0.00055 -0.00244 -0.00111
10 10 1.00000 -0.00065 -0.00288 -0.00109
# i 90 more rows
[[49]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00720 0.00242 -0.00153
2 2 0.99997 -0.00789 0.00130 -0.00174
3 3 0.99998 -0.00666 -0.00029 -0.00171
4 4 0.99999 -0.00497 -0.00136 -0.00185
5 5 0.99999 -0.00376 -0.00218 -0.00225
6 6 0.99999 -0.00262 -0.00294 -0.00282
7 7 0.99999 -0.00197 -0.00351 -0.00333
8 8 0.99999 -0.00154 -0.00378 -0.00360
9 9 0.99999 -0.00117 -0.00391 -0.00359
10 10 0.99998 -0.00118 -0.00419 -0.00372
# i 90 more rows
[[50]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00659 0.00207 -0.00181
2 2 0.99998 -0.00587 0.00072 -0.00202
3 3 0.99998 -0.00578 -0.00061 -0.00231
4 4 0.99998 -0.00504 -0.00151 -0.00269
5 5 0.99999 -0.00369 -0.00203 -0.00283
6 6 0.99999 -0.00256 -0.00247 -0.00292
7 7 0.99999 -0.00214 -0.00303 -0.00320
8 8 0.99998 -0.00189 -0.00378 -0.00358
9 9 0.99998 -0.00175 -0.00434 -0.00368
10 10 0.99998 -0.00159 -0.00442 -0.00343
# i 90 more rows
[[51]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00663 0.00021 -0.00243
2 2 0.99996 -0.00807 0.00012 -0.00222
3 3 0.99997 -0.00801 -0.00025 -0.00185
4 4 0.99997 -0.00700 -0.00072 -0.00154
5 5 0.99998 -0.00578 -0.00123 -0.00134
6 6 0.99999 -0.00453 -0.00183 -0.00120
7 7 0.99999 -0.00338 -0.00252 -0.00104
8 8 0.99999 -0.00260 -0.00346 -0.00093
9 9 0.99999 -0.00210 -0.00409 -0.00084
10 10 0.99999 -0.00173 -0.00447 -0.00060
# i 90 more rows
[[52]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00714 0.00038 -0.00254
2 2 0.99997 -0.00783 0.00007 -0.00248
3 3 0.99997 -0.00800 -0.00014 -0.00211
4 4 0.99997 -0.00746 -0.00072 -0.00198
5 5 0.99998 -0.00619 -0.00154 -0.00194
6 6 0.99998 -0.00494 -0.00237 -0.00192
7 7 0.99999 -0.00374 -0.00299 -0.00169
8 8 0.99999 -0.00266 -0.00339 -0.00137
9 9 0.99999 -0.00225 -0.00390 -0.00123
10 10 0.99999 -0.00205 -0.00437 -0.00102
# i 90 more rows
[[53]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00528 0.00375 -0.00126
2 2 0.99998 -0.00616 0.00207 -0.00151
3 3 0.99998 -0.00576 0.00039 -0.00163
4 4 0.99999 -0.00477 -0.00101 -0.00189
5 5 0.99999 -0.00371 -0.00193 -0.00212
6 6 0.99999 -0.00306 -0.00271 -0.00244
7 7 0.99999 -0.00240 -0.00345 -0.00283
8 8 0.99998 -0.00189 -0.00408 -0.00319
9 9 0.99998 -0.00169 -0.00435 -0.00334
10 10 0.99998 -0.00159 -0.00442 -0.00335
# i 90 more rows
[[54]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00512 0.00273 -0.00155
2 2 0.99998 -0.00620 0.00183 -0.00167
3 3 0.99998 -0.00547 0.00011 -0.00175
4 4 0.99998 -0.00511 -0.00138 -0.00207
5 5 0.99999 -0.00417 -0.00226 -0.00236
6 6 0.99999 -0.00302 -0.00284 -0.00261
7 7 0.99999 -0.00206 -0.00339 -0.00305
8 8 0.99998 -0.00161 -0.00406 -0.00355
9 9 0.99998 -0.00135 -0.00448 -0.00393
10 10 0.99998 -0.00133 -0.00439 -0.00405
# i 90 more rows
[[55]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00711 0.00274 -0.00228
2 2 0.99997 -0.00772 0.00186 -0.00146
3 3 0.99997 -0.00715 0.00136 -0.00106
4 4 0.99998 -0.00623 0.00076 -0.00089
5 5 0.99998 -0.00548 -0.00010 -0.00092
6 6 0.99999 -0.00445 -0.00133 -0.00104
7 7 0.99999 -0.00368 -0.00250 -0.00126
8 8 0.99999 -0.00316 -0.00351 -0.00132
9 9 0.99999 -0.00251 -0.00401 -0.00106
10 10 0.99999 -0.00210 -0.00443 -0.00081
# i 90 more rows
[[56]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00651 0.00286 -0.00281
2 2 0.99997 -0.00763 0.00150 -0.00218
3 3 0.99997 -0.00770 0.00107 -0.00162
4 4 0.99997 -0.00707 0.00055 -0.00134
5 5 0.99998 -0.00615 -0.00016 -0.00125
6 6 0.99999 -0.00488 -0.00125 -0.00118
7 7 0.99999 -0.00374 -0.00250 -0.00108
8 8 0.99999 -0.00285 -0.00341 -0.00091
9 9 0.99999 -0.00236 -0.00424 -0.00084
10 10 0.99999 -0.00204 -0.00497 -0.00069
# i 90 more rows
[[57]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00302 0.00113 -0.00151
2 2 0.99999 -0.00336 0.00107 -0.00172
3 3 0.99999 -0.00298 0.00091 -0.00154
4 4 0.99999 -0.00325 0.00105 -0.00160
5 5 0.99999 -0.00302 0.00089 -0.00172
6 6 0.99999 -0.00284 0.00055 -0.00181
7 7 0.99999 -0.00307 0.00055 -0.00188
8 8 0.99999 -0.00277 0.00042 -0.00198
9 9 0.99999 -0.00312 0.00048 -0.00194
10 10 0.99999 -0.00309 0.00062 -0.00182
# i 90 more rows
[[58]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00329 0.00247 -0.00075
2 2 0.99999 -0.00338 0.00181 -0.00091
3 3 0.99999 -0.00289 0.00129 -0.00112
4 4 1.00000 -0.00218 0.00097 -0.00132
5 5 1.00000 -0.00180 0.00062 -0.00161
6 6 1.00000 -0.00167 0.00025 -0.00195
7 7 1.00000 -0.00165 -0.00007 -0.00225
8 8 1.00000 -0.00150 -0.00049 -0.00247
9 9 0.99999 -0.00160 -0.00075 -0.00265
10 10 0.99999 -0.00178 -0.00098 -0.00273
# i 90 more rows
[[59]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00610 0.00042 -0.00038
2 2 0.99999 -0.00525 -0.00010 -0.00038
3 3 0.99999 -0.00385 -0.00110 -0.00046
4 4 1.00000 -0.00246 -0.00169 -0.00073
5 5 1.00000 -0.00142 -0.00232 -0.00117
6 6 0.99999 -0.00092 -0.00323 -0.00151
7 7 0.99999 -0.00071 -0.00401 -0.00183
8 8 0.99999 -0.00053 -0.00453 -0.00205
9 9 0.99999 -0.00019 -0.00470 -0.00202
10 10 0.99999 -0.00024 -0.00475 -0.00198
# i 90 more rows
[[60]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00277 -0.00053 -0.00115
2 2 1.00000 -0.00279 -0.00079 -0.00085
3 3 1.00000 -0.00193 -0.00158 -0.00107
4 4 1.00000 -0.00116 -0.00214 -0.00130
5 5 0.99999 -0.00071 -0.00289 -0.00151
6 6 0.99999 -0.00040 -0.00331 -0.00162
7 7 0.99999 -0.00023 -0.00399 -0.00177
8 8 0.99999 -0.00027 -0.00462 -0.00174
9 9 0.99999 -0.00033 -0.00495 -0.00159
10 10 0.99999 -0.00045 -0.00499 -0.00144
# i 90 more rows
[[61]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00279 0.00336 -0.00123
2 2 0.99999 -0.00318 0.00207 -0.00138
3 3 0.99999 -0.00322 0.00125 -0.00173
4 4 0.99999 -0.00300 0.00079 -0.00208
5 5 0.99999 -0.00272 0.00064 -0.00240
6 6 0.99999 -0.00233 0.00058 -0.00268
7 7 0.99999 -0.00219 0.00048 -0.00302
8 8 0.99999 -0.00223 0.00031 -0.00325
9 9 0.99999 -0.00235 0.00020 -0.00351
10 10 0.99999 -0.00263 -0.00002 -0.00379
# i 90 more rows
[[62]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00416 0.00339 -0.00072
2 2 0.99999 -0.00372 0.00279 -0.00121
3 3 0.99999 -0.00296 0.00186 -0.00157
4 4 0.99999 -0.00246 0.00123 -0.00201
5 5 0.99999 -0.00226 0.00069 -0.00239
6 6 0.99999 -0.00226 0.00039 -0.00266
7 7 0.99999 -0.00236 0.00009 -0.00290
8 8 0.99999 -0.00251 -0.00015 -0.00306
9 9 0.99999 -0.00272 -0.00034 -0.00317
10 10 0.99999 -0.00282 -0.00038 -0.00317
# i 90 more rows
[[63]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00638 0.00002 -0.00025
2 2 0.99999 -0.00494 -0.00044 -0.00074
3 3 0.99999 -0.00409 -0.00155 -0.00097
4 4 0.99999 -0.00321 -0.00229 -0.00124
5 5 0.99999 -0.00244 -0.00278 -0.00154
6 6 0.99999 -0.00193 -0.00330 -0.00184
7 7 0.99999 -0.00160 -0.00362 -0.00196
8 8 0.99999 -0.00147 -0.00398 -0.00203
9 9 0.99999 -0.00150 -0.00431 -0.00206
10 10 0.99999 -0.00165 -0.00459 -0.00212
# i 90 more rows
[[64]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00584 0.00114 0.00003
2 2 0.99999 -0.00511 -0.00030 -0.00059
3 3 0.99999 -0.00409 -0.00169 -0.00097
4 4 0.99999 -0.00307 -0.00247 -0.00137
5 5 0.99999 -0.00215 -0.00294 -0.00185
6 6 0.99999 -0.00165 -0.00342 -0.00226
7 7 0.99999 -0.00127 -0.00384 -0.00250
8 8 0.99999 -0.00097 -0.00404 -0.00248
9 9 0.99999 -0.00076 -0.00425 -0.00237
10 10 0.99999 -0.00087 -0.00453 -0.00231
# i 90 more rows
attr(,"class")
[1] "qts_sample" "list"
The function straighten() works
Code
straighten(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
straighten(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function log() works
Code
log(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07988 0.07001 0.01336
2 1 0.00000 0.07470 0.06775 0.01315
3 2 0.00000 0.06942 0.06467 0.01271
4 3 0.00000 0.06406 0.06099 0.01186
5 4 0.00000 0.05956 0.05749 0.01072
6 5 0.00000 0.05578 0.05408 0.00933
7 6 0.00000 0.05280 0.05084 0.00772
8 7 0.00000 0.05061 0.04765 0.00584
9 8 0.00000 0.04887 0.04434 0.00366
10 9 0.00000 0.04733 0.04074 0.00126
# i 91 more rows
Code
log(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07988 0.07001 0.01336
2 1 0.00000 0.07470 0.06775 0.01315
3 2 0.00000 0.06942 0.06467 0.01271
4 3 0.00000 0.06406 0.06099 0.01186
5 4 0.00000 0.05956 0.05749 0.01072
6 5 0.00000 0.05578 0.05408 0.00933
7 6 0.00000 0.05280 0.05084 0.00772
8 7 0.00000 0.05061 0.04765 0.00584
9 8 0.00000 0.04887 0.04434 0.00366
10 9 0.00000 0.04733 0.04074 0.00126
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08299 0.07385 0.00996
2 1 0.00000 0.07741 0.07133 0.01037
3 2 0.00000 0.07183 0.06841 0.01061
4 3 0.00000 0.06608 0.06499 0.01049
5 4 0.00000 0.06040 0.06132 0.01007
6 5 0.00000 0.05531 0.05762 0.00928
7 6 0.00000 0.05147 0.05423 0.00811
8 7 0.00000 0.04853 0.05084 0.00655
9 8 0.00000 0.04625 0.04727 0.00461
10 9 0.00000 0.04445 0.04347 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09972 0.06286 -0.02978
2 1 0.00000 0.09410 0.06362 -0.02948
3 2 0.00000 0.08761 0.06348 -0.02837
4 3 0.00000 0.08021 0.06266 -0.02701
5 4 0.00000 0.07323 0.06145 -0.02555
6 5 0.00000 0.06713 0.05986 -0.02426
7 6 0.00000 0.06191 0.05789 -0.02308
8 7 0.00000 0.05769 0.05550 -0.02201
9 8 0.00000 0.05431 0.05262 -0.02106
10 9 0.00000 0.05155 0.04920 -0.02022
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09692 0.06323 -0.03172
2 1 0.00000 0.09120 0.06417 -0.03089
3 2 0.00000 0.08503 0.06404 -0.02976
4 3 0.00000 0.07835 0.06335 -0.02842
5 4 0.00000 0.07172 0.06217 -0.02700
6 5 0.00000 0.06579 0.06061 -0.02568
7 6 0.00000 0.06083 0.05869 -0.02450
8 7 0.00000 0.05699 0.05640 -0.02350
9 8 0.00000 0.05407 0.05364 -0.02260
10 9 0.00000 0.05192 0.05018 -0.02184
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08069 0.07040 0.01618
2 1 0.00000 0.07571 0.06834 0.01538
3 2 0.00000 0.07097 0.06577 0.01508
4 3 0.00000 0.06638 0.06255 0.01463
5 4 0.00000 0.06210 0.05907 0.01381
6 5 0.00000 0.05816 0.05547 0.01260
7 6 0.00000 0.05471 0.05189 0.01103
8 7 0.00000 0.05200 0.04848 0.00913
9 8 0.00000 0.04998 0.04511 0.00692
10 9 0.00000 0.04840 0.04160 0.00449
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08824 0.07403 0.01486
2 1 0.00000 0.08261 0.07383 0.01452
3 2 0.00000 0.07708 0.07198 0.01453
4 3 0.00000 0.07135 0.06891 0.01447
5 4 0.00000 0.06577 0.06526 0.01414
6 5 0.00000 0.06079 0.06160 0.01355
7 6 0.00000 0.05655 0.05806 0.01260
8 7 0.00000 0.05357 0.05481 0.01113
9 8 0.00000 0.05154 0.05162 0.00923
10 9 0.00000 0.05000 0.04819 0.00688
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07372 0.03620 -0.04877
2 1 0.00000 0.07010 0.03840 -0.04850
3 2 0.00000 0.06692 0.04071 -0.04786
4 3 0.00000 0.06378 0.04269 -0.04669
5 4 0.00000 0.06053 0.04415 -0.04522
6 5 0.00000 0.05731 0.04508 -0.04350
7 6 0.00000 0.05420 0.04562 -0.04144
8 7 0.00000 0.05147 0.04531 -0.03935
9 8 0.00000 0.04921 0.04417 -0.03731
10 9 0.00000 0.04720 0.04248 -0.03533
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06920 0.04694 -0.05384
2 1 0.00000 0.06673 0.04896 -0.05166
3 2 0.00000 0.06365 0.05111 -0.04900
4 3 0.00000 0.06035 0.05265 -0.04634
5 4 0.00000 0.05701 0.05350 -0.04376
6 5 0.00000 0.05382 0.05353 -0.04129
7 6 0.00000 0.05109 0.05252 -0.03902
8 7 0.00000 0.04882 0.05052 -0.03692
9 8 0.00000 0.04705 0.04762 -0.03494
10 9 0.00000 0.04561 0.04393 -0.03306
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08389 0.06404 0.02336
2 1 0.00000 0.07736 0.06357 0.02452
3 2 0.00000 0.06987 0.06182 0.02529
4 3 0.00000 0.06153 0.05877 0.02565
5 4 0.00000 0.05354 0.05500 0.02536
6 5 0.00000 0.04650 0.05089 0.02436
7 6 0.00000 0.04118 0.04683 0.02249
8 7 0.00000 0.03773 0.04323 0.01982
9 8 0.00000 0.03584 0.04023 0.01637
10 9 0.00000 0.03489 0.03796 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08175 0.06777 0.02297
2 1 0.00000 0.07407 0.06805 0.02381
3 2 0.00000 0.06619 0.06665 0.02476
4 3 0.00000 0.05827 0.06381 0.02524
5 4 0.00000 0.05046 0.06015 0.02513
6 5 0.00000 0.04348 0.05616 0.02431
7 6 0.00000 0.03787 0.05223 0.02267
8 7 0.00000 0.03413 0.04876 0.02031
9 8 0.00000 0.03206 0.04582 0.01738
10 9 0.00000 0.03143 0.04350 0.01396
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09146 0.06222 0.01491
2 1 0.00000 0.08400 0.06468 0.01548
3 2 0.00000 0.07675 0.06619 0.01616
4 3 0.00000 0.07020 0.06640 0.01669
5 4 0.00000 0.06511 0.06537 0.01689
6 5 0.00000 0.06124 0.06309 0.01669
7 6 0.00000 0.05824 0.05937 0.01606
8 7 0.00000 0.05539 0.05448 0.01510
9 8 0.00000 0.05270 0.04903 0.01383
10 9 0.00000 0.05027 0.04373 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09118 0.06255 0.01473
2 1 0.00000 0.08347 0.06589 0.01535
3 2 0.00000 0.07602 0.06799 0.01638
4 3 0.00000 0.06938 0.06849 0.01742
5 4 0.00000 0.06373 0.06705 0.01833
6 5 0.00000 0.05863 0.06386 0.01906
7 6 0.00000 0.05413 0.05932 0.01935
8 7 0.00000 0.05021 0.05402 0.01916
9 8 0.00000 0.04720 0.04868 0.01833
10 9 0.00000 0.04508 0.04433 0.01689
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.05089 0.07130 0.02994
2 1 0.00000 0.04737 0.06860 0.03024
3 2 0.00000 0.04351 0.06432 0.03062
4 3 0.00000 0.04023 0.06055 0.03027
5 4 0.00000 0.03772 0.05748 0.02921
6 5 0.00000 0.03614 0.05524 0.02741
7 6 0.00000 0.03524 0.05367 0.02509
8 7 0.00000 0.03472 0.05253 0.02239
9 8 0.00000 0.03415 0.05152 0.01938
10 9 0.00000 0.03315 0.05044 0.01625
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.05739 0.07197 0.02943
2 1 0.00000 0.05391 0.07004 0.03033
3 2 0.00000 0.04984 0.06734 0.03080
4 3 0.00000 0.04609 0.06406 0.03069
5 4 0.00000 0.04299 0.06066 0.02994
6 5 0.00000 0.04074 0.05746 0.02852
7 6 0.00000 0.03938 0.05457 0.02650
8 7 0.00000 0.03866 0.05195 0.02409
9 8 0.00000 0.03813 0.04952 0.02145
10 9 0.00000 0.03733 0.04715 0.01870
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.04770 0.07868 0.00968
2 1 0.00000 0.04326 0.07672 0.01101
3 2 0.00000 0.03921 0.07362 0.01214
4 3 0.00000 0.03579 0.06971 0.01264
5 4 0.00000 0.03315 0.06543 0.01246
6 5 0.00000 0.03148 0.06120 0.01155
7 6 0.00000 0.03070 0.05720 0.00996
8 7 0.00000 0.03048 0.05355 0.00792
9 8 0.00000 0.03049 0.05029 0.00565
10 9 0.00000 0.03028 0.04745 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.05960 0.07897 0.00835
2 1 0.00000 0.05426 0.07807 0.01000
3 2 0.00000 0.04965 0.07583 0.01140
4 3 0.00000 0.04561 0.07265 0.01229
5 4 0.00000 0.04235 0.06896 0.01264
6 5 0.00000 0.04000 0.06508 0.01236
7 6 0.00000 0.03861 0.06129 0.01145
8 7 0.00000 0.03787 0.05763 0.00996
9 8 0.00000 0.03743 0.05404 0.00803
10 9 0.00000 0.03683 0.05042 0.00591
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06364 0.03547 0.04607
2 1 0.00000 0.05928 0.03562 0.04491
3 2 0.00000 0.05527 0.03521 0.04357
4 3 0.00000 0.05125 0.03481 0.04195
5 4 0.00000 0.04743 0.03446 0.04014
6 5 0.00000 0.04386 0.03428 0.03800
7 6 0.00000 0.04068 0.03425 0.03556
8 7 0.00000 0.03782 0.03429 0.03284
9 8 0.00000 0.03512 0.03438 0.02994
10 9 0.00000 0.03248 0.03449 0.02694
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06305 0.03605 0.05031
2 1 0.00000 0.05826 0.03515 0.04928
3 2 0.00000 0.05382 0.03417 0.04799
4 3 0.00000 0.04967 0.03345 0.04632
5 4 0.00000 0.04595 0.03297 0.04438
6 5 0.00000 0.04265 0.03262 0.04205
7 6 0.00000 0.03986 0.03235 0.03937
8 7 0.00000 0.03754 0.03221 0.03641
9 8 0.00000 0.03525 0.03218 0.03316
10 9 0.00000 0.03298 0.03213 0.02985
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08772 0.06125 0.00737
2 1 0.00000 0.08397 0.06256 0.00784
3 2 0.00000 0.08013 0.06268 0.00849
4 3 0.00000 0.07579 0.06154 0.00927
5 4 0.00000 0.07119 0.05959 0.00999
6 5 0.00000 0.06649 0.05701 0.01056
7 6 0.00000 0.06194 0.05400 0.01083
8 7 0.00000 0.05754 0.05059 0.01065
9 8 0.00000 0.05346 0.04680 0.00994
10 9 0.00000 0.04979 0.04284 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07986 0.07210 0.01189
2 1 0.00000 0.07452 0.07054 0.01250
3 2 0.00000 0.06942 0.06803 0.01332
4 3 0.00000 0.06424 0.06491 0.01378
5 4 0.00000 0.05947 0.06158 0.01373
6 5 0.00000 0.05549 0.05822 0.01314
7 6 0.00000 0.05217 0.05476 0.01210
8 7 0.00000 0.04918 0.05097 0.01067
9 8 0.00000 0.04644 0.04677 0.00886
10 9 0.00000 0.04386 0.04236 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07787 0.04217 0.04341
2 1 0.00000 0.07228 0.04130 0.04290
3 2 0.00000 0.06728 0.04026 0.04228
4 3 0.00000 0.06243 0.03939 0.04126
5 4 0.00000 0.05803 0.03873 0.03982
6 5 0.00000 0.05396 0.03833 0.03786
7 6 0.00000 0.05017 0.03811 0.03538
8 7 0.00000 0.04655 0.03800 0.03256
9 8 0.00000 0.04313 0.03797 0.02962
10 9 0.00000 0.03968 0.03799 0.02658
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07083 0.04544 0.04030
2 1 0.00000 0.06599 0.04402 0.04003
3 2 0.00000 0.06085 0.04249 0.03935
4 3 0.00000 0.05582 0.04135 0.03822
5 4 0.00000 0.05142 0.04075 0.03663
6 5 0.00000 0.04764 0.04046 0.03461
7 6 0.00000 0.04434 0.04022 0.03211
8 7 0.00000 0.04157 0.04003 0.02937
9 8 0.00000 0.03895 0.03986 0.02647
10 9 0.00000 0.03606 0.03961 0.02343
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08735 0.06517 0.01473
2 1 0.00000 0.08311 0.06594 0.01520
3 2 0.00000 0.07912 0.06543 0.01619
4 3 0.00000 0.07483 0.06383 0.01726
5 4 0.00000 0.07024 0.06135 0.01816
6 5 0.00000 0.06564 0.05831 0.01868
7 6 0.00000 0.06114 0.05487 0.01856
8 7 0.00000 0.05692 0.05125 0.01792
9 8 0.00000 0.05296 0.04734 0.01674
10 9 0.00000 0.04926 0.04312 0.01500
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08645 0.07239 0.01582
2 1 0.00000 0.08182 0.07259 0.01576
3 2 0.00000 0.07793 0.07215 0.01646
4 3 0.00000 0.07385 0.07065 0.01719
5 4 0.00000 0.06945 0.06819 0.01789
6 5 0.00000 0.06492 0.06501 0.01835
7 6 0.00000 0.06042 0.06129 0.01841
8 7 0.00000 0.05625 0.05729 0.01791
9 8 0.00000 0.05235 0.05297 0.01689
10 9 0.00000 0.04872 0.04835 0.01537
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06293 0.04833 0.00875
2 1 0.00000 0.06216 0.04591 0.00789
3 2 0.00000 0.06000 0.04236 0.00712
4 3 0.00000 0.05697 0.03839 0.00643
5 4 0.00000 0.05314 0.03409 0.00576
6 5 0.00000 0.04837 0.02947 0.00511
7 6 0.00000 0.04247 0.02454 0.00458
8 7 0.00000 0.03588 0.01970 0.00403
9 8 0.00000 0.02881 0.01491 0.00350
10 9 0.00000 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06787 0.07127 0.01240
2 1 0.00000 0.06462 0.06745 0.01333
3 2 0.00000 0.06122 0.06364 0.01386
4 3 0.00000 0.05778 0.06007 0.01414
5 4 0.00000 0.05407 0.05674 0.01413
6 5 0.00000 0.05096 0.05385 0.01388
7 6 0.00000 0.04858 0.05138 0.01329
8 7 0.00000 0.04655 0.04889 0.01244
9 8 0.00000 0.04486 0.04619 0.01135
10 9 0.00000 0.04327 0.04332 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.02819 0.06437 -0.02135
2 1 0.00000 0.02691 0.06132 -0.01879
3 2 0.00000 0.02635 0.05773 -0.01655
4 3 0.00000 0.02659 0.05423 -0.01503
5 4 0.00000 0.02741 0.05072 -0.01394
6 5 0.00000 0.02873 0.04737 -0.01333
7 6 0.00000 0.03009 0.04432 -0.01323
8 7 0.00000 0.03114 0.04129 -0.01345
9 8 0.00000 0.03180 0.03809 -0.01382
10 9 0.00000 0.03199 0.03463 -0.01418
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.04003 0.06910 -0.02854
2 1 0.00000 0.03670 0.06745 -0.02650
3 2 0.00000 0.03468 0.06535 -0.02423
4 3 0.00000 0.03348 0.06296 -0.02205
5 4 0.00000 0.03319 0.06063 -0.02018
6 5 0.00000 0.03377 0.05836 -0.01884
7 6 0.00000 0.03490 0.05591 -0.01793
8 7 0.00000 0.03629 0.05329 -0.01755
9 8 0.00000 0.03744 0.05033 -0.01768
10 9 0.00000 0.03817 0.04699 -0.01811
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.03636 0.07536 -0.00826
2 1 0.00000 0.03466 0.07239 -0.00561
3 2 0.00000 0.03275 0.06886 -0.00297
4 3 0.00000 0.03148 0.06550 -0.00080
5 4 0.00000 0.03087 0.06273 0.00070
6 5 0.00000 0.03092 0.06064 0.00141
7 6 0.00000 0.03137 0.05877 0.00149
8 7 0.00000 0.03197 0.05683 0.00109
9 8 0.00000 0.03246 0.05449 0.00039
10 9 0.00000 0.03264 0.05158 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.03340 0.07627 -0.00600
2 1 0.00000 0.03333 0.07353 -0.00403
3 2 0.00000 0.03194 0.07098 -0.00210
4 3 0.00000 0.03107 0.06833 -0.00061
5 4 0.00000 0.03084 0.06590 0.00031
6 5 0.00000 0.03113 0.06355 0.00068
7 6 0.00000 0.03179 0.06124 0.00052
8 7 0.00000 0.03252 0.05870 0.00002
9 8 0.00000 0.03307 0.05574 -0.00068
10 9 0.00000 0.03326 0.05219 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.02606 0.06468 -0.03513
2 1 0.00000 0.02466 0.06378 -0.03208
3 2 0.00000 0.02392 0.06257 -0.02934
4 3 0.00000 0.02363 0.06095 -0.02704
5 4 0.00000 0.02392 0.05905 -0.02533
6 5 0.00000 0.02466 0.05697 -0.02414
7 6 0.00000 0.02555 0.05457 -0.02318
8 7 0.00000 0.02643 0.05180 -0.02239
9 8 0.00000 0.02704 0.04848 -0.02165
10 9 0.00000 0.02731 0.04464 -0.02078
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.02191 0.06459 -0.03156
2 1 0.00000 0.02054 0.06284 -0.02951
3 2 0.00000 0.02024 0.06118 -0.02758
4 3 0.00000 0.02045 0.05949 -0.02601
5 4 0.00000 0.02125 0.05762 -0.02491
6 5 0.00000 0.02245 0.05534 -0.02416
7 6 0.00000 0.02385 0.05255 -0.02359
8 7 0.00000 0.02527 0.04918 -0.02305
9 8 0.00000 0.02652 0.04520 -0.02246
10 9 0.00000 0.02733 0.04073 -0.02169
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12479 0.00929 0.04877
2 1 0.00000 0.11974 0.01259 0.04936
3 2 0.00000 0.11487 0.01609 0.04976
4 3 0.00000 0.11015 0.01933 0.04970
5 4 0.00000 0.10586 0.02237 0.04924
6 5 0.00000 0.10212 0.02531 0.04839
7 6 0.00000 0.09882 0.02808 0.04704
8 7 0.00000 0.09574 0.03061 0.04519
9 8 0.00000 0.09267 0.03288 0.04283
10 9 0.00000 0.08956 0.03487 0.04000
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11116 0.00763 0.04540
2 1 0.00000 0.10863 0.01073 0.04583
3 2 0.00000 0.10539 0.01365 0.04547
4 3 0.00000 0.10239 0.01650 0.04455
5 4 0.00000 0.09990 0.01910 0.04308
6 5 0.00000 0.09756 0.02149 0.04110
7 6 0.00000 0.09509 0.02370 0.03862
8 7 0.00000 0.09236 0.02544 0.03568
9 8 0.00000 0.08934 0.02672 0.03251
10 9 0.00000 0.08609 0.02766 0.02913
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12394 0.04408 0.04480
2 1 0.00000 0.11938 0.04579 0.04376
3 2 0.00000 0.11488 0.04694 0.04211
4 3 0.00000 0.11065 0.04744 0.04021
5 4 0.00000 0.10704 0.04741 0.03807
6 5 0.00000 0.10427 0.04674 0.03572
7 6 0.00000 0.10180 0.04543 0.03305
8 7 0.00000 0.09965 0.04356 0.03027
9 8 0.00000 0.09750 0.04097 0.02722
10 9 0.00000 0.09516 0.03756 0.02384
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12101 0.05276 0.04619
2 1 0.00000 0.11609 0.05421 0.04425
3 2 0.00000 0.11117 0.05518 0.04215
4 3 0.00000 0.10675 0.05517 0.03994
5 4 0.00000 0.10302 0.05425 0.03765
6 5 0.00000 0.09982 0.05233 0.03514
7 6 0.00000 0.09685 0.04949 0.03233
8 7 0.00000 0.09411 0.04585 0.02920
9 8 0.00000 0.09146 0.04165 0.02586
10 9 0.00000 0.08883 0.03697 0.02241
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11911 0.00200 0.04189
2 1 0.00000 0.11488 0.00593 0.04393
3 2 0.00000 0.11024 0.00988 0.04580
4 3 0.00000 0.10591 0.01389 0.04698
5 4 0.00000 0.10252 0.01758 0.04744
6 5 0.00000 0.09988 0.02118 0.04733
7 6 0.00000 0.09762 0.02466 0.04664
8 7 0.00000 0.09542 0.02800 0.04529
9 8 0.00000 0.09299 0.03119 0.04328
10 9 0.00000 0.09035 0.03405 0.04075
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11739 0.00974 0.03784
2 1 0.00000 0.11299 0.01374 0.03900
3 2 0.00000 0.10870 0.01723 0.03961
4 3 0.00000 0.10463 0.02016 0.03957
5 4 0.00000 0.10078 0.02297 0.03898
6 5 0.00000 0.09693 0.02566 0.03781
7 6 0.00000 0.09307 0.02810 0.03617
8 7 0.00000 0.08938 0.03025 0.03412
9 8 0.00000 0.08567 0.03214 0.03161
10 9 0.00000 0.08179 0.03382 0.02862
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12902 0.02490 0.05023
2 1 0.00000 0.12673 0.02810 0.04908
3 2 0.00000 0.12320 0.03037 0.04809
4 3 0.00000 0.11955 0.03179 0.04668
5 4 0.00000 0.11616 0.03232 0.04489
6 5 0.00000 0.11309 0.03187 0.04266
7 6 0.00000 0.11020 0.03078 0.04007
8 7 0.00000 0.10726 0.02909 0.03708
9 8 0.00000 0.10416 0.02684 0.03369
10 9 0.00000 0.10106 0.02424 0.03020
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.13574 0.03507 0.04748
2 1 0.00000 0.13031 0.03974 0.04645
3 2 0.00000 0.12543 0.04281 0.04521
4 3 0.00000 0.12129 0.04459 0.04373
5 4 0.00000 0.11784 0.04519 0.04198
6 5 0.00000 0.11493 0.04462 0.03987
7 6 0.00000 0.11237 0.04289 0.03737
8 7 0.00000 0.10999 0.04017 0.03450
9 8 0.00000 0.10750 0.03654 0.03124
10 9 0.00000 0.10485 0.03224 0.02773
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11075 0.04919 0.03535
2 1 0.00000 0.10829 0.05013 0.03386
3 2 0.00000 0.10544 0.05034 0.03212
4 3 0.00000 0.10262 0.04956 0.03016
5 4 0.00000 0.10002 0.04775 0.02788
6 5 0.00000 0.09771 0.04502 0.02532
7 6 0.00000 0.09552 0.04177 0.02246
8 7 0.00000 0.09331 0.03822 0.01926
9 8 0.00000 0.09097 0.03451 0.01592
10 9 0.00000 0.08822 0.03063 0.01244
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11859 0.04730 0.02482
2 1 0.00000 0.11319 0.04708 0.02348
3 2 0.00000 0.10882 0.04603 0.02192
4 3 0.00000 0.10539 0.04455 0.02012
5 4 0.00000 0.10277 0.04280 0.01810
6 5 0.00000 0.10066 0.04077 0.01587
7 6 0.00000 0.09867 0.03846 0.01340
8 7 0.00000 0.09672 0.03592 0.01082
9 8 0.00000 0.09450 0.03302 0.00822
10 9 0.00000 0.09161 0.02964 0.00547
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.13172 0.07200 0.01361
2 1 0.00000 0.12448 0.07224 0.01167
3 2 0.00000 0.11771 0.07196 0.00999
4 3 0.00000 0.11176 0.07111 0.00858
5 4 0.00000 0.10693 0.06976 0.00728
6 5 0.00000 0.10303 0.06788 0.00603
7 6 0.00000 0.09988 0.06556 0.00483
8 7 0.00000 0.09735 0.06273 0.00367
9 8 0.00000 0.09505 0.05918 0.00251
10 9 0.00000 0.09270 0.05490 0.00138
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12313 0.07343 0.01332
2 1 0.00000 0.11600 0.07351 0.01114
3 2 0.00000 0.11074 0.07316 0.00962
4 3 0.00000 0.10685 0.07243 0.00835
5 4 0.00000 0.10396 0.07115 0.00718
6 5 0.00000 0.10146 0.06925 0.00605
7 6 0.00000 0.09911 0.06655 0.00504
8 7 0.00000 0.09678 0.06317 0.00418
9 8 0.00000 0.09440 0.05918 0.00353
10 9 0.00000 0.09189 0.05474 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11302 0.04802 0.03102
2 1 0.00000 0.10811 0.05019 0.02979
3 2 0.00000 0.10315 0.05169 0.02836
4 3 0.00000 0.09881 0.05249 0.02672
5 4 0.00000 0.09521 0.05264 0.02486
6 5 0.00000 0.09238 0.05228 0.02270
7 6 0.00000 0.09012 0.05151 0.02032
8 7 0.00000 0.08812 0.05039 0.01780
9 8 0.00000 0.08632 0.04885 0.01520
10 9 0.00000 0.08460 0.04691 0.01255
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11145 0.03932 0.02652
2 1 0.00000 0.10709 0.04267 0.02476
3 2 0.00000 0.10181 0.04557 0.02298
4 3 0.00000 0.09696 0.04762 0.02129
5 4 0.00000 0.09247 0.04875 0.01950
6 5 0.00000 0.08869 0.04921 0.01757
7 6 0.00000 0.08560 0.04931 0.01537
8 7 0.00000 0.08331 0.04895 0.01284
9 8 0.00000 0.08167 0.04820 0.01016
10 9 0.00000 0.08029 0.04711 0.00718
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11295 0.06035 0.02329
2 1 0.00000 0.10708 0.06184 0.02191
3 2 0.00000 0.10059 0.06314 0.02012
4 3 0.00000 0.09529 0.06333 0.01826
5 4 0.00000 0.09120 0.06281 0.01627
6 5 0.00000 0.08823 0.06179 0.01417
7 6 0.00000 0.08584 0.06030 0.01202
8 7 0.00000 0.08376 0.05822 0.00982
9 8 0.00000 0.08201 0.05551 0.00771
10 9 0.00000 0.08042 0.05235 0.00576
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.10194 0.05078 0.02312
2 1 0.00000 0.09713 0.05335 0.02085
3 2 0.00000 0.09261 0.05573 0.01893
4 3 0.00000 0.08879 0.05700 0.01719
5 4 0.00000 0.08571 0.05727 0.01557
6 5 0.00000 0.08332 0.05682 0.01407
7 6 0.00000 0.08145 0.05581 0.01269
8 7 0.00000 0.08027 0.05419 0.01135
9 8 0.00000 0.07956 0.05215 0.01006
10 9 0.00000 0.07898 0.04979 0.00878
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14997 0.03639 0.03880
2 1 0.00000 0.14263 0.03872 0.03789
3 2 0.00000 0.13462 0.03995 0.03664
4 3 0.00000 0.12791 0.03963 0.03516
5 4 0.00000 0.12292 0.03833 0.03333
6 5 0.00000 0.11914 0.03631 0.03096
7 6 0.00000 0.11650 0.03363 0.02790
8 7 0.00000 0.11451 0.03046 0.02425
9 8 0.00000 0.11294 0.02707 0.02028
10 9 0.00000 0.11175 0.02357 0.01629
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14488 0.02988 0.04404
2 1 0.00000 0.13815 0.03189 0.04273
3 2 0.00000 0.13218 0.03263 0.04100
4 3 0.00000 0.12635 0.03208 0.03880
5 4 0.00000 0.12129 0.03072 0.03608
6 5 0.00000 0.11758 0.02890 0.03313
7 6 0.00000 0.11501 0.02669 0.03001
8 7 0.00000 0.11287 0.02398 0.02653
9 8 0.00000 0.11099 0.02057 0.02258
10 9 0.00000 0.10925 0.01661 0.01848
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15763 0.06424 0.00998
2 1 0.00000 0.15085 0.06474 0.00803
3 2 0.00000 0.14264 0.06511 0.00637
4 3 0.00000 0.13452 0.06504 0.00501
5 4 0.00000 0.12744 0.06448 0.00384
6 5 0.00000 0.12158 0.06339 0.00273
7 6 0.00000 0.11698 0.06169 0.00160
8 7 0.00000 0.11354 0.05929 0.00049
9 8 0.00000 0.11088 0.05594 -0.00067
10 9 0.00000 0.10873 0.05195 -0.00185
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15813 0.07688 0.01357
2 1 0.00000 0.15081 0.07753 0.01166
3 2 0.00000 0.14280 0.07785 0.00981
4 3 0.00000 0.13466 0.07790 0.00832
5 4 0.00000 0.12706 0.07737 0.00684
6 5 0.00000 0.12074 0.07601 0.00519
7 6 0.00000 0.11566 0.07384 0.00338
8 7 0.00000 0.11181 0.07104 0.00163
9 8 0.00000 0.10905 0.06781 0.00008
10 9 0.00000 0.10671 0.06404 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14799 0.03294 0.02931
2 1 0.00000 0.14257 0.03668 0.02879
3 2 0.00000 0.13630 0.03876 0.02780
4 3 0.00000 0.13046 0.03919 0.02645
5 4 0.00000 0.12564 0.03830 0.02462
6 5 0.00000 0.12190 0.03655 0.02240
7 6 0.00000 0.11881 0.03407 0.01975
8 7 0.00000 0.11637 0.03093 0.01661
9 8 0.00000 0.11444 0.02721 0.01301
10 9 0.00000 0.11271 0.02324 0.00924
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14999 0.03631 0.03794
2 1 0.00000 0.14471 0.03904 0.03699
3 2 0.00000 0.13838 0.04086 0.03583
4 3 0.00000 0.13284 0.04101 0.03432
5 4 0.00000 0.12769 0.03972 0.03228
6 5 0.00000 0.12349 0.03763 0.02981
7 6 0.00000 0.12045 0.03503 0.02697
8 7 0.00000 0.11837 0.03196 0.02360
9 8 0.00000 0.11673 0.02830 0.01964
10 9 0.00000 0.11535 0.02427 0.01525
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15765 0.05132 0.00548
2 1 0.00000 0.15042 0.05434 0.00402
3 2 0.00000 0.14263 0.05635 0.00327
4 3 0.00000 0.13543 0.05781 0.00281
5 4 0.00000 0.12916 0.05865 0.00239
6 5 0.00000 0.12363 0.05864 0.00178
7 6 0.00000 0.11913 0.05742 0.00084
8 7 0.00000 0.11537 0.05507 -0.00049
9 8 0.00000 0.11213 0.05173 -0.00204
10 9 0.00000 0.10955 0.04785 -0.00342
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15904 0.05959 0.00490
2 1 0.00000 0.15237 0.06281 0.00295
3 2 0.00000 0.14461 0.06458 0.00149
4 3 0.00000 0.13682 0.06584 0.00054
5 4 0.00000 0.12968 0.06655 -0.00025
6 5 0.00000 0.12345 0.06654 -0.00110
7 6 0.00000 0.11849 0.06544 -0.00211
8 7 0.00000 0.11468 0.06308 -0.00323
9 8 0.00000 0.11176 0.05979 -0.00435
10 9 0.00000 0.10932 0.05567 -0.00552
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06744 0.01866 -0.02188
2 1 0.00000 0.06442 0.01996 -0.02325
3 2 0.00000 0.06105 0.02122 -0.02483
4 3 0.00000 0.05806 0.02229 -0.02625
5 4 0.00000 0.05481 0.02352 -0.02771
6 5 0.00000 0.05178 0.02458 -0.02932
7 6 0.00000 0.04891 0.02531 -0.03103
8 7 0.00000 0.04581 0.02604 -0.03280
9 8 0.00000 0.04300 0.02664 -0.03468
10 9 0.00000 0.03985 0.02732 -0.03651
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09275 0.01310 0.00710
2 1 0.00000 0.08943 0.01561 0.00662
3 2 0.00000 0.08603 0.01747 0.00592
4 3 0.00000 0.08311 0.01884 0.00497
5 4 0.00000 0.08091 0.01990 0.00377
6 5 0.00000 0.07908 0.02064 0.00225
7 6 0.00000 0.07737 0.02104 0.00036
8 7 0.00000 0.07567 0.02114 -0.00186
9 8 0.00000 0.07411 0.02085 -0.00432
10 9 0.00000 0.07245 0.02030 -0.00699
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08764 0.06589 0.00953
2 1 0.00000 0.08152 0.06628 0.00959
3 2 0.00000 0.07626 0.06615 0.00955
4 3 0.00000 0.07240 0.06504 0.00925
5 4 0.00000 0.06990 0.06338 0.00857
6 5 0.00000 0.06843 0.06113 0.00733
7 6 0.00000 0.06743 0.05800 0.00566
8 7 0.00000 0.06664 0.05412 0.00360
9 8 0.00000 0.06601 0.04972 0.00128
10 9 0.00000 0.06571 0.04516 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08405 0.06611 0.00855
2 1 0.00000 0.08121 0.06565 0.00754
3 2 0.00000 0.07837 0.06490 0.00681
4 3 0.00000 0.07638 0.06339 0.00574
5 4 0.00000 0.07514 0.06135 0.00435
6 5 0.00000 0.07435 0.05858 0.00268
7 6 0.00000 0.07386 0.05539 0.00084
8 7 0.00000 0.07353 0.05153 -0.00121
9 8 0.00000 0.07316 0.04704 -0.00327
10 9 0.00000 0.07273 0.04222 -0.00520
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09938 0.03381 0.01291
2 1 0.00000 0.09651 0.03724 0.01211
3 2 0.00000 0.09326 0.03940 0.01106
4 3 0.00000 0.08995 0.04076 0.00957
5 4 0.00000 0.08687 0.04171 0.00769
6 5 0.00000 0.08404 0.04253 0.00547
7 6 0.00000 0.08160 0.04332 0.00294
8 7 0.00000 0.07928 0.04403 0.00006
9 8 0.00000 0.07691 0.04460 -0.00306
10 9 0.00000 0.07441 0.04507 -0.00644
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09821 0.03656 0.00845
2 1 0.00000 0.09399 0.03997 0.00821
3 2 0.00000 0.09021 0.04282 0.00742
4 3 0.00000 0.08717 0.04479 0.00615
5 4 0.00000 0.08462 0.04618 0.00436
6 5 0.00000 0.08225 0.04705 0.00214
7 6 0.00000 0.07987 0.04765 -0.00037
8 7 0.00000 0.07737 0.04798 -0.00315
9 8 0.00000 0.07472 0.04807 -0.00609
10 9 0.00000 0.07184 0.04798 -0.00915
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09465 0.06034 0.00781
2 1 0.00000 0.08827 0.06032 0.00795
3 2 0.00000 0.08330 0.05989 0.00747
4 3 0.00000 0.07916 0.05838 0.00662
5 4 0.00000 0.07589 0.05616 0.00539
6 5 0.00000 0.07337 0.05349 0.00378
7 6 0.00000 0.07135 0.05032 0.00181
8 7 0.00000 0.06966 0.04685 -0.00032
9 8 0.00000 0.06809 0.04302 -0.00255
10 9 0.00000 0.06648 0.03886 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.10308 0.06123 0.01024
2 1 0.00000 0.09724 0.06230 0.01075
3 2 0.00000 0.09210 0.06198 0.01044
4 3 0.00000 0.08797 0.06034 0.00958
5 4 0.00000 0.08484 0.05796 0.00817
6 5 0.00000 0.08261 0.05517 0.00620
7 6 0.00000 0.08085 0.05193 0.00375
8 7 0.00000 0.07945 0.04830 0.00102
9 8 0.00000 0.07836 0.04446 -0.00173
10 9 0.00000 0.07748 0.04041 -0.00440
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function reorient() works
Code
reorient(vespa64$igp[[1]], disable_normalization = FALSE)
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
Code
reorient(vespa64$igp[[1]], disable_normalization = TRUE)
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
Code
reorient(vespa64$igp, disable_normalization = FALSE)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00562 -0.00244 0.00021
3 2 0.99992 -0.01124 -0.00530 0.00027
4 3 0.99982 -0.01701 -0.00867 0.00000
5 4 0.99967 -0.02269 -0.01233 -0.00054
6 5 0.99949 -0.02776 -0.01603 -0.00139
7 6 0.99931 -0.03155 -0.01949 -0.00256
8 7 0.99914 -0.03440 -0.02296 -0.00404
9 8 0.99896 -0.03658 -0.02667 -0.00584
10 9 0.99877 -0.03826 -0.03062 -0.00789
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00564 0.00059 -0.00011
3 2 0.99993 -0.01218 0.00035 0.00061
4 3 0.99981 -0.01962 -0.00058 0.00158
5 4 0.99964 -0.02664 -0.00187 0.00273
6 5 0.99945 -0.03276 -0.00353 0.00379
7 6 0.99925 -0.03799 -0.00553 0.00484
8 7 0.99906 -0.04220 -0.00794 0.00589
9 8 0.99888 -0.04556 -0.01082 0.00691
10 9 0.99870 -0.04827 -0.01423 0.00791
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00579 0.00081 0.00039
3 2 0.99993 -0.01201 0.00056 0.00114
4 3 0.99982 -0.01873 -0.00022 0.00213
5 4 0.99967 -0.02540 -0.00149 0.00325
6 5 0.99949 -0.03134 -0.00312 0.00434
7 6 0.99931 -0.03631 -0.00509 0.00540
8 7 0.99915 -0.04014 -0.00740 0.00638
9 8 0.99900 -0.04303 -0.01016 0.00736
10 9 0.99885 -0.04513 -0.01360 0.00832
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00494 -0.00206 -0.00098
3 2 0.99994 -0.00970 -0.00458 -0.00141
4 3 0.99987 -0.01431 -0.00776 -0.00193
5 4 0.99976 -0.01858 -0.01124 -0.00277
6 5 0.99963 -0.02249 -0.01487 -0.00396
7 6 0.99948 -0.02589 -0.01852 -0.00548
8 7 0.99932 -0.02853 -0.02203 -0.00729
9 8 0.99917 -0.03045 -0.02553 -0.00936
10 9 0.99900 -0.03193 -0.02921 -0.01161
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00017 -0.00074
3 2 0.99994 -0.01113 -0.00195 -0.00098
4 3 0.99984 -0.01690 -0.00495 -0.00120
5 4 0.99971 -0.02250 -0.00855 -0.00162
6 5 0.99955 -0.02749 -0.01218 -0.00226
7 6 0.99937 -0.03171 -0.01574 -0.00321
8 7 0.99921 -0.03463 -0.01907 -0.00460
9 8 0.99906 -0.03657 -0.02239 -0.00637
10 9 0.99890 -0.03799 -0.02599 -0.00851
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00372 0.00203 -0.00002
3 2 0.99997 -0.00703 0.00422 0.00034
4 3 0.99993 -0.01030 0.00611 0.00125
5 4 0.99988 -0.01367 0.00751 0.00249
6 5 0.99981 -0.01698 0.00839 0.00402
7 6 0.99974 -0.02019 0.00893 0.00593
8 7 0.99967 -0.02298 0.00863 0.00794
9 8 0.99960 -0.02526 0.00754 0.00998
10 9 0.99954 -0.02726 0.00590 0.01201
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00268 0.00201 0.00192
3 2 0.99996 -0.00599 0.00416 0.00427
4 3 0.99992 -0.00948 0.00570 0.00667
5 4 0.99985 -0.01298 0.00653 0.00903
6 5 0.99978 -0.01628 0.00655 0.01134
7 6 0.99971 -0.01907 0.00555 0.01355
8 7 0.99964 -0.02133 0.00358 0.01568
9 8 0.99958 -0.02304 0.00073 0.01778
10 9 0.99950 -0.02438 -0.00290 0.01985
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00660 -0.00025 0.00077
3 2 0.99990 -0.01415 -0.00177 0.00118
4 3 0.99973 -0.02258 -0.00460 0.00126
5 4 0.99950 -0.03063 -0.00822 0.00076
6 5 0.99921 -0.03769 -0.01225 -0.00035
7 6 0.99894 -0.04298 -0.01634 -0.00221
8 7 0.99871 -0.04634 -0.02008 -0.00479
9 8 0.99854 -0.04809 -0.02331 -0.00809
10 9 0.99840 -0.04885 -0.02588 -0.01184
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00770 0.00050 0.00029
3 2 0.99988 -0.01565 -0.00066 0.00080
4 3 0.99971 -0.02365 -0.00329 0.00096
5 4 0.99948 -0.03152 -0.00679 0.00061
6 5 0.99920 -0.03853 -0.01068 -0.00036
7 6 0.99892 -0.04411 -0.01461 -0.00205
8 7 0.99868 -0.04778 -0.01819 -0.00438
9 8 0.99851 -0.04972 -0.02131 -0.00718
10 9 0.99840 -0.05017 -0.02389 -0.01044
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00743 0.00259 -0.00012
3 2 0.99988 -0.01467 0.00423 -0.00004
4 3 0.99976 -0.02123 0.00456 0.00005
5 4 0.99965 -0.02633 0.00362 0.00003
6 5 0.99954 -0.03022 0.00138 -0.00020
7 6 0.99944 -0.03325 -0.00234 -0.00069
8 7 0.99932 -0.03613 -0.00726 -0.00137
9 8 0.99916 -0.03883 -0.01276 -0.00231
10 9 0.99898 -0.04125 -0.01816 -0.00357
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99996 -0.00766 0.00346 -0.00017
3 2 0.99987 -0.01511 0.00573 0.00019
4 3 0.99974 -0.02178 0.00640 0.00076
5 4 0.99961 -0.02750 0.00512 0.00144
6 5 0.99946 -0.03270 0.00207 0.00213
7 6 0.99930 -0.03729 -0.00237 0.00254
8 7 0.99912 -0.04127 -0.00761 0.00259
9 8 0.99893 -0.04432 -0.01296 0.00206
10 9 0.99877 -0.04643 -0.01740 0.00089
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00362 -0.00259 0.00018
3 2 0.99995 -0.00763 -0.00673 0.00050
4 3 0.99989 -0.01100 -0.01042 0.00009
5 4 0.99982 -0.01352 -0.01346 -0.00099
6 5 0.99976 -0.01504 -0.01575 -0.00278
7 6 0.99971 -0.01582 -0.01741 -0.00508
8 7 0.99966 -0.01619 -0.01868 -0.00774
9 8 0.99961 -0.01657 -0.01982 -0.01074
10 9 0.99953 -0.01739 -0.02103 -0.01387
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00359 -0.00178 0.00074
3 2 0.99996 -0.00776 -0.00434 0.00107
4 3 0.99990 -0.01160 -0.00752 0.00087
5 4 0.99983 -0.01474 -0.01087 0.00009
6 5 0.99976 -0.01698 -0.01408 -0.00131
7 6 0.99968 -0.01828 -0.01705 -0.00325
8 7 0.99961 -0.01892 -0.01978 -0.00555
9 8 0.99953 -0.01934 -0.02235 -0.00808
10 9 0.99943 -0.02001 -0.02485 -0.01075
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00455 -0.00186 0.00107
3 2 0.99995 -0.00871 -0.00487 0.00202
4 3 0.99988 -0.01221 -0.00872 0.00244
5 4 0.99980 -0.01487 -0.01299 0.00225
6 5 0.99971 -0.01651 -0.01724 0.00141
7 6 0.99962 -0.01722 -0.02130 -0.00004
8 7 0.99953 -0.01731 -0.02505 -0.00192
9 8 0.99944 -0.01717 -0.02841 -0.00403
10 9 0.99934 -0.01723 -0.03136 -0.00612
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00546 -0.00077 0.00127
3 2 0.99994 -0.01018 -0.00290 0.00243
4 3 0.99987 -0.01431 -0.00599 0.00319
5 4 0.99979 -0.01763 -0.00963 0.00349
6 5 0.99970 -0.01999 -0.01351 0.00326
7 6 0.99962 -0.02135 -0.01734 0.00246
8 7 0.99954 -0.02200 -0.02108 0.00114
9 8 0.99944 -0.02234 -0.02477 -0.00059
10 9 0.99933 -0.02280 -0.02850 -0.00254
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00430 0.00027 -0.00133
3 2 0.99996 -0.00829 -0.00005 -0.00280
4 3 0.99991 -0.01226 -0.00038 -0.00452
5 4 0.99985 -0.01603 -0.00067 -0.00646
6 5 0.99977 -0.01952 -0.00083 -0.00870
7 6 0.99968 -0.02262 -0.00087 -0.01125
8 7 0.99958 -0.02538 -0.00087 -0.01407
9 8 0.99946 -0.02796 -0.00085 -0.01707
10 9 0.99933 -0.03049 -0.00082 -0.02016
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00479 -0.00072 -0.00115
3 2 0.99995 -0.00922 -0.00157 -0.00254
4 3 0.99990 -0.01334 -0.00219 -0.00432
5 4 0.99983 -0.01701 -0.00261 -0.00636
6 5 0.99975 -0.02024 -0.00295 -0.00879
7 6 0.99966 -0.02295 -0.00325 -0.01155
8 7 0.99957 -0.02516 -0.00346 -0.01457
9 8 0.99946 -0.02734 -0.00359 -0.01790
10 9 0.99933 -0.02949 -0.00374 -0.02128
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00375 0.00135 0.00012
3 2 0.99997 -0.00762 0.00155 0.00052
4 3 0.99993 -0.01202 0.00050 0.00112
5 4 0.99986 -0.01666 -0.00136 0.00173
6 5 0.99976 -0.02142 -0.00385 0.00223
7 6 0.99964 -0.02600 -0.00680 0.00248
8 7 0.99948 -0.03042 -0.01020 0.00233
9 8 0.99931 -0.03448 -0.01401 0.00171
10 9 0.99911 -0.03812 -0.01803 0.00072
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00539 -0.00145 0.00035
3 2 0.99994 -0.01058 -0.00385 0.00098
4 3 0.99985 -0.01582 -0.00688 0.00132
5 4 0.99974 -0.02062 -0.01015 0.00118
6 5 0.99961 -0.02460 -0.01351 0.00058
7 6 0.99947 -0.02789 -0.01702 -0.00042
8 7 0.99931 -0.03082 -0.02088 -0.00176
9 8 0.99912 -0.03348 -0.02518 -0.00343
10 9 0.99890 -0.03597 -0.02971 -0.00526
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00068 -0.00068
3 2 0.99994 -0.01060 -0.00156 -0.00144
4 3 0.99987 -0.01544 -0.00230 -0.00261
5 4 0.99979 -0.01980 -0.00289 -0.00418
6 5 0.99969 -0.02380 -0.00327 -0.00628
7 6 0.99958 -0.02749 -0.00353 -0.00890
8 7 0.99944 -0.03099 -0.00371 -0.01185
9 8 0.99929 -0.03429 -0.00383 -0.01493
10 9 0.99912 -0.03760 -0.00390 -0.01810
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00488 -0.00124 -0.00039
3 2 0.99995 -0.01004 -0.00262 -0.00121
4 3 0.99988 -0.01505 -0.00365 -0.00249
5 4 0.99979 -0.01940 -0.00419 -0.00423
6 5 0.99970 -0.02310 -0.00448 -0.00641
7 6 0.99960 -0.02629 -0.00477 -0.00903
8 7 0.99950 -0.02894 -0.00505 -0.01188
9 8 0.99938 -0.03143 -0.00532 -0.01488
10 9 0.99924 -0.03420 -0.00568 -0.01802
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00424 0.00085 0.00012
3 2 0.99997 -0.00829 0.00048 0.00088
4 3 0.99992 -0.01267 -0.00097 0.00180
5 4 0.99984 -0.01735 -0.00330 0.00261
6 5 0.99973 -0.02202 -0.00623 0.00308
7 6 0.99960 -0.02657 -0.00961 0.00297
8 7 0.99944 -0.03079 -0.01322 0.00237
9 8 0.99925 -0.03474 -0.01717 0.00128
10 9 0.99903 -0.03840 -0.02148 -0.00032
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00460 0.00025 -0.00041
3 2 0.99996 -0.00854 -0.00008 0.00004
4 3 0.99992 -0.01269 -0.00146 0.00059
5 4 0.99984 -0.01717 -0.00379 0.00118
6 5 0.99974 -0.02178 -0.00686 0.00158
7 6 0.99960 -0.02633 -0.01050 0.00162
8 7 0.99943 -0.03054 -0.01447 0.00117
9 8 0.99923 -0.03443 -0.01881 0.00024
10 9 0.99900 -0.03803 -0.02349 -0.00114
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00076 -0.00245 -0.00075
3 2 0.99998 -0.00292 -0.00604 -0.00139
4 3 0.99993 -0.00595 -0.01002 -0.00198
5 4 0.99985 -0.00979 -0.01432 -0.00256
6 5 0.99971 -0.01456 -0.01894 -0.00315
7 6 0.99950 -0.02048 -0.02385 -0.00366
8 7 0.99921 -0.02708 -0.02866 -0.00422
9 8 0.99885 -0.03416 -0.03342 -0.00479
10 9 0.99840 -0.04155 -0.03808 -0.00538
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00336 -0.00371 0.00095
3 2 0.99995 -0.00684 -0.00744 0.00149
4 3 0.99988 -0.01035 -0.01095 0.00177
5 4 0.99980 -0.01410 -0.01423 0.00171
6 5 0.99970 -0.01722 -0.01710 0.00144
7 6 0.99962 -0.01959 -0.01959 0.00085
8 7 0.99952 -0.02159 -0.02210 0.00002
9 8 0.99942 -0.02324 -0.02485 -0.00101
10 9 0.99930 -0.02478 -0.02779 -0.00218
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00138 -0.00301 0.00256
3 2 0.99996 -0.00200 -0.00654 0.00486
4 3 0.99993 -0.00180 -0.01000 0.00649
5 4 0.99988 -0.00098 -0.01345 0.00773
6 5 0.99982 0.00037 -0.01676 0.00852
7 6 0.99976 0.00178 -0.01977 0.00879
8 7 0.99970 0.00290 -0.02278 0.00873
9 8 0.99962 0.00366 -0.02597 0.00850
10 9 0.99952 0.00393 -0.02943 0.00825
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00342 -0.00167 0.00187
3 2 0.99997 -0.00553 -0.00375 0.00407
4 3 0.99994 -0.00682 -0.00608 0.00627
5 4 0.99991 -0.00717 -0.00835 0.00820
6 5 0.99988 -0.00662 -0.01054 0.00967
7 6 0.99984 -0.00549 -0.01291 0.01076
8 7 0.99981 -0.00406 -0.01547 0.01134
9 8 0.99976 -0.00283 -0.01840 0.01141
10 9 0.99970 -0.00198 -0.02173 0.01116
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00188 -0.00288 0.00262
3 2 0.99996 -0.00395 -0.00634 0.00524
4 3 0.99991 -0.00536 -0.00963 0.00742
5 4 0.99987 -0.00606 -0.01234 0.00898
6 5 0.99983 -0.00605 -0.01440 0.00976
7 6 0.99980 -0.00559 -0.01627 0.00994
8 7 0.99978 -0.00496 -0.01821 0.00967
9 8 0.99974 -0.00440 -0.02057 0.00909
10 9 0.99968 -0.00414 -0.02351 0.00834
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00021 -0.00267 0.00205
3 2 0.99998 -0.00173 -0.00516 0.00396
4 3 0.99995 -0.00270 -0.00777 0.00546
5 4 0.99992 -0.00299 -0.01017 0.00644
6 5 0.99989 -0.00272 -0.01250 0.00691
7 6 0.99986 -0.00204 -0.01482 0.00687
8 7 0.99983 -0.00126 -0.01736 0.00652
9 8 0.99978 -0.00064 -0.02034 0.00596
10 9 0.99970 -0.00039 -0.02391 0.00536
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00156 -0.00087 0.00297
3 2 0.99998 -0.00244 -0.00204 0.00569
4 3 0.99996 -0.00282 -0.00362 0.00801
5 4 0.99993 -0.00257 -0.00546 0.00978
6 5 0.99991 -0.00185 -0.00749 0.01108
7 6 0.99988 -0.00094 -0.00982 0.01215
8 7 0.99984 -0.00002 -0.01254 0.01307
9 8 0.99978 0.00065 -0.01581 0.01395
10 9 0.99970 0.00100 -0.01961 0.01493
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00144 -0.00175 0.00200
3 2 0.99998 -0.00181 -0.00337 0.00394
4 3 0.99997 -0.00166 -0.00503 0.00557
5 4 0.99995 -0.00087 -0.00685 0.00675
6 5 0.99993 0.00034 -0.00907 0.00763
7 6 0.99989 0.00178 -0.01180 0.00836
8 7 0.99984 0.00328 -0.01511 0.00906
9 8 0.99976 0.00461 -0.01903 0.00982
10 9 0.99965 0.00550 -0.02345 0.01074
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00488 0.00358 0.00011
3 2 0.99993 -0.00957 0.00732 0.00000
4 3 0.99984 -0.01411 0.01074 -0.00051
5 4 0.99974 -0.01824 0.01390 -0.00140
6 5 0.99962 -0.02183 0.01687 -0.00265
7 6 0.99949 -0.02497 0.01960 -0.00437
8 7 0.99935 -0.02791 0.02203 -0.00656
9 8 0.99919 -0.03084 0.02413 -0.00921
10 9 0.99902 -0.03383 0.02590 -0.01230
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00238 0.00323 0.00005
3 2 0.99997 -0.00548 0.00623 -0.00066
4 3 0.99992 -0.00835 0.00909 -0.00191
5 4 0.99987 -0.01070 0.01162 -0.00369
6 5 0.99980 -0.01292 0.01387 -0.00594
7 6 0.99972 -0.01527 0.01589 -0.00867
8 7 0.99962 -0.01790 0.01742 -0.01181
9 8 0.99950 -0.02084 0.01847 -0.01513
10 9 0.99935 -0.02402 0.01918 -0.01862
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00443 0.00175 -0.00145
3 2 0.99995 -0.00879 0.00286 -0.00344
4 3 0.99990 -0.01291 0.00330 -0.00558
5 4 0.99983 -0.01643 0.00316 -0.00787
6 5 0.99976 -0.01912 0.00231 -0.01023
7 6 0.99969 -0.02154 0.00078 -0.01283
8 7 0.99960 -0.02366 -0.00132 -0.01546
9 8 0.99949 -0.02581 -0.00417 -0.01826
10 9 0.99935 -0.02816 -0.00787 -0.02130
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00473 0.00140 -0.00237
3 2 0.99994 -0.00949 0.00232 -0.00483
4 3 0.99988 -0.01378 0.00222 -0.00727
5 4 0.99980 -0.01743 0.00119 -0.00963
6 5 0.99971 -0.02060 -0.00088 -0.01206
7 6 0.99961 -0.02356 -0.00390 -0.01467
8 7 0.99947 -0.02631 -0.00777 -0.01749
9 8 0.99930 -0.02901 -0.01223 -0.02045
10 9 0.99908 -0.03168 -0.01717 -0.02345
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00405 0.00431 0.00153
3 2 0.99992 -0.00852 0.00864 0.00290
4 3 0.99983 -0.01267 0.01292 0.00357
5 4 0.99973 -0.01590 0.01678 0.00357
6 5 0.99962 -0.01837 0.02044 0.00303
7 6 0.99950 -0.02048 0.02390 0.00192
8 7 0.99938 -0.02253 0.02714 0.00018
9 8 0.99923 -0.02483 0.03016 -0.00220
10 9 0.99908 -0.02734 0.03280 -0.00506
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00425 0.00425 0.00062
3 2 0.99993 -0.00841 0.00794 0.00077
4 3 0.99986 -0.01235 0.01099 0.00034
5 4 0.99977 -0.01609 0.01385 -0.00062
6 5 0.99966 -0.01981 0.01652 -0.00214
7 6 0.99954 -0.02356 0.01889 -0.00410
8 7 0.99939 -0.02715 0.02092 -0.00643
9 8 0.99923 -0.03076 0.02264 -0.00917
10 9 0.99904 -0.03454 0.02410 -0.01238
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00209 0.00312 -0.00162
3 2 0.99997 -0.00548 0.00540 -0.00298
4 3 0.99993 -0.00902 0.00680 -0.00466
5 4 0.99988 -0.01234 0.00726 -0.00660
6 5 0.99982 -0.01538 0.00667 -0.00884
7 6 0.99975 -0.01827 0.00541 -0.01135
8 7 0.99967 -0.02122 0.00349 -0.01417
9 8 0.99955 -0.02436 0.00098 -0.01733
10 9 0.99941 -0.02752 -0.00190 -0.02053
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00515 0.00471 -0.00186
3 2 0.99991 -0.00983 0.00778 -0.00368
4 3 0.99984 -0.01382 0.00952 -0.00554
5 4 0.99977 -0.01717 0.01003 -0.00748
6 5 0.99971 -0.02004 0.00931 -0.00960
7 6 0.99965 -0.02260 0.00738 -0.01195
8 7 0.99957 -0.02503 0.00441 -0.01451
9 8 0.99947 -0.02759 0.00050 -0.01734
10 9 0.99932 -0.03034 -0.00411 -0.02033
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00235 0.00084 -0.00171
3 2 0.99998 -0.00510 0.00095 -0.00359
4 3 0.99995 -0.00785 0.00005 -0.00560
5 4 0.99991 -0.01042 -0.00192 -0.00780
6 5 0.99986 -0.01270 -0.00483 -0.01015
7 6 0.99977 -0.01488 -0.00831 -0.01274
8 7 0.99966 -0.01707 -0.01211 -0.01564
9 8 0.99951 -0.01938 -0.01608 -0.01867
10 9 0.99931 -0.02210 -0.02023 -0.02183
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00533 -0.00027 -0.00156
3 2 0.99995 -0.00966 -0.00140 -0.00320
4 3 0.99990 -0.01304 -0.00301 -0.00498
5 4 0.99984 -0.01561 -0.00493 -0.00690
6 5 0.99978 -0.01767 -0.00715 -0.00898
7 6 0.99970 -0.01961 -0.00970 -0.01124
8 7 0.99960 -0.02151 -0.01247 -0.01360
9 8 0.99947 -0.02369 -0.01561 -0.01595
10 9 0.99929 -0.02653 -0.01923 -0.01841
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00707 0.00004 -0.00247
3 2 0.99990 -0.01371 -0.00041 -0.00458
4 3 0.99979 -0.01955 -0.00139 -0.00629
5 4 0.99967 -0.02430 -0.00285 -0.00774
6 5 0.99955 -0.02813 -0.00484 -0.00902
7 6 0.99943 -0.03123 -0.00727 -0.01013
8 7 0.99932 -0.03373 -0.01021 -0.01109
9 8 0.99918 -0.03600 -0.01385 -0.01194
10 9 0.99902 -0.03834 -0.01822 -0.01267
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00695 -0.00014 -0.00269
3 2 0.99992 -0.01208 -0.00063 -0.00454
4 3 0.99985 -0.01588 -0.00148 -0.00599
5 4 0.99980 -0.01870 -0.00287 -0.00720
6 5 0.99973 -0.02115 -0.00486 -0.00827
7 6 0.99965 -0.02347 -0.00765 -0.00911
8 7 0.99956 -0.02579 -0.01108 -0.00972
9 8 0.99944 -0.02819 -0.01509 -0.01006
10 9 0.99929 -0.03074 -0.01952 -0.01014
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00476 0.00215 -0.00171
3 2 0.99994 -0.00960 0.00361 -0.00354
4 3 0.99988 -0.01383 0.00434 -0.00547
5 4 0.99981 -0.01732 0.00438 -0.00750
6 5 0.99974 -0.02006 0.00385 -0.00975
7 6 0.99968 -0.02223 0.00288 -0.01213
8 7 0.99960 -0.02415 0.00154 -0.01460
9 8 0.99952 -0.02588 -0.00022 -0.01710
10 9 0.99943 -0.02754 -0.00240 -0.01960
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00419 0.00323 -0.00229
3 2 0.99993 -0.00931 0.00604 -0.00459
4 3 0.99985 -0.01402 0.00800 -0.00669
5 4 0.99975 -0.01841 0.00902 -0.00878
6 5 0.99965 -0.02210 0.00936 -0.01090
7 6 0.99955 -0.02509 0.00929 -0.01321
8 7 0.99947 -0.02729 0.00871 -0.01577
9 8 0.99938 -0.02885 0.00770 -0.01842
10 9 0.99930 -0.03014 0.00632 -0.02131
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00573 0.00143 -0.00189
3 2 0.99991 -0.01206 0.00264 -0.00420
4 3 0.99983 -0.01723 0.00271 -0.00639
5 4 0.99974 -0.02121 0.00206 -0.00856
6 5 0.99965 -0.02408 0.00087 -0.01070
7 6 0.99957 -0.02637 -0.00081 -0.01282
8 7 0.99948 -0.02838 -0.00308 -0.01489
9 8 0.99939 -0.03007 -0.00597 -0.01679
10 9 0.99929 -0.03162 -0.00930 -0.01846
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00462 0.00241 -0.00275
3 2 0.99994 -0.00897 0.00467 -0.00514
4 3 0.99988 -0.01266 0.00583 -0.00719
5 4 0.99982 -0.01565 0.00599 -0.00898
6 5 0.99977 -0.01798 0.00544 -0.01055
7 6 0.99972 -0.01979 0.00434 -0.01192
8 7 0.99969 -0.02096 0.00261 -0.01314
9 8 0.99966 -0.02165 0.00047 -0.01426
10 9 0.99963 -0.02223 -0.00199 -0.01532
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00720 0.00242 -0.00153
3 2 0.99987 -0.01510 0.00372 -0.00326
4 3 0.99975 -0.02176 0.00342 -0.00494
5 4 0.99962 -0.02674 0.00204 -0.00675
6 5 0.99949 -0.03053 -0.00017 -0.00893
7 6 0.99938 -0.03317 -0.00317 -0.01166
8 7 0.99925 -0.03517 -0.00677 -0.01487
9 8 0.99910 -0.03674 -0.01065 -0.01835
10 9 0.99893 -0.03794 -0.01466 -0.02180
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00659 0.00207 -0.00181
3 2 0.99991 -0.01247 0.00279 -0.00382
4 3 0.99981 -0.01825 0.00217 -0.00610
5 4 0.99969 -0.02331 0.00064 -0.00876
6 5 0.99957 -0.02701 -0.00142 -0.01154
7 6 0.99945 -0.02960 -0.00394 -0.01439
8 7 0.99932 -0.03177 -0.00704 -0.01750
9 8 0.99915 -0.03369 -0.01089 -0.02097
10 9 0.99895 -0.03549 -0.01532 -0.02452
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00663 0.00021 -0.00243
3 2 0.99988 -0.01471 0.00034 -0.00465
4 3 0.99972 -0.02272 0.00009 -0.00650
5 4 0.99953 -0.02972 -0.00061 -0.00802
6 5 0.99932 -0.03550 -0.00184 -0.00932
7 6 0.99914 -0.04005 -0.00367 -0.01046
8 7 0.99897 -0.04344 -0.00619 -0.01141
9 8 0.99882 -0.04607 -0.00966 -0.01220
10 9 0.99866 -0.04821 -0.01376 -0.01287
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00714 0.00038 -0.00254
3 2 0.99988 -0.01497 0.00045 -0.00502
4 3 0.99971 -0.02297 0.00032 -0.00712
5 4 0.99950 -0.03043 -0.00039 -0.00908
6 5 0.99927 -0.03663 -0.00193 -0.01098
7 6 0.99904 -0.04159 -0.00432 -0.01282
8 7 0.99884 -0.04535 -0.00733 -0.01440
9 8 0.99866 -0.04805 -0.01074 -0.01563
10 9 0.99848 -0.05034 -0.01466 -0.01669
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00528 0.00375 -0.00126
3 2 0.99991 -0.01144 0.00582 -0.00275
4 3 0.99982 -0.01721 0.00620 -0.00435
5 4 0.99973 -0.02200 0.00518 -0.00620
6 5 0.99963 -0.02573 0.00322 -0.00826
7 6 0.99953 -0.02882 0.00048 -0.01062
8 7 0.99942 -0.03126 -0.00302 -0.01335
9 8 0.99929 -0.03319 -0.00718 -0.01641
10 9 0.99913 -0.03493 -0.01160 -0.01962
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00512 0.00273 -0.00155
3 2 0.99992 -0.01133 0.00456 -0.00321
4 3 0.99984 -0.01681 0.00467 -0.00494
5 4 0.99973 -0.02194 0.00328 -0.00696
6 5 0.99962 -0.02613 0.00100 -0.00926
7 6 0.99950 -0.02918 -0.00188 -0.01179
8 7 0.99939 -0.03127 -0.00534 -0.01474
9 8 0.99925 -0.03292 -0.00948 -0.01816
10 9 0.99907 -0.03431 -0.01406 -0.02196
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00711 0.00274 -0.00228
3 2 0.99987 -0.01482 0.00461 -0.00373
4 3 0.99973 -0.02197 0.00598 -0.00478
5 4 0.99956 -0.02819 0.00676 -0.00565
6 5 0.99939 -0.03368 0.00666 -0.00653
7 6 0.99923 -0.03813 0.00532 -0.00749
8 7 0.99908 -0.04184 0.00279 -0.00863
9 8 0.99894 -0.04503 -0.00074 -0.00980
10 9 0.99880 -0.04758 -0.00477 -0.01069
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00651 0.00286 -0.00281
3 2 0.99988 -0.01414 0.00436 -0.00499
4 3 0.99973 -0.02183 0.00545 -0.00659
5 4 0.99953 -0.02891 0.00602 -0.00790
6 5 0.99933 -0.03506 0.00587 -0.00911
7 6 0.99914 -0.03996 0.00463 -0.01022
8 7 0.99898 -0.04372 0.00213 -0.01118
9 8 0.99884 -0.04661 -0.00128 -0.01193
10 9 0.99870 -0.04901 -0.00553 -0.01258
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00302 0.00113 -0.00151
3 2 0.99997 -0.00638 0.00220 -0.00322
4 3 0.99994 -0.00937 0.00311 -0.00477
5 4 0.99989 -0.01261 0.00416 -0.00637
6 5 0.99983 -0.01563 0.00505 -0.00809
7 6 0.99976 -0.01847 0.00560 -0.00990
8 7 0.99968 -0.02155 0.00614 -0.01176
9 8 0.99959 -0.02433 0.00655 -0.01374
10 9 0.99948 -0.02745 0.00703 -0.01567
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00329 0.00247 -0.00075
3 2 0.99997 -0.00667 0.00428 -0.00166
4 3 0.99993 -0.00956 0.00557 -0.00278
5 4 0.99990 -0.01174 0.00653 -0.00410
6 5 0.99987 -0.01355 0.00714 -0.00570
7 6 0.99983 -0.01523 0.00738 -0.00764
8 7 0.99978 -0.01690 0.00728 -0.00988
9 8 0.99973 -0.01842 0.00677 -0.01232
10 9 0.99967 -0.02005 0.00599 -0.01495
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00610 0.00042 -0.00038
3 2 0.99994 -0.01134 0.00032 -0.00076
4 3 0.99988 -0.01519 -0.00078 -0.00120
5 4 0.99984 -0.01766 -0.00248 -0.00191
6 5 0.99980 -0.01908 -0.00482 -0.00304
7 6 0.99976 -0.02000 -0.00807 -0.00449
8 7 0.99969 -0.02071 -0.01211 -0.00625
9 8 0.99960 -0.02125 -0.01668 -0.00821
10 9 0.99949 -0.02144 -0.02143 -0.01013
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00277 -0.00053 -0.00115
3 2 0.99998 -0.00556 -0.00132 -0.00200
4 3 0.99996 -0.00750 -0.00291 -0.00307
5 4 0.99994 -0.00866 -0.00505 -0.00436
6 5 0.99991 -0.00937 -0.00795 -0.00584
7 6 0.99986 -0.00978 -0.01127 -0.00743
8 7 0.99979 -0.01002 -0.01528 -0.00917
9 8 0.99969 -0.01031 -0.01992 -0.01086
10 9 0.99956 -0.01066 -0.02488 -0.01241
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00279 0.00336 -0.00123
3 2 0.99996 -0.00597 0.00543 -0.00260
4 3 0.99993 -0.00920 0.00668 -0.00432
5 4 0.99988 -0.01221 0.00746 -0.00640
6 5 0.99982 -0.01495 0.00809 -0.00878
7 6 0.99975 -0.01729 0.00865 -0.01145
8 7 0.99966 -0.01950 0.00910 -0.01446
9 8 0.99956 -0.02175 0.00938 -0.01770
10 9 0.99944 -0.02412 0.00955 -0.02119
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00416 0.00339 -0.00072
3 2 0.99995 -0.00789 0.00617 -0.00193
4 3 0.99990 -0.01085 0.00802 -0.00350
5 4 0.99985 -0.01332 0.00924 -0.00550
6 5 0.99980 -0.01560 0.00991 -0.00788
7 6 0.99973 -0.01788 0.01027 -0.01052
8 7 0.99965 -0.02027 0.01034 -0.01340
9 8 0.99955 -0.02281 0.01017 -0.01643
10 9 0.99943 -0.02556 0.00979 -0.01956
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00638 0.00002 -0.00025
3 2 0.99994 -0.01132 -0.00043 -0.00098
4 3 0.99988 -0.01541 -0.00199 -0.00194
5 4 0.99981 -0.01862 -0.00430 -0.00315
6 5 0.99974 -0.02107 -0.00710 -0.00464
7 6 0.99966 -0.02300 -0.01043 -0.00643
8 7 0.99956 -0.02460 -0.01408 -0.00832
9 8 0.99944 -0.02608 -0.01809 -0.01027
10 9 0.99929 -0.02759 -0.02243 -0.01224
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00584 0.00114 0.00003
3 2 0.99994 -0.01095 0.00083 -0.00055
4 3 0.99989 -0.01505 -0.00086 -0.00150
5 4 0.99983 -0.01812 -0.00335 -0.00284
6 5 0.99976 -0.02027 -0.00631 -0.00465
7 6 0.99969 -0.02192 -0.00976 -0.00685
8 7 0.99959 -0.02319 -0.01365 -0.00928
9 8 0.99948 -0.02417 -0.01773 -0.01168
10 9 0.99935 -0.02493 -0.02203 -0.01396
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
Code
reorient(vespa64$igp, disable_normalization = TRUE)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00562 -0.00244 0.00021
3 2 0.99992 -0.01124 -0.00530 0.00027
4 3 0.99982 -0.01701 -0.00867 0.00000
5 4 0.99967 -0.02269 -0.01233 -0.00054
6 5 0.99949 -0.02776 -0.01603 -0.00139
7 6 0.99931 -0.03155 -0.01949 -0.00256
8 7 0.99914 -0.03440 -0.02296 -0.00404
9 8 0.99896 -0.03658 -0.02667 -0.00584
10 9 0.99877 -0.03826 -0.03062 -0.00789
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00564 0.00059 -0.00011
3 2 0.99993 -0.01218 0.00035 0.00061
4 3 0.99981 -0.01962 -0.00058 0.00158
5 4 0.99964 -0.02664 -0.00187 0.00273
6 5 0.99945 -0.03276 -0.00353 0.00379
7 6 0.99925 -0.03799 -0.00553 0.00484
8 7 0.99906 -0.04220 -0.00794 0.00589
9 8 0.99888 -0.04556 -0.01082 0.00691
10 9 0.99870 -0.04827 -0.01423 0.00791
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00579 0.00081 0.00039
3 2 0.99993 -0.01201 0.00056 0.00114
4 3 0.99982 -0.01873 -0.00022 0.00213
5 4 0.99967 -0.02540 -0.00149 0.00325
6 5 0.99949 -0.03134 -0.00312 0.00434
7 6 0.99931 -0.03631 -0.00509 0.00540
8 7 0.99915 -0.04014 -0.00740 0.00638
9 8 0.99900 -0.04303 -0.01016 0.00736
10 9 0.99885 -0.04513 -0.01360 0.00832
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00494 -0.00206 -0.00098
3 2 0.99994 -0.00970 -0.00458 -0.00141
4 3 0.99987 -0.01431 -0.00776 -0.00193
5 4 0.99976 -0.01858 -0.01124 -0.00277
6 5 0.99963 -0.02249 -0.01487 -0.00396
7 6 0.99948 -0.02589 -0.01852 -0.00548
8 7 0.99932 -0.02853 -0.02203 -0.00729
9 8 0.99917 -0.03045 -0.02553 -0.00936
10 9 0.99900 -0.03193 -0.02921 -0.01161
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00017 -0.00074
3 2 0.99994 -0.01113 -0.00195 -0.00098
4 3 0.99984 -0.01690 -0.00495 -0.00120
5 4 0.99971 -0.02250 -0.00855 -0.00162
6 5 0.99955 -0.02749 -0.01218 -0.00226
7 6 0.99937 -0.03171 -0.01574 -0.00321
8 7 0.99921 -0.03463 -0.01907 -0.00460
9 8 0.99906 -0.03657 -0.02239 -0.00637
10 9 0.99890 -0.03799 -0.02599 -0.00851
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00372 0.00203 -0.00002
3 2 0.99997 -0.00703 0.00422 0.00034
4 3 0.99993 -0.01030 0.00611 0.00125
5 4 0.99988 -0.01367 0.00751 0.00249
6 5 0.99981 -0.01698 0.00839 0.00402
7 6 0.99974 -0.02019 0.00893 0.00593
8 7 0.99967 -0.02298 0.00863 0.00794
9 8 0.99960 -0.02526 0.00754 0.00998
10 9 0.99954 -0.02726 0.00590 0.01201
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00268 0.00201 0.00192
3 2 0.99996 -0.00599 0.00416 0.00427
4 3 0.99992 -0.00948 0.00570 0.00667
5 4 0.99985 -0.01298 0.00653 0.00903
6 5 0.99978 -0.01628 0.00655 0.01134
7 6 0.99971 -0.01907 0.00555 0.01355
8 7 0.99964 -0.02133 0.00358 0.01568
9 8 0.99958 -0.02304 0.00073 0.01778
10 9 0.99950 -0.02438 -0.00290 0.01985
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00660 -0.00025 0.00077
3 2 0.99990 -0.01415 -0.00177 0.00118
4 3 0.99973 -0.02258 -0.00460 0.00126
5 4 0.99950 -0.03063 -0.00822 0.00076
6 5 0.99921 -0.03769 -0.01225 -0.00035
7 6 0.99894 -0.04298 -0.01634 -0.00221
8 7 0.99871 -0.04634 -0.02008 -0.00479
9 8 0.99854 -0.04809 -0.02331 -0.00809
10 9 0.99840 -0.04885 -0.02588 -0.01184
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00770 0.00050 0.00029
3 2 0.99988 -0.01565 -0.00066 0.00080
4 3 0.99971 -0.02365 -0.00329 0.00096
5 4 0.99948 -0.03152 -0.00679 0.00061
6 5 0.99920 -0.03853 -0.01068 -0.00036
7 6 0.99892 -0.04411 -0.01461 -0.00205
8 7 0.99868 -0.04778 -0.01819 -0.00438
9 8 0.99851 -0.04972 -0.02131 -0.00718
10 9 0.99840 -0.05017 -0.02389 -0.01044
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00743 0.00259 -0.00012
3 2 0.99988 -0.01467 0.00423 -0.00004
4 3 0.99976 -0.02123 0.00456 0.00005
5 4 0.99965 -0.02633 0.00362 0.00003
6 5 0.99954 -0.03022 0.00138 -0.00020
7 6 0.99944 -0.03325 -0.00234 -0.00069
8 7 0.99932 -0.03613 -0.00726 -0.00137
9 8 0.99916 -0.03883 -0.01276 -0.00231
10 9 0.99898 -0.04125 -0.01816 -0.00357
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99996 -0.00766 0.00346 -0.00017
3 2 0.99987 -0.01511 0.00573 0.00019
4 3 0.99974 -0.02178 0.00640 0.00076
5 4 0.99961 -0.02750 0.00512 0.00144
6 5 0.99946 -0.03270 0.00207 0.00213
7 6 0.99930 -0.03729 -0.00237 0.00254
8 7 0.99912 -0.04127 -0.00761 0.00259
9 8 0.99893 -0.04432 -0.01296 0.00206
10 9 0.99877 -0.04643 -0.01740 0.00089
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00362 -0.00259 0.00018
3 2 0.99995 -0.00763 -0.00673 0.00050
4 3 0.99989 -0.01100 -0.01042 0.00009
5 4 0.99982 -0.01352 -0.01346 -0.00099
6 5 0.99976 -0.01504 -0.01575 -0.00278
7 6 0.99971 -0.01582 -0.01741 -0.00508
8 7 0.99966 -0.01619 -0.01868 -0.00774
9 8 0.99961 -0.01657 -0.01982 -0.01074
10 9 0.99953 -0.01739 -0.02103 -0.01387
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00359 -0.00178 0.00074
3 2 0.99996 -0.00776 -0.00434 0.00107
4 3 0.99990 -0.01160 -0.00752 0.00087
5 4 0.99983 -0.01474 -0.01087 0.00009
6 5 0.99976 -0.01698 -0.01408 -0.00131
7 6 0.99968 -0.01828 -0.01705 -0.00325
8 7 0.99961 -0.01892 -0.01978 -0.00555
9 8 0.99953 -0.01934 -0.02235 -0.00808
10 9 0.99943 -0.02001 -0.02485 -0.01075
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00455 -0.00186 0.00107
3 2 0.99995 -0.00871 -0.00487 0.00202
4 3 0.99988 -0.01221 -0.00872 0.00244
5 4 0.99980 -0.01487 -0.01299 0.00225
6 5 0.99971 -0.01651 -0.01724 0.00141
7 6 0.99962 -0.01722 -0.02130 -0.00004
8 7 0.99953 -0.01731 -0.02505 -0.00192
9 8 0.99944 -0.01717 -0.02841 -0.00403
10 9 0.99934 -0.01723 -0.03136 -0.00612
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00546 -0.00077 0.00127
3 2 0.99994 -0.01018 -0.00290 0.00243
4 3 0.99987 -0.01431 -0.00599 0.00319
5 4 0.99979 -0.01763 -0.00963 0.00349
6 5 0.99970 -0.01999 -0.01351 0.00326
7 6 0.99962 -0.02135 -0.01734 0.00246
8 7 0.99954 -0.02200 -0.02108 0.00114
9 8 0.99944 -0.02234 -0.02477 -0.00059
10 9 0.99933 -0.02280 -0.02850 -0.00254
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00430 0.00027 -0.00133
3 2 0.99996 -0.00829 -0.00005 -0.00280
4 3 0.99991 -0.01226 -0.00038 -0.00452
5 4 0.99985 -0.01603 -0.00067 -0.00646
6 5 0.99977 -0.01952 -0.00083 -0.00870
7 6 0.99968 -0.02262 -0.00087 -0.01125
8 7 0.99958 -0.02538 -0.00087 -0.01407
9 8 0.99946 -0.02796 -0.00085 -0.01707
10 9 0.99933 -0.03049 -0.00082 -0.02016
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00479 -0.00072 -0.00115
3 2 0.99995 -0.00922 -0.00157 -0.00254
4 3 0.99990 -0.01334 -0.00219 -0.00432
5 4 0.99983 -0.01701 -0.00261 -0.00636
6 5 0.99975 -0.02024 -0.00295 -0.00879
7 6 0.99966 -0.02295 -0.00325 -0.01155
8 7 0.99957 -0.02516 -0.00346 -0.01457
9 8 0.99946 -0.02734 -0.00359 -0.01790
10 9 0.99933 -0.02949 -0.00374 -0.02128
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00375 0.00135 0.00012
3 2 0.99997 -0.00762 0.00155 0.00052
4 3 0.99993 -0.01202 0.00050 0.00112
5 4 0.99986 -0.01666 -0.00136 0.00173
6 5 0.99976 -0.02142 -0.00385 0.00223
7 6 0.99964 -0.02600 -0.00680 0.00248
8 7 0.99948 -0.03042 -0.01020 0.00233
9 8 0.99931 -0.03448 -0.01401 0.00171
10 9 0.99911 -0.03812 -0.01803 0.00072
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00539 -0.00145 0.00035
3 2 0.99994 -0.01058 -0.00385 0.00098
4 3 0.99985 -0.01582 -0.00688 0.00132
5 4 0.99974 -0.02062 -0.01015 0.00118
6 5 0.99961 -0.02460 -0.01351 0.00058
7 6 0.99947 -0.02789 -0.01702 -0.00042
8 7 0.99931 -0.03082 -0.02088 -0.00176
9 8 0.99912 -0.03348 -0.02518 -0.00343
10 9 0.99890 -0.03597 -0.02971 -0.00526
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00068 -0.00068
3 2 0.99994 -0.01060 -0.00156 -0.00144
4 3 0.99987 -0.01544 -0.00230 -0.00261
5 4 0.99979 -0.01980 -0.00289 -0.00418
6 5 0.99969 -0.02380 -0.00327 -0.00628
7 6 0.99958 -0.02749 -0.00353 -0.00890
8 7 0.99944 -0.03099 -0.00371 -0.01185
9 8 0.99929 -0.03429 -0.00383 -0.01493
10 9 0.99912 -0.03760 -0.00390 -0.01810
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00488 -0.00124 -0.00039
3 2 0.99995 -0.01004 -0.00262 -0.00121
4 3 0.99988 -0.01505 -0.00365 -0.00249
5 4 0.99979 -0.01940 -0.00419 -0.00423
6 5 0.99970 -0.02310 -0.00448 -0.00641
7 6 0.99960 -0.02629 -0.00477 -0.00903
8 7 0.99950 -0.02894 -0.00505 -0.01188
9 8 0.99938 -0.03143 -0.00532 -0.01488
10 9 0.99924 -0.03420 -0.00568 -0.01802
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00424 0.00085 0.00012
3 2 0.99997 -0.00829 0.00048 0.00088
4 3 0.99992 -0.01267 -0.00097 0.00180
5 4 0.99984 -0.01735 -0.00330 0.00261
6 5 0.99973 -0.02202 -0.00623 0.00308
7 6 0.99960 -0.02657 -0.00961 0.00297
8 7 0.99944 -0.03079 -0.01322 0.00237
9 8 0.99925 -0.03474 -0.01717 0.00128
10 9 0.99903 -0.03840 -0.02148 -0.00032
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00460 0.00025 -0.00041
3 2 0.99996 -0.00854 -0.00008 0.00004
4 3 0.99992 -0.01269 -0.00146 0.00059
5 4 0.99984 -0.01717 -0.00379 0.00118
6 5 0.99974 -0.02178 -0.00686 0.00158
7 6 0.99960 -0.02633 -0.01050 0.00162
8 7 0.99943 -0.03054 -0.01447 0.00117
9 8 0.99923 -0.03443 -0.01881 0.00024
10 9 0.99900 -0.03803 -0.02349 -0.00114
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00076 -0.00245 -0.00075
3 2 0.99998 -0.00292 -0.00604 -0.00139
4 3 0.99993 -0.00595 -0.01002 -0.00198
5 4 0.99985 -0.00979 -0.01432 -0.00256
6 5 0.99971 -0.01456 -0.01894 -0.00315
7 6 0.99950 -0.02048 -0.02385 -0.00366
8 7 0.99921 -0.02708 -0.02866 -0.00422
9 8 0.99885 -0.03416 -0.03342 -0.00479
10 9 0.99840 -0.04155 -0.03808 -0.00538
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00336 -0.00371 0.00095
3 2 0.99995 -0.00684 -0.00744 0.00149
4 3 0.99988 -0.01035 -0.01095 0.00177
5 4 0.99980 -0.01410 -0.01423 0.00171
6 5 0.99970 -0.01722 -0.01710 0.00144
7 6 0.99962 -0.01959 -0.01959 0.00085
8 7 0.99952 -0.02159 -0.02210 0.00002
9 8 0.99942 -0.02324 -0.02485 -0.00101
10 9 0.99930 -0.02478 -0.02779 -0.00218
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00138 -0.00301 0.00256
3 2 0.99996 -0.00200 -0.00654 0.00486
4 3 0.99993 -0.00180 -0.01000 0.00649
5 4 0.99988 -0.00098 -0.01345 0.00773
6 5 0.99982 0.00037 -0.01676 0.00852
7 6 0.99976 0.00178 -0.01977 0.00879
8 7 0.99970 0.00290 -0.02278 0.00873
9 8 0.99962 0.00366 -0.02597 0.00850
10 9 0.99952 0.00393 -0.02943 0.00825
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00342 -0.00167 0.00187
3 2 0.99997 -0.00553 -0.00375 0.00407
4 3 0.99994 -0.00682 -0.00608 0.00627
5 4 0.99991 -0.00717 -0.00835 0.00820
6 5 0.99988 -0.00662 -0.01054 0.00967
7 6 0.99984 -0.00549 -0.01291 0.01076
8 7 0.99981 -0.00406 -0.01547 0.01134
9 8 0.99976 -0.00283 -0.01840 0.01141
10 9 0.99970 -0.00198 -0.02173 0.01116
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00188 -0.00288 0.00262
3 2 0.99996 -0.00395 -0.00634 0.00524
4 3 0.99991 -0.00536 -0.00963 0.00742
5 4 0.99987 -0.00606 -0.01234 0.00898
6 5 0.99983 -0.00605 -0.01440 0.00976
7 6 0.99980 -0.00559 -0.01627 0.00994
8 7 0.99978 -0.00496 -0.01821 0.00967
9 8 0.99974 -0.00440 -0.02057 0.00909
10 9 0.99968 -0.00414 -0.02351 0.00834
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00021 -0.00267 0.00205
3 2 0.99998 -0.00173 -0.00516 0.00396
4 3 0.99995 -0.00270 -0.00777 0.00546
5 4 0.99992 -0.00299 -0.01017 0.00644
6 5 0.99989 -0.00272 -0.01250 0.00691
7 6 0.99986 -0.00204 -0.01482 0.00687
8 7 0.99983 -0.00126 -0.01736 0.00652
9 8 0.99978 -0.00064 -0.02034 0.00596
10 9 0.99970 -0.00039 -0.02391 0.00536
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00156 -0.00087 0.00297
3 2 0.99998 -0.00244 -0.00204 0.00569
4 3 0.99996 -0.00282 -0.00362 0.00801
5 4 0.99993 -0.00257 -0.00546 0.00978
6 5 0.99991 -0.00185 -0.00749 0.01108
7 6 0.99988 -0.00094 -0.00982 0.01215
8 7 0.99984 -0.00002 -0.01254 0.01307
9 8 0.99978 0.00065 -0.01581 0.01395
10 9 0.99970 0.00100 -0.01961 0.01493
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00144 -0.00175 0.00200
3 2 0.99998 -0.00181 -0.00337 0.00394
4 3 0.99997 -0.00166 -0.00503 0.00557
5 4 0.99995 -0.00087 -0.00685 0.00675
6 5 0.99993 0.00034 -0.00907 0.00763
7 6 0.99989 0.00178 -0.01180 0.00836
8 7 0.99984 0.00328 -0.01511 0.00906
9 8 0.99976 0.00461 -0.01903 0.00982
10 9 0.99965 0.00550 -0.02345 0.01074
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00488 0.00358 0.00011
3 2 0.99993 -0.00957 0.00732 0.00000
4 3 0.99984 -0.01411 0.01074 -0.00051
5 4 0.99974 -0.01824 0.01390 -0.00140
6 5 0.99962 -0.02183 0.01687 -0.00265
7 6 0.99949 -0.02497 0.01960 -0.00437
8 7 0.99935 -0.02791 0.02203 -0.00656
9 8 0.99919 -0.03084 0.02413 -0.00921
10 9 0.99902 -0.03383 0.02590 -0.01230
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00238 0.00323 0.00005
3 2 0.99997 -0.00548 0.00623 -0.00066
4 3 0.99992 -0.00835 0.00909 -0.00191
5 4 0.99987 -0.01070 0.01162 -0.00369
6 5 0.99980 -0.01292 0.01387 -0.00594
7 6 0.99972 -0.01527 0.01589 -0.00867
8 7 0.99962 -0.01790 0.01742 -0.01181
9 8 0.99950 -0.02084 0.01847 -0.01513
10 9 0.99935 -0.02402 0.01918 -0.01862
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00443 0.00175 -0.00145
3 2 0.99995 -0.00879 0.00286 -0.00344
4 3 0.99990 -0.01291 0.00330 -0.00558
5 4 0.99983 -0.01643 0.00316 -0.00787
6 5 0.99976 -0.01912 0.00231 -0.01023
7 6 0.99969 -0.02154 0.00078 -0.01283
8 7 0.99960 -0.02366 -0.00132 -0.01546
9 8 0.99949 -0.02581 -0.00417 -0.01826
10 9 0.99935 -0.02816 -0.00787 -0.02130
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00473 0.00140 -0.00237
3 2 0.99994 -0.00949 0.00232 -0.00483
4 3 0.99988 -0.01378 0.00222 -0.00727
5 4 0.99980 -0.01743 0.00119 -0.00963
6 5 0.99971 -0.02060 -0.00088 -0.01206
7 6 0.99961 -0.02356 -0.00390 -0.01467
8 7 0.99947 -0.02631 -0.00777 -0.01749
9 8 0.99930 -0.02901 -0.01223 -0.02045
10 9 0.99908 -0.03168 -0.01717 -0.02345
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00405 0.00431 0.00153
3 2 0.99992 -0.00852 0.00864 0.00290
4 3 0.99983 -0.01267 0.01292 0.00357
5 4 0.99973 -0.01590 0.01678 0.00357
6 5 0.99962 -0.01837 0.02044 0.00303
7 6 0.99950 -0.02048 0.02390 0.00192
8 7 0.99938 -0.02253 0.02714 0.00018
9 8 0.99923 -0.02483 0.03016 -0.00220
10 9 0.99908 -0.02734 0.03280 -0.00506
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00425 0.00425 0.00062
3 2 0.99993 -0.00841 0.00794 0.00077
4 3 0.99986 -0.01235 0.01099 0.00034
5 4 0.99977 -0.01609 0.01385 -0.00062
6 5 0.99966 -0.01981 0.01652 -0.00214
7 6 0.99954 -0.02356 0.01889 -0.00410
8 7 0.99939 -0.02715 0.02092 -0.00643
9 8 0.99923 -0.03076 0.02264 -0.00917
10 9 0.99904 -0.03454 0.02410 -0.01238
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00209 0.00312 -0.00162
3 2 0.99997 -0.00548 0.00540 -0.00298
4 3 0.99993 -0.00902 0.00680 -0.00466
5 4 0.99988 -0.01234 0.00726 -0.00660
6 5 0.99982 -0.01538 0.00667 -0.00884
7 6 0.99975 -0.01827 0.00541 -0.01135
8 7 0.99967 -0.02122 0.00349 -0.01417
9 8 0.99955 -0.02436 0.00098 -0.01733
10 9 0.99941 -0.02752 -0.00190 -0.02053
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00515 0.00471 -0.00186
3 2 0.99991 -0.00983 0.00778 -0.00368
4 3 0.99984 -0.01382 0.00952 -0.00554
5 4 0.99977 -0.01717 0.01003 -0.00748
6 5 0.99971 -0.02004 0.00931 -0.00960
7 6 0.99965 -0.02260 0.00738 -0.01195
8 7 0.99957 -0.02503 0.00441 -0.01451
9 8 0.99947 -0.02759 0.00050 -0.01734
10 9 0.99932 -0.03034 -0.00411 -0.02033
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00235 0.00084 -0.00171
3 2 0.99998 -0.00510 0.00095 -0.00359
4 3 0.99995 -0.00785 0.00005 -0.00560
5 4 0.99991 -0.01042 -0.00192 -0.00780
6 5 0.99986 -0.01270 -0.00483 -0.01015
7 6 0.99977 -0.01488 -0.00831 -0.01274
8 7 0.99966 -0.01707 -0.01211 -0.01564
9 8 0.99951 -0.01938 -0.01608 -0.01867
10 9 0.99931 -0.02210 -0.02023 -0.02183
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00533 -0.00027 -0.00156
3 2 0.99995 -0.00966 -0.00140 -0.00320
4 3 0.99990 -0.01304 -0.00301 -0.00498
5 4 0.99984 -0.01561 -0.00493 -0.00690
6 5 0.99978 -0.01767 -0.00715 -0.00898
7 6 0.99970 -0.01961 -0.00970 -0.01124
8 7 0.99960 -0.02151 -0.01247 -0.01360
9 8 0.99947 -0.02369 -0.01561 -0.01595
10 9 0.99929 -0.02653 -0.01923 -0.01841
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00707 0.00004 -0.00247
3 2 0.99990 -0.01371 -0.00041 -0.00458
4 3 0.99979 -0.01955 -0.00139 -0.00629
5 4 0.99967 -0.02430 -0.00285 -0.00774
6 5 0.99955 -0.02813 -0.00484 -0.00902
7 6 0.99943 -0.03123 -0.00727 -0.01013
8 7 0.99932 -0.03373 -0.01021 -0.01109
9 8 0.99918 -0.03600 -0.01385 -0.01194
10 9 0.99902 -0.03834 -0.01822 -0.01267
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00695 -0.00014 -0.00269
3 2 0.99992 -0.01208 -0.00063 -0.00454
4 3 0.99985 -0.01588 -0.00148 -0.00599
5 4 0.99980 -0.01870 -0.00287 -0.00720
6 5 0.99973 -0.02115 -0.00486 -0.00827
7 6 0.99965 -0.02347 -0.00765 -0.00911
8 7 0.99956 -0.02579 -0.01108 -0.00972
9 8 0.99944 -0.02819 -0.01509 -0.01006
10 9 0.99929 -0.03074 -0.01952 -0.01014
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00476 0.00215 -0.00171
3 2 0.99994 -0.00960 0.00361 -0.00354
4 3 0.99988 -0.01383 0.00434 -0.00547
5 4 0.99981 -0.01732 0.00438 -0.00750
6 5 0.99974 -0.02006 0.00385 -0.00975
7 6 0.99968 -0.02223 0.00288 -0.01213
8 7 0.99960 -0.02415 0.00154 -0.01460
9 8 0.99952 -0.02588 -0.00022 -0.01710
10 9 0.99943 -0.02754 -0.00240 -0.01960
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00419 0.00323 -0.00229
3 2 0.99993 -0.00931 0.00604 -0.00459
4 3 0.99985 -0.01402 0.00800 -0.00669
5 4 0.99975 -0.01841 0.00902 -0.00878
6 5 0.99965 -0.02210 0.00936 -0.01090
7 6 0.99955 -0.02509 0.00929 -0.01321
8 7 0.99947 -0.02729 0.00871 -0.01577
9 8 0.99938 -0.02885 0.00770 -0.01842
10 9 0.99930 -0.03014 0.00632 -0.02131
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00573 0.00143 -0.00189
3 2 0.99991 -0.01206 0.00264 -0.00420
4 3 0.99983 -0.01723 0.00271 -0.00639
5 4 0.99974 -0.02121 0.00206 -0.00856
6 5 0.99965 -0.02408 0.00087 -0.01070
7 6 0.99957 -0.02637 -0.00081 -0.01282
8 7 0.99948 -0.02838 -0.00308 -0.01489
9 8 0.99939 -0.03007 -0.00597 -0.01679
10 9 0.99929 -0.03162 -0.00930 -0.01846
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00462 0.00241 -0.00275
3 2 0.99994 -0.00897 0.00467 -0.00514
4 3 0.99988 -0.01266 0.00583 -0.00719
5 4 0.99982 -0.01565 0.00599 -0.00898
6 5 0.99977 -0.01798 0.00544 -0.01055
7 6 0.99972 -0.01979 0.00434 -0.01192
8 7 0.99969 -0.02096 0.00261 -0.01314
9 8 0.99966 -0.02165 0.00047 -0.01426
10 9 0.99963 -0.02223 -0.00199 -0.01532
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00720 0.00242 -0.00153
3 2 0.99987 -0.01510 0.00372 -0.00326
4 3 0.99975 -0.02176 0.00342 -0.00494
5 4 0.99962 -0.02674 0.00204 -0.00675
6 5 0.99949 -0.03053 -0.00017 -0.00893
7 6 0.99938 -0.03317 -0.00317 -0.01166
8 7 0.99925 -0.03517 -0.00677 -0.01487
9 8 0.99910 -0.03674 -0.01065 -0.01835
10 9 0.99893 -0.03794 -0.01466 -0.02180
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00659 0.00207 -0.00181
3 2 0.99991 -0.01247 0.00279 -0.00382
4 3 0.99981 -0.01825 0.00217 -0.00610
5 4 0.99969 -0.02331 0.00064 -0.00876
6 5 0.99957 -0.02701 -0.00142 -0.01154
7 6 0.99945 -0.02960 -0.00394 -0.01439
8 7 0.99932 -0.03177 -0.00704 -0.01750
9 8 0.99915 -0.03369 -0.01089 -0.02097
10 9 0.99895 -0.03549 -0.01532 -0.02452
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00663 0.00021 -0.00243
3 2 0.99988 -0.01471 0.00034 -0.00465
4 3 0.99972 -0.02272 0.00009 -0.00650
5 4 0.99953 -0.02972 -0.00061 -0.00802
6 5 0.99932 -0.03550 -0.00184 -0.00932
7 6 0.99914 -0.04005 -0.00367 -0.01046
8 7 0.99897 -0.04344 -0.00619 -0.01141
9 8 0.99882 -0.04607 -0.00966 -0.01220
10 9 0.99866 -0.04821 -0.01376 -0.01287
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00714 0.00038 -0.00254
3 2 0.99988 -0.01497 0.00045 -0.00502
4 3 0.99971 -0.02297 0.00032 -0.00712
5 4 0.99950 -0.03043 -0.00039 -0.00908
6 5 0.99927 -0.03663 -0.00193 -0.01098
7 6 0.99904 -0.04159 -0.00432 -0.01282
8 7 0.99884 -0.04535 -0.00733 -0.01440
9 8 0.99866 -0.04805 -0.01074 -0.01563
10 9 0.99848 -0.05034 -0.01466 -0.01669
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00528 0.00375 -0.00126
3 2 0.99991 -0.01144 0.00582 -0.00275
4 3 0.99982 -0.01721 0.00620 -0.00435
5 4 0.99973 -0.02200 0.00518 -0.00620
6 5 0.99963 -0.02573 0.00322 -0.00826
7 6 0.99953 -0.02882 0.00048 -0.01062
8 7 0.99942 -0.03126 -0.00302 -0.01335
9 8 0.99929 -0.03319 -0.00718 -0.01641
10 9 0.99913 -0.03493 -0.01160 -0.01962
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00512 0.00273 -0.00155
3 2 0.99992 -0.01133 0.00456 -0.00321
4 3 0.99984 -0.01681 0.00467 -0.00494
5 4 0.99973 -0.02194 0.00328 -0.00696
6 5 0.99962 -0.02613 0.00100 -0.00926
7 6 0.99950 -0.02918 -0.00188 -0.01179
8 7 0.99939 -0.03127 -0.00534 -0.01474
9 8 0.99925 -0.03292 -0.00948 -0.01816
10 9 0.99907 -0.03431 -0.01406 -0.02196
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00711 0.00274 -0.00228
3 2 0.99987 -0.01482 0.00461 -0.00373
4 3 0.99973 -0.02197 0.00598 -0.00478
5 4 0.99956 -0.02819 0.00676 -0.00565
6 5 0.99939 -0.03368 0.00666 -0.00653
7 6 0.99923 -0.03813 0.00532 -0.00749
8 7 0.99908 -0.04184 0.00279 -0.00863
9 8 0.99894 -0.04503 -0.00074 -0.00980
10 9 0.99880 -0.04758 -0.00477 -0.01069
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00651 0.00286 -0.00281
3 2 0.99988 -0.01414 0.00436 -0.00499
4 3 0.99973 -0.02183 0.00545 -0.00659
5 4 0.99953 -0.02891 0.00602 -0.00790
6 5 0.99933 -0.03506 0.00587 -0.00911
7 6 0.99914 -0.03996 0.00463 -0.01022
8 7 0.99898 -0.04372 0.00213 -0.01118
9 8 0.99884 -0.04661 -0.00128 -0.01193
10 9 0.99870 -0.04901 -0.00553 -0.01258
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00302 0.00113 -0.00151
3 2 0.99997 -0.00638 0.00220 -0.00322
4 3 0.99994 -0.00937 0.00311 -0.00477
5 4 0.99989 -0.01261 0.00416 -0.00637
6 5 0.99983 -0.01563 0.00505 -0.00809
7 6 0.99976 -0.01847 0.00560 -0.00990
8 7 0.99968 -0.02155 0.00614 -0.01176
9 8 0.99959 -0.02433 0.00655 -0.01374
10 9 0.99948 -0.02745 0.00703 -0.01567
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00329 0.00247 -0.00075
3 2 0.99997 -0.00667 0.00428 -0.00166
4 3 0.99993 -0.00956 0.00557 -0.00278
5 4 0.99990 -0.01174 0.00653 -0.00410
6 5 0.99987 -0.01355 0.00714 -0.00570
7 6 0.99983 -0.01523 0.00738 -0.00764
8 7 0.99978 -0.01690 0.00728 -0.00988
9 8 0.99973 -0.01842 0.00677 -0.01232
10 9 0.99967 -0.02005 0.00599 -0.01495
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00610 0.00042 -0.00038
3 2 0.99994 -0.01134 0.00032 -0.00076
4 3 0.99988 -0.01519 -0.00078 -0.00120
5 4 0.99984 -0.01766 -0.00248 -0.00191
6 5 0.99980 -0.01908 -0.00482 -0.00304
7 6 0.99976 -0.02000 -0.00807 -0.00449
8 7 0.99969 -0.02071 -0.01211 -0.00625
9 8 0.99960 -0.02125 -0.01668 -0.00821
10 9 0.99949 -0.02144 -0.02143 -0.01013
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00277 -0.00053 -0.00115
3 2 0.99998 -0.00556 -0.00132 -0.00200
4 3 0.99996 -0.00750 -0.00291 -0.00307
5 4 0.99994 -0.00866 -0.00505 -0.00436
6 5 0.99991 -0.00937 -0.00795 -0.00584
7 6 0.99986 -0.00978 -0.01127 -0.00743
8 7 0.99979 -0.01002 -0.01528 -0.00917
9 8 0.99969 -0.01031 -0.01992 -0.01086
10 9 0.99956 -0.01066 -0.02488 -0.01241
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00279 0.00336 -0.00123
3 2 0.99996 -0.00597 0.00543 -0.00260
4 3 0.99993 -0.00920 0.00668 -0.00432
5 4 0.99988 -0.01221 0.00746 -0.00640
6 5 0.99982 -0.01495 0.00809 -0.00878
7 6 0.99975 -0.01729 0.00865 -0.01145
8 7 0.99966 -0.01950 0.00910 -0.01446
9 8 0.99956 -0.02175 0.00938 -0.01770
10 9 0.99944 -0.02412 0.00955 -0.02119
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00416 0.00339 -0.00072
3 2 0.99995 -0.00789 0.00617 -0.00193
4 3 0.99990 -0.01085 0.00802 -0.00350
5 4 0.99985 -0.01332 0.00924 -0.00550
6 5 0.99980 -0.01560 0.00991 -0.00788
7 6 0.99973 -0.01788 0.01027 -0.01052
8 7 0.99965 -0.02027 0.01034 -0.01340
9 8 0.99955 -0.02281 0.01017 -0.01643
10 9 0.99943 -0.02556 0.00979 -0.01956
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00638 0.00002 -0.00025
3 2 0.99994 -0.01132 -0.00043 -0.00098
4 3 0.99988 -0.01541 -0.00199 -0.00194
5 4 0.99981 -0.01862 -0.00430 -0.00315
6 5 0.99974 -0.02107 -0.00710 -0.00464
7 6 0.99966 -0.02300 -0.01043 -0.00643
8 7 0.99956 -0.02460 -0.01408 -0.00832
9 8 0.99944 -0.02608 -0.01809 -0.01027
10 9 0.99929 -0.02759 -0.02243 -0.01224
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00584 0.00114 0.00003
3 2 0.99994 -0.01095 0.00083 -0.00055
4 3 0.99989 -0.01505 -0.00086 -0.00150
5 4 0.99983 -0.01812 -0.00335 -0.00284
6 5 0.99976 -0.02027 -0.00631 -0.00465
7 6 0.99969 -0.02192 -0.00976 -0.00685
8 7 0.99959 -0.02319 -0.01365 -0.00928
9 8 0.99948 -0.02417 -0.01773 -0.01168
10 9 0.99935 -0.02493 -0.02203 -0.01396
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function normalize() works
Code
normalize(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
normalize(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function resample() works
Code
resample(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
resample(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function smooth() works
Code
smooth(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99467 0.07637 0.06803 0.01301
2 1 0.99505 0.07302 0.06618 0.01268
3 2 0.99552 0.06888 0.06361 0.01213
4 3 0.99601 0.06453 0.06055 0.01130
5 4 0.99647 0.06045 0.05732 0.01020
6 5 0.99688 0.05684 0.05403 0.00884
7 6 0.99724 0.05380 0.05075 0.00724
8 7 0.99754 0.05128 0.04743 0.00539
9 8 0.99782 0.04912 0.04403 0.00333
10 9 0.99807 0.04709 0.04049 0.00111
# i 91 more rows
Code
smooth(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99467 0.07637 0.06803 0.01301
2 1 0.99505 0.07302 0.06618 0.01268
3 2 0.99552 0.06888 0.06361 0.01213
4 3 0.99601 0.06453 0.06055 0.01130
5 4 0.99647 0.06045 0.05732 0.01020
6 5 0.99688 0.05684 0.05403 0.00884
7 6 0.99724 0.05380 0.05075 0.00724
8 7 0.99754 0.05128 0.04743 0.00539
9 8 0.99782 0.04912 0.04403 0.00333
10 9 0.99807 0.04709 0.04049 0.00111
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99422 0.07916 0.07180 0.01004
2 1 0.99464 0.07550 0.06990 0.01015
3 2 0.99515 0.07096 0.06734 0.01014
4 3 0.99569 0.06603 0.06432 0.00992
5 4 0.99622 0.06112 0.06100 0.00942
6 5 0.99670 0.05662 0.05756 0.00859
7 6 0.99711 0.05279 0.05411 0.00743
8 7 0.99746 0.04965 0.05064 0.00594
9 8 0.99777 0.04709 0.04708 0.00414
10 9 0.99804 0.04496 0.04343 0.00210
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99303 0.09542 0.06275 -0.02921
2 1 0.99342 0.09136 0.06278 -0.02870
3 2 0.99394 0.08603 0.06247 -0.02784
4 3 0.99452 0.08000 0.06171 -0.02674
5 4 0.99510 0.07394 0.06054 -0.02554
6 5 0.99562 0.06830 0.05896 -0.02435
7 6 0.99610 0.06328 0.05697 -0.02322
8 7 0.99652 0.05898 0.05456 -0.02217
9 8 0.99690 0.05535 0.05172 -0.02122
10 9 0.99725 0.05227 0.04845 -0.02037
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99320 0.09273 0.06319 -0.03096
2 1 0.99358 0.08878 0.06330 -0.03028
3 2 0.99406 0.08371 0.06305 -0.02933
4 3 0.99460 0.07807 0.06237 -0.02821
5 4 0.99513 0.07235 0.06125 -0.02699
6 5 0.99563 0.06700 0.05971 -0.02580
7 6 0.99608 0.06230 0.05777 -0.02469
8 7 0.99647 0.05837 0.05540 -0.02369
9 8 0.99683 0.05517 0.05257 -0.02280
10 9 0.99716 0.05253 0.04923 -0.02201
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99451 0.07739 0.06860 0.01570
2 1 0.99487 0.07426 0.06693 0.01525
3 2 0.99531 0.07046 0.06462 0.01475
4 3 0.99577 0.06646 0.06179 0.01410
5 4 0.99623 0.06254 0.05862 0.01318
6 5 0.99666 0.05888 0.05526 0.01197
7 6 0.99705 0.05561 0.05182 0.01043
8 7 0.99739 0.05282 0.04837 0.00861
9 8 0.99770 0.05045 0.04490 0.00653
10 9 0.99797 0.04835 0.04132 0.00426
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99365 0.08438 0.07294 0.01466
2 1 0.99403 0.08071 0.07202 0.01449
3 2 0.99451 0.07619 0.07028 0.01432
4 3 0.99505 0.07129 0.06775 0.01406
5 4 0.99560 0.06642 0.06469 0.01360
6 5 0.99611 0.06191 0.06140 0.01287
7 6 0.99656 0.05801 0.05805 0.01181
8 7 0.99694 0.05488 0.05472 0.01037
9 8 0.99727 0.05242 0.05137 0.00855
10 9 0.99756 0.05043 0.04793 0.00640
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99558 0.07136 0.03750 -0.04826
2 1 0.99570 0.06910 0.03886 -0.04783
3 2 0.99586 0.06640 0.04048 -0.04710
4 3 0.99603 0.06349 0.04202 -0.04603
5 4 0.99623 0.06048 0.04324 -0.04465
6 5 0.99645 0.05748 0.04403 -0.04303
7 6 0.99667 0.05460 0.04433 -0.04119
8 7 0.99691 0.05194 0.04401 -0.03925
9 8 0.99715 0.04955 0.04306 -0.03727
10 9 0.99739 0.04736 0.04158 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99522 0.06723 0.04802 -0.05216
2 1 0.99536 0.06537 0.04918 -0.05057
3 2 0.99556 0.06288 0.05048 -0.04848
4 3 0.99580 0.06005 0.05152 -0.04616
5 4 0.99605 0.05711 0.05202 -0.04378
6 5 0.99632 0.05427 0.05182 -0.04144
7 6 0.99660 0.05167 0.05079 -0.03921
8 7 0.99689 0.04940 0.04892 -0.03708
9 8 0.99718 0.04745 0.04629 -0.03507
10 9 0.99748 0.04572 0.04301 -0.03313
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99460 0.07907 0.06291 0.02378
2 1 0.99501 0.07440 0.06190 0.02424
3 2 0.99555 0.06833 0.06011 0.02458
4 3 0.99614 0.06154 0.05752 0.02459
5 4 0.99673 0.05479 0.05433 0.02409
6 5 0.99726 0.04869 0.05084 0.02296
7 6 0.99770 0.04370 0.04735 0.02114
8 7 0.99805 0.03999 0.04412 0.01865
9 8 0.99832 0.03741 0.04137 0.01559
10 9 0.99852 0.03563 0.03918 0.01214
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99454 0.07652 0.06696 0.02334
2 1 0.99496 0.07145 0.06629 0.02375
3 2 0.99548 0.06514 0.06480 0.02416
4 3 0.99605 0.05834 0.06243 0.02428
5 4 0.99661 0.05162 0.05941 0.02393
6 5 0.99713 0.04550 0.05605 0.02301
7 6 0.99756 0.04041 0.05266 0.02144
8 7 0.99792 0.03660 0.04951 0.01926
9 8 0.99819 0.03404 0.04675 0.01657
10 9 0.99839 0.03248 0.04446 0.01348
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99412 0.08670 0.06301 0.01521
2 1 0.99445 0.08212 0.06392 0.01555
3 2 0.99484 0.07669 0.06452 0.01593
4 3 0.99525 0.07129 0.06433 0.01620
5 4 0.99565 0.06648 0.06316 0.01625
6 5 0.99606 0.06242 0.06093 0.01600
7 6 0.99647 0.05898 0.05766 0.01541
8 7 0.99689 0.05593 0.05357 0.01450
9 8 0.99729 0.05319 0.04906 0.01331
10 9 0.99765 0.05072 0.04458 0.01186
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99412 0.08622 0.06371 0.01521
2 1 0.99443 0.08146 0.06499 0.01573
3 2 0.99481 0.07576 0.06589 0.01644
4 3 0.99523 0.06999 0.06580 0.01721
5 4 0.99567 0.06459 0.06441 0.01788
6 5 0.99614 0.05966 0.06174 0.01835
7 6 0.99661 0.05528 0.05806 0.01847
8 7 0.99706 0.05150 0.05378 0.01815
9 8 0.99746 0.04839 0.04940 0.01735
10 9 0.99778 0.04590 0.04539 0.01606
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99598 0.04858 0.06908 0.02990
2 1 0.99623 0.04634 0.06696 0.02990
3 2 0.99655 0.04362 0.06405 0.02975
4 3 0.99687 0.04097 0.06106 0.02918
5 4 0.99715 0.03872 0.05834 0.02809
6 5 0.99739 0.03699 0.05609 0.02645
7 6 0.99759 0.03571 0.05428 0.02435
8 7 0.99776 0.03466 0.05279 0.02188
9 8 0.99793 0.03361 0.05146 0.01916
10 9 0.99809 0.03229 0.05012 0.01634
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99557 0.05496 0.07024 0.02965
2 1 0.99581 0.05261 0.06861 0.02991
3 2 0.99611 0.04966 0.06632 0.02998
4 3 0.99644 0.04666 0.06357 0.02967
5 4 0.99677 0.04396 0.06062 0.02887
6 5 0.99708 0.04178 0.05767 0.02754
7 6 0.99736 0.04013 0.05485 0.02575
8 7 0.99760 0.03888 0.05219 0.02358
9 8 0.99783 0.03775 0.04968 0.02118
10 9 0.99804 0.03645 0.04727 0.01864
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99598 0.04504 0.07674 0.01027
2 1 0.99623 0.04245 0.07491 0.01088
3 2 0.99654 0.03949 0.07222 0.01143
4 3 0.99688 0.03669 0.06888 0.01164
5 4 0.99722 0.03435 0.06516 0.01136
6 5 0.99753 0.03263 0.06133 0.01053
7 6 0.99780 0.03150 0.05760 0.00920
8 7 0.99803 0.03077 0.05409 0.00749
9 8 0.99823 0.03020 0.05086 0.00558
10 9 0.99841 0.02950 0.04792 0.00362
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99534 0.05642 0.07760 0.00917
2 1 0.99560 0.05334 0.07636 0.01001
3 2 0.99593 0.04983 0.07432 0.01086
4 3 0.99629 0.04645 0.07158 0.01146
5 4 0.99664 0.04352 0.06834 0.01164
6 5 0.99698 0.04120 0.06483 0.01134
7 6 0.99729 0.03951 0.06123 0.01052
8 7 0.99756 0.03828 0.05762 0.00925
9 8 0.99781 0.03727 0.05403 0.00763
10 9 0.99805 0.03619 0.05045 0.00582
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99650 0.06082 0.03536 0.04510
2 1 0.99671 0.05807 0.03529 0.04418
3 2 0.99696 0.05475 0.03508 0.04293
4 3 0.99722 0.05121 0.03482 0.04137
5 4 0.99748 0.04766 0.03459 0.03955
6 5 0.99772 0.04426 0.03443 0.03744
7 6 0.99795 0.04106 0.03436 0.03507
8 7 0.99816 0.03807 0.03436 0.03247
9 8 0.99835 0.03522 0.03439 0.02970
10 9 0.99852 0.03243 0.03445 0.02681
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99635 0.06001 0.03545 0.04936
2 1 0.99658 0.05706 0.03490 0.04848
3 2 0.99686 0.05355 0.03425 0.04723
4 3 0.99714 0.04993 0.03364 0.04562
5 4 0.99741 0.04645 0.03316 0.04368
6 5 0.99767 0.04325 0.03278 0.04141
7 6 0.99790 0.04036 0.03250 0.03882
8 7 0.99812 0.03774 0.03230 0.03598
9 8 0.99832 0.03522 0.03215 0.03293
10 9 0.99851 0.03270 0.03200 0.02978
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99447 0.08493 0.06130 0.00773
2 1 0.99468 0.08231 0.06146 0.00809
3 2 0.99497 0.07894 0.06112 0.00859
4 3 0.99533 0.07504 0.06006 0.00915
5 4 0.99574 0.07082 0.05831 0.00967
6 5 0.99617 0.06646 0.05597 0.01002
7 6 0.99660 0.06212 0.05314 0.01012
8 7 0.99702 0.05791 0.04991 0.00986
9 8 0.99743 0.05392 0.04636 0.00922
10 9 0.99780 0.05017 0.04261 0.00822
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99451 0.07631 0.07049 0.01220
2 1 0.99487 0.07292 0.06901 0.01254
3 2 0.99531 0.06879 0.06684 0.01291
4 3 0.99578 0.06440 0.06411 0.01308
5 4 0.99624 0.06013 0.06104 0.01291
6 5 0.99667 0.05623 0.05773 0.01235
7 6 0.99707 0.05274 0.05421 0.01139
8 7 0.99745 0.04956 0.05044 0.01009
9 8 0.99780 0.04659 0.04642 0.00850
10 9 0.99813 0.04371 0.04225 0.00674
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99545 0.07431 0.04154 0.04283
2 1 0.99574 0.07087 0.04096 0.04232
3 2 0.99609 0.06679 0.04025 0.04155
4 3 0.99644 0.06251 0.03957 0.04044
5 4 0.99678 0.05830 0.03900 0.03895
6 5 0.99709 0.05427 0.03857 0.03705
7 6 0.99739 0.05041 0.03829 0.03475
8 7 0.99766 0.04668 0.03812 0.03216
9 8 0.99792 0.04304 0.03802 0.02937
10 9 0.99815 0.03937 0.03795 0.02647
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99593 0.06752 0.04452 0.03978
2 1 0.99620 0.06432 0.04367 0.03933
3 2 0.99652 0.06032 0.04267 0.03854
4 3 0.99685 0.05609 0.04177 0.03738
5 4 0.99716 0.05202 0.04111 0.03582
6 5 0.99743 0.04828 0.04065 0.03387
7 6 0.99768 0.04487 0.04030 0.03156
8 7 0.99791 0.04175 0.04001 0.02899
9 8 0.99811 0.03872 0.03973 0.02624
10 9 0.99832 0.03560 0.03940 0.02339
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99421 0.08438 0.06484 0.01515
2 1 0.99445 0.08158 0.06464 0.01560
3 2 0.99477 0.07809 0.06386 0.01625
4 3 0.99515 0.07415 0.06234 0.01696
5 4 0.99558 0.06994 0.06014 0.01752
6 5 0.99604 0.06562 0.05737 0.01778
7 6 0.99649 0.06133 0.05418 0.01761
8 7 0.99693 0.05718 0.05066 0.01696
9 8 0.99736 0.05317 0.04687 0.01585
10 9 0.99776 0.04930 0.04286 0.01431
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99380 0.08338 0.07186 0.01597
2 1 0.99406 0.08050 0.07148 0.01616
3 2 0.99439 0.07703 0.07063 0.01657
4 3 0.99478 0.07319 0.06907 0.01704
5 4 0.99522 0.06909 0.06680 0.01746
6 5 0.99569 0.06486 0.06388 0.01767
7 6 0.99617 0.06064 0.06044 0.01756
8 7 0.99665 0.05658 0.05662 0.01703
9 8 0.99710 0.05270 0.05249 0.01607
10 9 0.99753 0.04903 0.04814 0.01472
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99700 0.06161 0.04618 0.00821
2 1 0.99717 0.06035 0.04408 0.00769
3 2 0.99743 0.05822 0.04108 0.00707
4 3 0.99775 0.05522 0.03747 0.00643
5 4 0.99810 0.05138 0.03341 0.00580
6 5 0.99848 0.04667 0.02903 0.00518
7 6 0.99885 0.04111 0.02442 0.00460
8 7 0.99919 0.03489 0.01977 0.00403
9 8 0.99948 0.02817 0.01515 0.00346
10 9 0.99972 0.02112 0.01065 0.00287
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99540 0.06556 0.06870 0.01278
2 1 0.99570 0.06337 0.06626 0.01318
3 2 0.99606 0.06061 0.06326 0.01352
4 3 0.99644 0.05757 0.06012 0.01369
5 4 0.99679 0.05447 0.05703 0.01364
6 5 0.99711 0.05160 0.05412 0.01335
7 6 0.99739 0.04907 0.05136 0.01280
8 7 0.99765 0.04682 0.04862 0.01200
9 8 0.99789 0.04471 0.04576 0.01100
10 9 0.99813 0.04255 0.04269 0.00982
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99748 0.02775 0.06213 -0.01992
2 1 0.99766 0.02733 0.05995 -0.01852
3 2 0.99785 0.02714 0.05710 -0.01698
4 3 0.99805 0.02735 0.05397 -0.01566
5 4 0.99821 0.02795 0.05071 -0.01466
6 5 0.99836 0.02883 0.04747 -0.01403
7 6 0.99848 0.02976 0.04429 -0.01374
8 7 0.99859 0.03053 0.04110 -0.01371
9 8 0.99871 0.03101 0.03782 -0.01382
10 9 0.99883 0.03110 0.03443 -0.01393
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99659 0.03846 0.06773 -0.02715
2 1 0.99677 0.03694 0.06643 -0.02580
3 2 0.99698 0.03556 0.06466 -0.02411
4 3 0.99719 0.03464 0.06258 -0.02238
5 4 0.99737 0.03432 0.06034 -0.02081
6 5 0.99753 0.03457 0.05798 -0.01958
7 6 0.99766 0.03524 0.05546 -0.01871
8 7 0.99779 0.03608 0.05274 -0.01825
9 8 0.99792 0.03684 0.04977 -0.01815
10 9 0.99805 0.03730 0.04653 -0.01829
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99667 0.03531 0.07321 -0.00668
2 1 0.99686 0.03431 0.07116 -0.00510
3 2 0.99709 0.03315 0.06853 -0.00328
4 3 0.99731 0.03220 0.06577 -0.00161
5 4 0.99750 0.03163 0.06317 -0.00034
6 5 0.99765 0.03146 0.06081 0.00041
7 6 0.99778 0.03157 0.05856 0.00066
8 7 0.99791 0.03178 0.05623 0.00050
9 8 0.99805 0.03191 0.05362 0.00004
10 9 0.99821 0.03178 0.05060 -0.00059
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99667 0.03305 0.07442 -0.00486
2 1 0.99681 0.03273 0.07266 -0.00372
3 2 0.99699 0.03212 0.07051 -0.00242
4 3 0.99717 0.03163 0.06816 -0.00128
5 4 0.99734 0.03143 0.06575 -0.00049
6 5 0.99750 0.03153 0.06329 -0.00009
7 6 0.99765 0.03185 0.06074 -0.00008
8 7 0.99780 0.03221 0.05795 -0.00036
9 8 0.99797 0.03242 0.05482 -0.00084
10 9 0.99816 0.03232 0.05125 -0.00140
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99708 0.02546 0.06380 -0.03332
2 1 0.99721 0.02489 0.06299 -0.03154
3 2 0.99735 0.02445 0.06181 -0.02951
4 3 0.99751 0.02429 0.06027 -0.02757
5 4 0.99766 0.02446 0.05841 -0.02592
6 5 0.99780 0.02491 0.05626 -0.02457
7 6 0.99795 0.02550 0.05377 -0.02345
8 7 0.99811 0.02607 0.05091 -0.02247
9 8 0.99828 0.02646 0.04762 -0.02154
10 9 0.99847 0.02658 0.04392 -0.02057
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02149 0.06334 -0.03032
2 1 0.99742 0.02108 0.06215 -0.02911
3 2 0.99755 0.02096 0.06063 -0.02772
4 3 0.99769 0.02120 0.05887 -0.02641
5 4 0.99782 0.02183 0.05683 -0.02531
6 5 0.99796 0.02275 0.05441 -0.02442
7 6 0.99811 0.02383 0.05154 -0.02366
8 7 0.99826 0.02491 0.04818 -0.02295
9 8 0.99844 0.02582 0.04434 -0.02220
10 9 0.99862 0.02639 0.04008 -0.02132
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99136 0.12123 0.01145 0.04882
2 1 0.99171 0.11804 0.01364 0.04900
3 2 0.99211 0.11417 0.01638 0.04908
4 3 0.99253 0.11009 0.01927 0.04889
5 4 0.99293 0.10612 0.02215 0.04834
6 5 0.99330 0.10240 0.02496 0.04741
7 6 0.99365 0.09893 0.02761 0.04603
8 7 0.99398 0.09561 0.03006 0.04420
9 8 0.99432 0.09233 0.03226 0.04191
10 9 0.99467 0.08897 0.03419 0.03921
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99296 0.10906 0.00956 0.04514
2 1 0.99315 0.10723 0.01151 0.04499
3 2 0.99340 0.10482 0.01386 0.04447
4 3 0.99367 0.10225 0.01634 0.04350
5 4 0.99395 0.09971 0.01875 0.04205
6 5 0.99424 0.09718 0.02100 0.04014
7 6 0.99454 0.09455 0.02302 0.03778
8 7 0.99486 0.09173 0.02472 0.03503
9 8 0.99520 0.08868 0.02609 0.03199
10 9 0.99556 0.08537 0.02716 0.02872
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99072 0.12069 0.04469 0.04369
2 1 0.99107 0.11783 0.04544 0.04272
3 2 0.99151 0.11438 0.04609 0.04129
4 3 0.99197 0.11083 0.04638 0.03952
5 4 0.99242 0.10753 0.04620 0.03745
6 5 0.99285 0.10461 0.04547 0.03513
7 6 0.99327 0.10198 0.04416 0.03255
8 7 0.99369 0.09955 0.04226 0.02975
9 8 0.99411 0.09718 0.03975 0.02672
10 9 0.99455 0.09475 0.03668 0.02347
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99064 0.11753 0.05309 0.04466
2 1 0.99104 0.11445 0.05359 0.04328
3 2 0.99152 0.11072 0.05386 0.04148
4 3 0.99204 0.10692 0.05355 0.03939
5 4 0.99257 0.10334 0.05250 0.03709
6 5 0.99309 0.10005 0.05064 0.03456
7 6 0.99362 0.09699 0.04800 0.03179
8 7 0.99415 0.09409 0.04466 0.02877
9 8 0.99466 0.09128 0.04076 0.02557
10 9 0.99516 0.08845 0.03646 0.02225
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99231 0.11602 0.00459 0.04286
2 1 0.99257 0.11325 0.00718 0.04394
3 2 0.99288 0.10981 0.01041 0.04509
4 3 0.99318 0.10628 0.01392 0.04592
5 4 0.99345 0.10305 0.01745 0.04628
6 5 0.99368 0.10019 0.02093 0.04612
7 6 0.99389 0.09760 0.02432 0.04539
8 7 0.99411 0.09508 0.02756 0.04408
9 8 0.99435 0.09250 0.03060 0.04222
10 9 0.99461 0.08976 0.03337 0.03987
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99264 0.11427 0.01209 0.03814
2 1 0.99292 0.11145 0.01446 0.03853
3 2 0.99325 0.10798 0.01721 0.03874
4 3 0.99360 0.10429 0.01998 0.03857
5 4 0.99395 0.10053 0.02267 0.03793
6 5 0.99431 0.09674 0.02523 0.03681
7 6 0.99466 0.09296 0.02760 0.03523
8 7 0.99502 0.08919 0.02975 0.03320
9 8 0.99537 0.08540 0.03167 0.03075
10 9 0.99572 0.08155 0.03339 0.02789
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99037 0.12669 0.02636 0.04923
2 1 0.99061 0.12478 0.02790 0.04838
3 2 0.99096 0.12210 0.02938 0.04727
4 3 0.99136 0.11906 0.03042 0.04583
5 4 0.99180 0.11595 0.03082 0.04402
6 5 0.99226 0.11290 0.03050 0.04184
7 6 0.99273 0.10990 0.02955 0.03930
8 7 0.99321 0.10688 0.02801 0.03643
9 8 0.99370 0.10379 0.02597 0.03328
10 9 0.99420 0.10062 0.02353 0.02996
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98946 0.13205 0.03712 0.04647
2 1 0.98983 0.12885 0.03929 0.04563
3 2 0.99028 0.12514 0.04131 0.04445
4 3 0.99074 0.12150 0.04264 0.04298
5 4 0.99121 0.11815 0.04307 0.04119
6 5 0.99167 0.11512 0.04251 0.03908
7 6 0.99215 0.11234 0.04096 0.03662
8 7 0.99264 0.10969 0.03849 0.03383
9 8 0.99316 0.10703 0.03522 0.03076
10 9 0.99368 0.10424 0.03134 0.02748
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99227 0.10873 0.04914 0.03410
2 1 0.99249 0.10701 0.04922 0.03294
3 2 0.99280 0.10479 0.04892 0.03137
4 3 0.99315 0.10237 0.04796 0.02946
5 4 0.99354 0.09994 0.04627 0.02723
6 5 0.99395 0.09758 0.04388 0.02471
7 6 0.99437 0.09525 0.04096 0.02191
8 7 0.99479 0.09286 0.03768 0.01885
9 8 0.99520 0.09034 0.03417 0.01561
10 9 0.99562 0.08757 0.03050 0.01223
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99196 0.11527 0.04664 0.02372
2 1 0.99235 0.11228 0.04610 0.02268
3 2 0.99279 0.10897 0.04514 0.02128
4 3 0.99322 0.10587 0.04378 0.01958
5 4 0.99362 0.10313 0.04210 0.01763
6 5 0.99399 0.10069 0.04010 0.01546
7 6 0.99435 0.09835 0.03781 0.01310
8 7 0.99471 0.09594 0.03523 0.01061
9 8 0.99509 0.09323 0.03234 0.00802
10 9 0.99550 0.08997 0.02914 0.00535
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98926 0.12688 0.07155 0.01241
2 1 0.98983 0.12254 0.07137 0.01127
3 2 0.99050 0.11745 0.07088 0.00995
4 3 0.99116 0.11241 0.06997 0.00863
5 4 0.99177 0.10786 0.06858 0.00735
6 5 0.99233 0.10391 0.06670 0.00611
7 6 0.99284 0.10054 0.06432 0.00492
8 7 0.99332 0.09761 0.06140 0.00378
9 8 0.99380 0.09491 0.05787 0.00270
10 9 0.99428 0.09225 0.05376 0.00173
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99015 0.11894 0.07294 0.01211
2 1 0.99062 0.11517 0.07269 0.01094
3 2 0.99113 0.11116 0.07216 0.00968
4 3 0.99161 0.10753 0.07123 0.00847
5 4 0.99206 0.10439 0.06981 0.00733
6 5 0.99249 0.10160 0.06781 0.00627
7 6 0.99294 0.09900 0.06517 0.00533
8 7 0.99340 0.09647 0.06192 0.00453
9 8 0.99388 0.09389 0.05812 0.00391
10 9 0.99437 0.09115 0.05384 0.00349
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99231 0.10966 0.04891 0.02998
2 1 0.99262 0.10660 0.04993 0.02903
3 2 0.99300 0.10292 0.05088 0.02773
4 3 0.99339 0.09925 0.05148 0.02615
5 4 0.99375 0.09591 0.05163 0.02432
6 5 0.99409 0.09301 0.05134 0.02225
7 6 0.99441 0.09053 0.05062 0.01998
8 7 0.99471 0.08832 0.04951 0.01755
9 8 0.99500 0.08630 0.04800 0.01501
10 9 0.99529 0.08433 0.04610 0.01238
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99297 0.10814 0.04104 0.02527
2 1 0.99325 0.10510 0.04286 0.02409
3 2 0.99360 0.10119 0.04483 0.02259
4 3 0.99397 0.09708 0.04648 0.02093
5 4 0.99433 0.09313 0.04760 0.01911
6 5 0.99466 0.08960 0.04820 0.01712
7 6 0.99496 0.08660 0.04834 0.01492
8 7 0.99522 0.08416 0.04803 0.01250
9 8 0.99544 0.08222 0.04729 0.00992
10 9 0.99565 0.08062 0.04614 0.00724
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99194 0.10890 0.06083 0.02214
2 1 0.99233 0.10517 0.06148 0.02107
3 2 0.99280 0.10061 0.06203 0.01960
4 3 0.99326 0.09619 0.06211 0.01789
5 4 0.99369 0.09233 0.06164 0.01601
6 5 0.99407 0.08912 0.06064 0.01403
7 6 0.99443 0.08645 0.05913 0.01198
8 7 0.99477 0.08417 0.05709 0.00993
9 8 0.99509 0.08216 0.05453 0.00793
10 9 0.99542 0.08028 0.05153 0.00606
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99351 0.09884 0.05200 0.02172
2 1 0.99374 0.09598 0.05333 0.02038
3 2 0.99402 0.09263 0.05471 0.01882
4 3 0.99429 0.08939 0.05563 0.01723
5 4 0.99456 0.08653 0.05591 0.01568
6 5 0.99480 0.08415 0.05556 0.01419
7 6 0.99503 0.08226 0.05464 0.01278
8 7 0.99524 0.08084 0.05318 0.01141
9 8 0.99544 0.07977 0.05125 0.01009
10 9 0.99565 0.07887 0.04891 0.00879
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98806 0.14472 0.03704 0.03782
2 1 0.98872 0.14010 0.03784 0.03700
3 2 0.98953 0.13448 0.03828 0.03580
4 3 0.99032 0.12902 0.03794 0.03425
5 4 0.99103 0.12431 0.03683 0.03230
6 5 0.99165 0.12048 0.03503 0.02988
7 6 0.99217 0.11748 0.03263 0.02695
8 7 0.99262 0.11512 0.02977 0.02359
9 8 0.99302 0.11320 0.02661 0.01993
10 9 0.99336 0.11154 0.02325 0.01612
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98872 0.14029 0.03036 0.04272
2 1 0.98931 0.13627 0.03097 0.04158
3 2 0.99001 0.13157 0.03116 0.03994
4 3 0.99073 0.12677 0.03067 0.03784
5 4 0.99141 0.12238 0.02953 0.03533
6 5 0.99201 0.11870 0.02783 0.03248
7 6 0.99252 0.11574 0.02564 0.02935
8 7 0.99296 0.11327 0.02295 0.02593
9 8 0.99336 0.11114 0.01977 0.02224
10 9 0.99372 0.10920 0.01622 0.01840
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98624 0.15213 0.06407 0.00881
2 1 0.98696 0.14739 0.06421 0.00768
3 2 0.98787 0.14125 0.06424 0.00639
4 3 0.98881 0.13470 0.06395 0.00512
5 4 0.98969 0.12847 0.06324 0.00392
6 5 0.99046 0.12298 0.06202 0.00277
7 6 0.99114 0.11838 0.06022 0.00164
8 7 0.99173 0.11465 0.05776 0.00052
9 8 0.99225 0.11162 0.05463 -0.00057
10 9 0.99273 0.10909 0.05091 -0.00162
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98526 0.15239 0.07667 0.01231
2 1 0.98601 0.14746 0.07686 0.01112
3 2 0.98694 0.14122 0.07689 0.00968
4 3 0.98791 0.13450 0.07661 0.00820
5 4 0.98885 0.12796 0.07585 0.00667
6 5 0.98971 0.12210 0.07445 0.00507
7 6 0.99047 0.11712 0.07241 0.00343
8 7 0.99114 0.11305 0.06976 0.00181
9 8 0.99173 0.10976 0.06658 0.00028
10 9 0.99227 0.10698 0.06287 -0.00114
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98860 0.14377 0.03430 0.02856
2 1 0.98909 0.14013 0.03580 0.02793
3 2 0.98972 0.13555 0.03692 0.02693
4 3 0.99038 0.13082 0.03718 0.02554
5 4 0.99101 0.12647 0.03651 0.02374
6 5 0.99159 0.12272 0.03499 0.02153
7 6 0.99211 0.11955 0.03275 0.01892
8 7 0.99257 0.11690 0.02988 0.01591
9 8 0.99297 0.11466 0.02653 0.01257
10 9 0.99333 0.11267 0.02287 0.00903
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98793 0.14577 0.03722 0.03695
2 1 0.98844 0.14218 0.03829 0.03612
3 2 0.98910 0.13761 0.03907 0.03493
4 3 0.98980 0.13290 0.03902 0.03334
5 4 0.99049 0.12846 0.03804 0.03133
6 5 0.99112 0.12459 0.03628 0.02888
7 6 0.99168 0.12145 0.03391 0.02601
8 7 0.99215 0.11897 0.03103 0.02270
9 8 0.99257 0.11694 0.02772 0.01897
10 9 0.99294 0.11515 0.02415 0.01493
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98694 0.15222 0.05254 0.00475
2 1 0.98758 0.14751 0.05400 0.00405
3 2 0.98836 0.14165 0.05541 0.00338
4 3 0.98915 0.13558 0.05645 0.00277
5 4 0.98990 0.12982 0.05692 0.00214
6 5 0.99059 0.12461 0.05663 0.00139
7 6 0.99122 0.12007 0.05541 0.00044
8 7 0.99180 0.11617 0.05327 -0.00071
9 8 0.99234 0.11282 0.05031 -0.00197
10 9 0.99283 0.10995 0.04671 -0.00320
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98625 0.15366 0.06077 0.00383
2 1 0.98687 0.14903 0.06224 0.00280
3 2 0.98767 0.14307 0.06356 0.00169
4 3 0.98852 0.13664 0.06449 0.00068
5 4 0.98934 0.13038 0.06488 -0.00026
6 5 0.99009 0.12469 0.06454 -0.00121
7 6 0.99077 0.11983 0.06332 -0.00221
8 7 0.99138 0.11580 0.06113 -0.00326
9 8 0.99194 0.11251 0.05805 -0.00433
10 9 0.99247 0.10973 0.05418 -0.00541
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99741 0.06531 0.01947 -0.02283
2 1 0.99751 0.06323 0.02029 -0.02380
3 2 0.99762 0.06059 0.02128 -0.02505
4 3 0.99773 0.05775 0.02231 -0.02643
5 4 0.99784 0.05476 0.02335 -0.02790
6 5 0.99793 0.05178 0.02432 -0.02948
7 6 0.99801 0.04881 0.02517 -0.03114
8 7 0.99807 0.04581 0.02596 -0.03287
9 8 0.99812 0.04283 0.02671 -0.03465
10 9 0.99817 0.03976 0.02751 -0.03642
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99577 0.09054 0.01440 0.00661
2 1 0.99594 0.08847 0.01572 0.00612
3 2 0.99614 0.08597 0.01711 0.00540
4 3 0.99633 0.08350 0.01834 0.00442
5 4 0.99650 0.08128 0.01932 0.00318
6 5 0.99665 0.07928 0.02002 0.00164
7 6 0.99679 0.07742 0.02043 -0.00020
8 7 0.99692 0.07564 0.02054 -0.00233
9 8 0.99705 0.07388 0.02036 -0.00468
10 9 0.99718 0.07204 0.01995 -0.00723
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08409 0.06559 0.00940
2 1 0.99454 0.08071 0.06542 0.00930
3 2 0.99488 0.07701 0.06488 0.00906
4 3 0.99520 0.07374 0.06376 0.00858
5 4 0.99550 0.07119 0.06204 0.00778
6 5 0.99578 0.06935 0.05971 0.00658
7 6 0.99606 0.06801 0.05671 0.00502
8 7 0.99633 0.06700 0.05311 0.00315
9 8 0.99660 0.06622 0.04903 0.00105
10 9 0.99685 0.06558 0.04464 -0.00115
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99444 0.08223 0.06537 0.00785
2 1 0.99462 0.08058 0.06475 0.00717
3 2 0.99484 0.07868 0.06373 0.00632
4 3 0.99508 0.07700 0.06219 0.00523
5 4 0.99531 0.07570 0.06010 0.00389
6 5 0.99555 0.07474 0.05744 0.00232
7 6 0.99578 0.07402 0.05424 0.00058
8 7 0.99602 0.07343 0.05052 -0.00129
9 8 0.99626 0.07285 0.04632 -0.00320
10 9 0.99650 0.07216 0.04178 -0.00507
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99456 0.09719 0.03544 0.01214
2 1 0.99470 0.09519 0.03712 0.01139
3 2 0.99489 0.09261 0.03878 0.01030
4 3 0.99511 0.08978 0.04016 0.00883
5 4 0.99533 0.08695 0.04128 0.00700
6 5 0.99554 0.08422 0.04221 0.00482
7 6 0.99573 0.08163 0.04302 0.00233
8 7 0.99591 0.07913 0.04371 -0.00046
9 8 0.99607 0.07660 0.04426 -0.00350
10 9 0.99624 0.07396 0.04467 -0.00678
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99465 0.09554 0.03835 0.00794
2 1 0.99482 0.09305 0.04021 0.00745
3 2 0.99501 0.09018 0.04223 0.00658
4 3 0.99519 0.08736 0.04398 0.00530
5 4 0.99537 0.08471 0.04535 0.00360
6 5 0.99554 0.08216 0.04636 0.00152
7 6 0.99571 0.07963 0.04705 -0.00086
8 7 0.99589 0.07704 0.04747 -0.00350
9 8 0.99607 0.07434 0.04766 -0.00630
10 9 0.99626 0.07151 0.04769 -0.00922
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99403 0.09094 0.05980 0.00757
2 1 0.99437 0.08743 0.05938 0.00733
3 2 0.99476 0.08358 0.05855 0.00680
4 3 0.99514 0.07995 0.05710 0.00594
5 4 0.99552 0.07678 0.05506 0.00474
6 5 0.99586 0.07410 0.05251 0.00322
7 6 0.99619 0.07184 0.04950 0.00142
8 7 0.99649 0.06986 0.04611 -0.00058
9 8 0.99678 0.06803 0.04238 -0.00270
10 9 0.99706 0.06620 0.03835 -0.00490
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99311 0.09950 0.06103 0.01011
2 1 0.99345 0.09616 0.06097 0.01001
3 2 0.99385 0.09239 0.06032 0.00954
4 3 0.99426 0.08885 0.05889 0.00863
5 4 0.99466 0.08584 0.05680 0.00726
6 5 0.99503 0.08341 0.05418 0.00544
7 6 0.99536 0.08144 0.05110 0.00325
8 7 0.99567 0.07983 0.04765 0.00080
9 8 0.99595 0.07846 0.04390 -0.00175
10 9 0.99621 0.07720 0.03991 -0.00432
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function hemispherize() works
Code
hemispherize(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
hemispherize(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
astamm/squad documentation built on Jan. 26, 2024, 5:30 p.m.
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The function differentiate() works
Code
differentiate(vespa64$igp[[1]])
Output
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00519 -0.00222 -0.00040
2 2 0.99998 -0.00529 -0.00305 -0.00057
3 3 0.99998 -0.00534 -0.00367 -0.00094
4 4 0.99998 -0.00447 -0.00352 -0.00119
5 5 0.99999 -0.00374 -0.00345 -0.00140
6 6 0.99999 -0.00292 -0.00331 -0.00158
7 7 0.99999 -0.00212 -0.00327 -0.00182
8 8 0.99999 -0.00166 -0.00341 -0.00209
9 9 0.99999 -0.00145 -0.00371 -0.00229
10 10 0.99999 -0.00168 -0.00394 -0.00239
# i 90 more rows
Code
differentiate(vespa64$igp)
Output
[[1]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00519 -0.00222 -0.00040
2 2 0.99998 -0.00529 -0.00305 -0.00057
3 3 0.99998 -0.00534 -0.00367 -0.00094
4 4 0.99998 -0.00447 -0.00352 -0.00119
5 5 0.99999 -0.00374 -0.00345 -0.00140
6 6 0.99999 -0.00292 -0.00331 -0.00158
7 7 0.99999 -0.00212 -0.00327 -0.00182
8 8 0.99999 -0.00166 -0.00341 -0.00209
9 9 0.99999 -0.00145 -0.00371 -0.00229
10 10 0.99999 -0.00168 -0.00394 -0.00239
# i 90 more rows
[[2]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00562 -0.00244 0.00021
2 2 0.99998 -0.00562 -0.00285 0.00006
3 3 0.99998 -0.00577 -0.00337 -0.00028
4 4 0.99998 -0.00569 -0.00364 -0.00055
5 5 0.99998 -0.00508 -0.00369 -0.00088
6 6 0.99999 -0.00380 -0.00343 -0.00120
7 7 0.99999 -0.00288 -0.00344 -0.00154
8 8 0.99999 -0.00221 -0.00365 -0.00188
9 9 0.99999 -0.00171 -0.00389 -0.00215
10 10 0.99999 -0.00133 -0.00390 -0.00228
# i 90 more rows
[[3]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00564 0.00059 -0.00011
2 2 0.99998 -0.00653 -0.00025 0.00072
3 3 0.99997 -0.00744 -0.00093 0.00096
4 4 0.99997 -0.00702 -0.00130 0.00112
5 5 0.99998 -0.00613 -0.00167 0.00103
6 6 0.99998 -0.00524 -0.00202 0.00100
7 7 0.99999 -0.00422 -0.00243 0.00097
8 8 0.99999 -0.00337 -0.00290 0.00093
9 9 0.99999 -0.00273 -0.00343 0.00088
10 10 0.99999 -0.00217 -0.00386 0.00082
# i 90 more rows
[[4]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00579 0.00081 0.00039
2 2 0.99998 -0.00622 -0.00025 0.00075
3 3 0.99998 -0.00672 -0.00079 0.00097
4 4 0.99998 -0.00668 -0.00127 0.00110
5 5 0.99998 -0.00595 -0.00164 0.00107
6 6 0.99999 -0.00497 -0.00197 0.00101
7 7 0.99999 -0.00384 -0.00233 0.00092
8 8 0.99999 -0.00290 -0.00278 0.00089
9 9 0.99999 -0.00212 -0.00346 0.00084
10 10 0.99999 -0.00164 -0.00408 0.00069
# i 90 more rows
[[5]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00494 -0.00206 -0.00098
2 2 0.99999 -0.00476 -0.00252 -0.00043
3 3 0.99998 -0.00460 -0.00319 -0.00053
4 4 0.99998 -0.00427 -0.00347 -0.00086
5 5 0.99999 -0.00392 -0.00362 -0.00121
6 6 0.99999 -0.00341 -0.00363 -0.00155
7 7 0.99999 -0.00265 -0.00348 -0.00185
8 8 0.99999 -0.00195 -0.00346 -0.00213
9 9 0.99999 -0.00150 -0.00362 -0.00232
10 10 0.99999 -0.00147 -0.00385 -0.00245
# i 90 more rows
[[6]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00559 -0.00017 -0.00074
2 2 0.99998 -0.00554 -0.00178 -0.00025
3 3 0.99998 -0.00576 -0.00300 -0.00024
4 4 0.99998 -0.00560 -0.00360 -0.00046
5 5 0.99998 -0.00499 -0.00363 -0.00068
6 6 0.99998 -0.00423 -0.00354 -0.00099
7 7 0.99999 -0.00294 -0.00330 -0.00145
8 8 0.99999 -0.00196 -0.00327 -0.00184
9 9 0.99999 -0.00145 -0.00353 -0.00224
10 10 0.99999 -0.00113 -0.00376 -0.00254
# i 90 more rows
[[7]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00372 0.00203 -0.00002
2 2 0.99999 -0.00331 0.00219 0.00036
3 3 0.99999 -0.00327 0.00189 0.00090
4 4 0.99999 -0.00338 0.00139 0.00124
5 5 0.99999 -0.00332 0.00087 0.00151
6 6 0.99999 -0.00322 0.00051 0.00189
7 7 0.99999 -0.00281 -0.00032 0.00198
8 8 0.99999 -0.00231 -0.00112 0.00200
9 9 0.99999 -0.00204 -0.00167 0.00197
10 10 0.99999 -0.00195 -0.00211 0.00199
# i 90 more rows
[[8]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00268 0.00201 0.00192
2 2 0.99999 -0.00331 0.00215 0.00235
3 3 0.99999 -0.00350 0.00154 0.00239
4 4 0.99999 -0.00351 0.00084 0.00235
5 5 0.99999 -0.00331 0.00001 0.00229
6 6 0.99999 -0.00281 -0.00100 0.00218
7 7 0.99999 -0.00231 -0.00198 0.00208
8 8 0.99999 -0.00176 -0.00286 0.00203
9 9 0.99999 -0.00141 -0.00365 0.00199
10 10 0.99999 -0.00131 -0.00417 0.00196
# i 90 more rows
[[9]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00660 -0.00025 0.00077
2 2 0.99997 -0.00756 -0.00152 0.00041
3 3 0.99996 -0.00843 -0.00282 0.00005
4 4 0.99996 -0.00806 -0.00360 -0.00054
5 5 0.99997 -0.00708 -0.00399 -0.00117
6 6 0.99998 -0.00532 -0.00402 -0.00195
7 7 0.99998 -0.00340 -0.00364 -0.00268
8 8 0.99999 -0.00181 -0.00309 -0.00341
9 9 0.99999 -0.00083 -0.00239 -0.00385
10 10 0.99999 -0.00050 -0.00168 -0.00391
# i 90 more rows
[[10]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00770 0.00050 0.00029
2 2 0.99997 -0.00795 -0.00116 0.00050
3 3 0.99996 -0.00800 -0.00262 0.00012
4 4 0.99996 -0.00788 -0.00348 -0.00040
5 5 0.99997 -0.00702 -0.00386 -0.00105
6 6 0.99998 -0.00560 -0.00387 -0.00179
7 7 0.99998 -0.00370 -0.00348 -0.00242
8 8 0.99999 -0.00199 -0.00300 -0.00292
9 9 0.99999 -0.00051 -0.00242 -0.00337
10 10 0.99999 0.00011 -0.00186 -0.00363
# i 90 more rows
[[11]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00743 0.00259 -0.00012
2 2 0.99997 -0.00724 0.00165 0.00007
3 3 0.99998 -0.00657 0.00033 0.00007
4 4 0.99999 -0.00510 -0.00094 -0.00007
5 5 0.99999 -0.00389 -0.00223 -0.00030
6 6 0.99999 -0.00302 -0.00371 -0.00060
7 7 0.99998 -0.00288 -0.00490 -0.00084
8 8 0.99998 -0.00271 -0.00547 -0.00112
9 9 0.99998 -0.00243 -0.00535 -0.00144
10 10 0.99999 -0.00190 -0.00428 -0.00155
# i 90 more rows
[[12]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99996 -0.00766 0.00346 -0.00017
2 2 0.99997 -0.00745 0.00226 0.00036
3 3 0.99998 -0.00668 0.00066 0.00054
4 4 0.99998 -0.00573 -0.00129 0.00062
5 5 0.99998 -0.00520 -0.00306 0.00057
6 6 0.99998 -0.00460 -0.00444 0.00026
7 7 0.99998 -0.00401 -0.00523 -0.00014
8 8 0.99998 -0.00307 -0.00532 -0.00073
9 9 0.99999 -0.00213 -0.00438 -0.00133
10 10 0.99999 -0.00160 -0.00352 -0.00178
# i 90 more rows
[[13]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00362 -0.00259 0.00018
2 2 0.99998 -0.00401 -0.00414 0.00031
3 3 0.99999 -0.00338 -0.00369 -0.00041
4 4 0.99999 -0.00253 -0.00303 -0.00109
5 5 0.99999 -0.00155 -0.00226 -0.00181
6 6 1.00000 -0.00081 -0.00163 -0.00231
7 7 1.00000 -0.00041 -0.00123 -0.00268
8 8 0.99999 -0.00043 -0.00110 -0.00300
9 9 0.99999 -0.00087 -0.00117 -0.00314
10 10 0.99999 -0.00146 -0.00136 -0.00300
# i 90 more rows
[[14]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00359 -0.00178 0.00074
2 2 0.99999 -0.00418 -0.00255 0.00033
3 3 0.99999 -0.00384 -0.00318 -0.00021
4 4 0.99999 -0.00315 -0.00334 -0.00080
5 5 0.99999 -0.00225 -0.00319 -0.00142
6 6 0.99999 -0.00133 -0.00294 -0.00198
7 7 0.99999 -0.00067 -0.00269 -0.00234
8 8 0.99999 -0.00046 -0.00252 -0.00257
9 9 0.99999 -0.00071 -0.00245 -0.00270
10 10 0.99999 -0.00134 -0.00235 -0.00271
# i 90 more rows
[[15]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00455 -0.00186 0.00107
2 2 0.99999 -0.00417 -0.00301 0.00094
3 3 0.99999 -0.00350 -0.00384 0.00040
4 4 0.99999 -0.00267 -0.00426 -0.00022
5 5 0.99999 -0.00167 -0.00424 -0.00088
6 6 0.99999 -0.00074 -0.00403 -0.00150
7 7 0.99999 -0.00014 -0.00371 -0.00194
8 8 0.99999 0.00010 -0.00333 -0.00217
9 9 0.99999 -0.00011 -0.00291 -0.00215
10 10 0.99999 -0.00070 -0.00251 -0.00198
# i 90 more rows
[[16]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00546 -0.00077 0.00127
2 2 0.99999 -0.00472 -0.00212 0.00115
3 3 0.99999 -0.00414 -0.00309 0.00074
4 4 0.99999 -0.00333 -0.00364 0.00027
5 5 0.99999 -0.00238 -0.00387 -0.00028
6 6 0.99999 -0.00138 -0.00380 -0.00085
7 7 0.99999 -0.00069 -0.00371 -0.00139
8 8 0.99999 -0.00038 -0.00365 -0.00181
9 9 0.99999 -0.00051 -0.00369 -0.00202
10 10 0.99999 -0.00096 -0.00373 -0.00206
# i 90 more rows
[[17]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00430 0.00027 -0.00133
2 2 0.99999 -0.00398 -0.00032 -0.00147
3 3 0.99999 -0.00398 -0.00032 -0.00173
4 4 0.99999 -0.00376 -0.00028 -0.00193
5 5 0.99999 -0.00350 -0.00015 -0.00225
6 6 0.99999 -0.00310 -0.00002 -0.00255
7 7 0.99999 -0.00276 0.00003 -0.00282
8 8 0.99999 -0.00259 0.00007 -0.00299
9 9 0.99999 -0.00253 0.00007 -0.00309
10 10 0.99999 -0.00255 0.00006 -0.00311
# i 90 more rows
[[18]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00479 -0.00072 -0.00115
2 2 0.99999 -0.00443 -0.00084 -0.00139
3 3 0.99999 -0.00412 -0.00062 -0.00177
4 4 0.99999 -0.00368 -0.00041 -0.00205
5 5 0.99999 -0.00323 -0.00032 -0.00242
6 6 0.99999 -0.00271 -0.00027 -0.00276
7 7 0.99999 -0.00223 -0.00016 -0.00303
8 8 0.99999 -0.00218 -0.00007 -0.00333
9 9 0.99999 -0.00217 -0.00010 -0.00337
10 10 0.99999 -0.00231 -0.00017 -0.00337
# i 90 more rows
[[19]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00375 0.00135 0.00012
2 2 0.99999 -0.00387 0.00020 0.00040
3 3 0.99999 -0.00440 -0.00105 0.00059
4 4 0.99999 -0.00465 -0.00186 0.00058
5 5 0.99999 -0.00476 -0.00249 0.00047
6 6 0.99999 -0.00459 -0.00294 0.00021
7 7 0.99998 -0.00443 -0.00338 -0.00021
8 8 0.99998 -0.00408 -0.00378 -0.00070
9 9 0.99998 -0.00366 -0.00398 -0.00108
10 10 0.99998 -0.00341 -0.00410 -0.00141
# i 90 more rows
[[20]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00539 -0.00145 0.00035
2 2 0.99998 -0.00518 -0.00239 0.00063
3 3 0.99998 -0.00525 -0.00303 0.00032
4 4 0.99998 -0.00481 -0.00327 -0.00015
5 5 0.99999 -0.00399 -0.00334 -0.00063
6 6 0.99999 -0.00330 -0.00348 -0.00104
7 7 0.99999 -0.00296 -0.00382 -0.00140
8 8 0.99999 -0.00269 -0.00426 -0.00174
9 9 0.99998 -0.00253 -0.00448 -0.00192
10 10 0.99998 -0.00262 -0.00445 -0.00193
# i 90 more rows
[[21]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00559 -0.00068 -0.00068
2 2 0.99999 -0.00501 -0.00088 -0.00076
3 3 0.99999 -0.00484 -0.00074 -0.00117
4 4 0.99999 -0.00436 -0.00057 -0.00157
5 5 0.99999 -0.00400 -0.00036 -0.00210
6 6 0.99999 -0.00370 -0.00021 -0.00262
7 7 0.99999 -0.00351 -0.00014 -0.00294
8 8 0.99999 -0.00331 -0.00006 -0.00307
9 9 0.99999 -0.00333 -0.00002 -0.00317
10 10 0.99999 -0.00357 -0.00001 -0.00326
# i 90 more rows
[[22]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00488 -0.00124 -0.00039
2 2 0.99999 -0.00516 -0.00137 -0.00081
3 3 0.99999 -0.00502 -0.00103 -0.00128
4 4 0.99999 -0.00435 -0.00052 -0.00173
5 5 0.99999 -0.00371 -0.00026 -0.00216
6 6 0.99999 -0.00320 -0.00026 -0.00262
7 7 0.99999 -0.00267 -0.00023 -0.00284
8 8 0.99999 -0.00250 -0.00022 -0.00299
9 9 0.99999 -0.00278 -0.00030 -0.00314
10 10 0.99999 -0.00323 -0.00042 -0.00321
# i 90 more rows
[[23]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00424 0.00085 0.00012
2 2 0.99999 -0.00405 -0.00038 0.00075
3 3 0.99999 -0.00438 -0.00145 0.00091
4 4 0.99999 -0.00468 -0.00234 0.00078
5 5 0.99998 -0.00468 -0.00292 0.00043
6 6 0.99998 -0.00455 -0.00336 -0.00016
7 7 0.99998 -0.00425 -0.00358 -0.00065
8 8 0.99998 -0.00397 -0.00391 -0.00116
9 9 0.99998 -0.00370 -0.00425 -0.00169
10 10 0.99998 -0.00372 -0.00450 -0.00211
# i 90 more rows
[[24]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00460 0.00025 -0.00041
2 2 0.99999 -0.00394 -0.00033 0.00045
3 3 0.99999 -0.00415 -0.00139 0.00054
4 4 0.99999 -0.00448 -0.00233 0.00056
5 5 0.99998 -0.00461 -0.00307 0.00036
6 6 0.99998 -0.00457 -0.00363 -0.00001
7 7 0.99998 -0.00422 -0.00396 -0.00051
8 8 0.99998 -0.00391 -0.00431 -0.00101
9 9 0.99998 -0.00363 -0.00463 -0.00147
10 10 0.99998 -0.00336 -0.00476 -0.00182
# i 90 more rows
[[25]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00076 -0.00245 -0.00075
2 2 0.99999 -0.00216 -0.00358 -0.00064
3 3 0.99999 -0.00303 -0.00399 -0.00058
4 4 0.99998 -0.00384 -0.00431 -0.00056
5 5 0.99998 -0.00477 -0.00462 -0.00057
6 6 0.99997 -0.00592 -0.00492 -0.00047
7 7 0.99997 -0.00659 -0.00483 -0.00050
8 8 0.99996 -0.00708 -0.00479 -0.00050
9 9 0.99996 -0.00740 -0.00468 -0.00051
10 10 0.99996 -0.00733 -0.00422 -0.00055
# i 90 more rows
[[26]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00336 -0.00371 0.00095
2 2 0.99999 -0.00349 -0.00373 0.00054
3 3 0.99999 -0.00351 -0.00351 0.00027
4 4 0.99999 -0.00375 -0.00327 -0.00004
5 5 0.99999 -0.00314 -0.00286 -0.00027
6 6 0.99999 -0.00238 -0.00248 -0.00059
7 7 0.99999 -0.00201 -0.00250 -0.00083
8 8 0.99999 -0.00167 -0.00273 -0.00105
9 9 0.99999 -0.00157 -0.00291 -0.00121
10 10 0.99999 -0.00205 -0.00331 -0.00134
# i 90 more rows
[[27]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00138 -0.00301 0.00256
2 2 0.99999 -0.00063 -0.00353 0.00230
3 3 0.99999 0.00020 -0.00346 0.00162
4 4 0.99999 0.00080 -0.00346 0.00123
5 5 0.99999 0.00133 -0.00332 0.00077
6 6 0.99999 0.00139 -0.00302 0.00025
7 7 0.99999 0.00109 -0.00302 -0.00008
8 8 0.99999 0.00072 -0.00320 -0.00024
9 9 0.99999 0.00024 -0.00346 -0.00024
10 10 0.99999 -0.00017 -0.00362 -0.00005
# i 90 more rows
[[28]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00342 -0.00167 0.00187
2 2 0.99999 -0.00212 -0.00208 0.00220
3 3 0.99999 -0.00128 -0.00234 0.00218
4 4 1.00000 -0.00035 -0.00227 0.00193
5 5 1.00000 0.00054 -0.00221 0.00145
6 6 1.00000 0.00112 -0.00239 0.00106
7 7 1.00000 0.00141 -0.00258 0.00055
8 8 0.99999 0.00120 -0.00294 0.00004
9 9 0.99999 0.00081 -0.00334 -0.00027
10 10 0.99999 0.00017 -0.00370 -0.00039
# i 90 more rows
[[29]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00188 -0.00288 0.00262
2 2 0.99999 -0.00207 -0.00346 0.00262
3 3 0.99999 -0.00142 -0.00329 0.00218
4 4 0.99999 -0.00070 -0.00272 0.00155
5 5 1.00000 0.00001 -0.00206 0.00077
6 6 1.00000 0.00044 -0.00187 0.00017
7 7 1.00000 0.00061 -0.00194 -0.00030
8 8 1.00000 0.00052 -0.00236 -0.00060
9 9 1.00000 0.00022 -0.00294 -0.00076
10 10 0.99999 -0.00026 -0.00359 -0.00079
# i 90 more rows
[[30]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00021 -0.00267 0.00205
2 2 0.99999 -0.00152 -0.00249 0.00191
3 3 0.99999 -0.00097 -0.00261 0.00150
4 4 1.00000 -0.00030 -0.00240 0.00098
5 5 1.00000 0.00027 -0.00234 0.00046
6 6 1.00000 0.00066 -0.00232 -0.00005
7 7 1.00000 0.00076 -0.00255 -0.00036
8 8 1.00000 0.00059 -0.00298 -0.00058
9 9 0.99999 0.00022 -0.00357 -0.00061
10 10 0.99999 -0.00027 -0.00408 -0.00057
# i 90 more rows
[[31]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00156 -0.00087 0.00297
2 2 1.00000 -0.00088 -0.00117 0.00272
3 3 1.00000 -0.00039 -0.00158 0.00232
4 4 1.00000 0.00024 -0.00185 0.00176
5 5 1.00000 0.00071 -0.00203 0.00129
6 6 1.00000 0.00089 -0.00235 0.00106
7 7 1.00000 0.00089 -0.00273 0.00091
8 8 0.99999 0.00064 -0.00328 0.00086
9 9 0.99999 0.00031 -0.00380 0.00098
10 10 0.99999 -0.00005 -0.00422 0.00113
# i 90 more rows
[[32]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00144 -0.00175 0.00200
2 2 1.00000 -0.00037 -0.00163 0.00194
3 3 1.00000 0.00015 -0.00166 0.00162
4 4 1.00000 0.00078 -0.00183 0.00118
5 5 1.00000 0.00120 -0.00223 0.00087
6 6 0.99999 0.00143 -0.00274 0.00071
7 7 0.99999 0.00147 -0.00332 0.00069
8 8 0.99999 0.00131 -0.00393 0.00075
9 9 0.99999 0.00087 -0.00443 0.00093
10 10 0.99999 0.00037 -0.00482 0.00115
# i 90 more rows
[[33]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00488 0.00358 0.00011
2 2 0.99998 -0.00468 0.00374 -0.00010
3 3 0.99998 -0.00455 0.00343 -0.00052
4 4 0.99999 -0.00412 0.00317 -0.00088
5 5 0.99999 -0.00357 0.00300 -0.00125
6 6 0.99999 -0.00312 0.00276 -0.00171
7 7 0.99999 -0.00291 0.00247 -0.00219
8 8 0.99999 -0.00289 0.00216 -0.00266
9 9 0.99999 -0.00293 0.00184 -0.00310
10 10 0.99999 -0.00340 0.00139 -0.00348
# i 90 more rows
[[34]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00238 0.00323 0.00005
2 2 0.99999 -0.00310 0.00300 -0.00072
3 3 0.99999 -0.00285 0.00287 -0.00125
4 4 0.99999 -0.00234 0.00254 -0.00178
5 5 0.99999 -0.00220 0.00227 -0.00225
6 6 0.99999 -0.00233 0.00204 -0.00274
7 7 0.99999 -0.00259 0.00155 -0.00315
8 8 0.99999 -0.00289 0.00108 -0.00335
9 9 0.99999 -0.00313 0.00073 -0.00354
10 10 0.99999 -0.00336 0.00050 -0.00369
# i 90 more rows
[[35]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00443 0.00175 -0.00145
2 2 0.99999 -0.00436 0.00112 -0.00199
3 3 0.99999 -0.00411 0.00044 -0.00215
4 4 0.99999 -0.00351 -0.00014 -0.00230
5 5 0.99999 -0.00268 -0.00083 -0.00239
6 6 0.99999 -0.00240 -0.00150 -0.00263
7 7 0.99999 -0.00209 -0.00207 -0.00267
8 8 0.99999 -0.00211 -0.00282 -0.00287
9 9 0.99999 -0.00230 -0.00366 -0.00313
10 10 0.99998 -0.00248 -0.00407 -0.00331
# i 90 more rows
[[36]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00473 0.00140 -0.00237
2 2 0.99999 -0.00476 0.00092 -0.00247
3 3 0.99999 -0.00429 -0.00009 -0.00245
4 4 0.99999 -0.00364 -0.00103 -0.00239
5 5 0.99999 -0.00314 -0.00206 -0.00247
6 6 0.99999 -0.00293 -0.00301 -0.00266
7 7 0.99998 -0.00271 -0.00384 -0.00291
8 8 0.99998 -0.00264 -0.00443 -0.00305
9 9 0.99998 -0.00262 -0.00491 -0.00312
10 10 0.99998 -0.00272 -0.00509 -0.00315
# i 90 more rows
[[37]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00405 0.00431 0.00153
2 2 0.99998 -0.00447 0.00433 0.00136
3 3 0.99998 -0.00415 0.00429 0.00068
4 4 0.99999 -0.00322 0.00387 0.00000
5 5 0.99999 -0.00245 0.00368 -0.00052
6 6 0.99999 -0.00207 0.00348 -0.00108
7 7 0.99999 -0.00201 0.00328 -0.00172
8 8 0.99999 -0.00223 0.00308 -0.00238
9 9 0.99999 -0.00243 0.00271 -0.00286
10 10 0.99999 -0.00264 0.00230 -0.00317
# i 90 more rows
[[38]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00425 0.00425 0.00062
2 2 0.99998 -0.00416 0.00369 0.00015
3 3 0.99999 -0.00394 0.00306 -0.00044
4 4 0.99999 -0.00372 0.00287 -0.00096
5 5 0.99999 -0.00371 0.00270 -0.00153
6 6 0.99999 -0.00373 0.00240 -0.00197
7 7 0.99999 -0.00355 0.00207 -0.00235
8 8 0.99999 -0.00357 0.00178 -0.00277
9 9 0.99999 -0.00373 0.00153 -0.00325
10 10 0.99999 -0.00374 0.00126 -0.00361
# i 90 more rows
[[39]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00209 0.00312 -0.00162
2 2 0.99999 -0.00339 0.00228 -0.00137
3 3 0.99999 -0.00353 0.00140 -0.00169
4 4 0.99999 -0.00331 0.00046 -0.00196
5 5 0.99999 -0.00303 -0.00058 -0.00227
6 6 0.99999 -0.00286 -0.00125 -0.00254
7 7 0.99999 -0.00292 -0.00190 -0.00288
8 8 0.99999 -0.00309 -0.00249 -0.00322
9 9 0.99999 -0.00311 -0.00285 -0.00328
10 10 0.99998 -0.00312 -0.00323 -0.00332
# i 90 more rows
[[40]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00515 0.00471 -0.00186
2 2 0.99998 -0.00468 0.00307 -0.00183
3 3 0.99999 -0.00398 0.00175 -0.00187
4 4 0.99999 -0.00334 0.00052 -0.00196
5 5 0.99999 -0.00284 -0.00070 -0.00216
6 6 0.99999 -0.00253 -0.00191 -0.00241
7 7 0.99999 -0.00237 -0.00294 -0.00265
8 8 0.99999 -0.00249 -0.00388 -0.00294
9 9 0.99998 -0.00267 -0.00457 -0.00312
10 10 0.99998 -0.00287 -0.00492 -0.00316
# i 90 more rows
[[41]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00235 0.00084 -0.00171
2 2 0.99999 -0.00275 0.00010 -0.00189
3 3 0.99999 -0.00275 -0.00090 -0.00201
4 4 0.99999 -0.00255 -0.00196 -0.00222
5 5 0.99999 -0.00226 -0.00291 -0.00238
6 6 0.99999 -0.00216 -0.00346 -0.00262
7 7 0.99999 -0.00216 -0.00379 -0.00294
8 8 0.99998 -0.00229 -0.00396 -0.00307
9 9 0.99998 -0.00270 -0.00414 -0.00320
10 10 0.99998 -0.00295 -0.00405 -0.00327
# i 90 more rows
[[42]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00533 -0.00027 -0.00156
2 2 0.99999 -0.00432 -0.00113 -0.00164
3 3 0.99999 -0.00338 -0.00160 -0.00179
4 4 0.99999 -0.00257 -0.00191 -0.00194
5 5 0.99999 -0.00206 -0.00221 -0.00210
6 6 0.99999 -0.00193 -0.00252 -0.00230
7 7 0.99999 -0.00189 -0.00275 -0.00239
8 8 0.99999 -0.00216 -0.00312 -0.00239
9 9 0.99999 -0.00283 -0.00360 -0.00251
10 10 0.99998 -0.00391 -0.00394 -0.00259
# i 90 more rows
[[43]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00707 0.00004 -0.00247
2 2 0.99998 -0.00663 -0.00045 -0.00211
3 3 0.99998 -0.00584 -0.00098 -0.00173
4 4 0.99999 -0.00474 -0.00147 -0.00148
5 5 0.99999 -0.00382 -0.00199 -0.00131
6 6 0.99999 -0.00309 -0.00243 -0.00117
7 7 0.99999 -0.00247 -0.00293 -0.00104
8 8 0.99999 -0.00225 -0.00364 -0.00095
9 9 0.99999 -0.00230 -0.00437 -0.00086
10 10 0.99998 -0.00256 -0.00503 -0.00057
# i 90 more rows
[[44]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00695 -0.00014 -0.00269
2 2 0.99998 -0.00514 -0.00049 -0.00185
3 3 0.99999 -0.00380 -0.00085 -0.00146
4 4 0.99999 -0.00281 -0.00138 -0.00123
5 5 0.99999 -0.00244 -0.00199 -0.00110
6 6 0.99999 -0.00231 -0.00279 -0.00089
7 7 0.99999 -0.00230 -0.00344 -0.00067
8 8 0.99999 -0.00236 -0.00402 -0.00041
9 9 0.99999 -0.00251 -0.00446 -0.00017
10 10 0.99998 -0.00282 -0.00477 0.00009
# i 90 more rows
[[45]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00476 0.00215 -0.00171
2 2 0.99999 -0.00484 0.00147 -0.00183
3 3 0.99999 -0.00422 0.00073 -0.00194
4 4 0.99999 -0.00349 0.00004 -0.00205
5 5 0.99999 -0.00272 -0.00051 -0.00227
6 6 0.99999 -0.00215 -0.00094 -0.00241
7 7 0.99999 -0.00190 -0.00131 -0.00251
8 8 0.99999 -0.00170 -0.00173 -0.00255
9 9 0.99999 -0.00163 -0.00214 -0.00255
10 10 0.99999 -0.00176 -0.00260 -0.00262
# i 90 more rows
[[46]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00419 0.00323 -0.00229
2 2 0.99998 -0.00512 0.00281 -0.00230
3 3 0.99998 -0.00471 0.00196 -0.00211
4 4 0.99999 -0.00438 0.00102 -0.00211
5 5 0.99999 -0.00367 0.00035 -0.00214
6 6 0.99999 -0.00297 -0.00005 -0.00235
7 7 0.99999 -0.00218 -0.00054 -0.00260
8 8 0.99999 -0.00152 -0.00096 -0.00269
9 9 0.99999 -0.00125 -0.00132 -0.00294
10 10 1.00000 -0.00085 -0.00191 -0.00235
# i 90 more rows
[[47]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00573 0.00143 -0.00189
2 2 0.99998 -0.00633 0.00121 -0.00232
3 3 0.99998 -0.00517 0.00008 -0.00220
4 4 0.99999 -0.00397 -0.00064 -0.00219
5 5 0.99999 -0.00285 -0.00117 -0.00217
6 6 0.99999 -0.00227 -0.00165 -0.00216
7 7 0.99999 -0.00198 -0.00224 -0.00213
8 8 0.99999 -0.00166 -0.00286 -0.00197
9 9 0.99999 -0.00151 -0.00330 -0.00176
10 10 0.99999 -0.00154 -0.00365 -0.00150
# i 90 more rows
[[48]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00462 0.00241 -0.00275
2 2 0.99999 -0.00435 0.00225 -0.00239
3 3 0.99999 -0.00368 0.00117 -0.00206
4 4 0.99999 -0.00298 0.00016 -0.00180
5 5 1.00000 -0.00231 -0.00055 -0.00159
6 6 1.00000 -0.00180 -0.00110 -0.00140
7 7 1.00000 -0.00114 -0.00171 -0.00126
8 8 1.00000 -0.00066 -0.00213 -0.00117
9 9 1.00000 -0.00055 -0.00244 -0.00111
10 10 1.00000 -0.00065 -0.00288 -0.00109
# i 90 more rows
[[49]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00720 0.00242 -0.00153
2 2 0.99997 -0.00789 0.00130 -0.00174
3 3 0.99998 -0.00666 -0.00029 -0.00171
4 4 0.99999 -0.00497 -0.00136 -0.00185
5 5 0.99999 -0.00376 -0.00218 -0.00225
6 6 0.99999 -0.00262 -0.00294 -0.00282
7 7 0.99999 -0.00197 -0.00351 -0.00333
8 8 0.99999 -0.00154 -0.00378 -0.00360
9 9 0.99999 -0.00117 -0.00391 -0.00359
10 10 0.99998 -0.00118 -0.00419 -0.00372
# i 90 more rows
[[50]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00659 0.00207 -0.00181
2 2 0.99998 -0.00587 0.00072 -0.00202
3 3 0.99998 -0.00578 -0.00061 -0.00231
4 4 0.99998 -0.00504 -0.00151 -0.00269
5 5 0.99999 -0.00369 -0.00203 -0.00283
6 6 0.99999 -0.00256 -0.00247 -0.00292
7 7 0.99999 -0.00214 -0.00303 -0.00320
8 8 0.99998 -0.00189 -0.00378 -0.00358
9 9 0.99998 -0.00175 -0.00434 -0.00368
10 10 0.99998 -0.00159 -0.00442 -0.00343
# i 90 more rows
[[51]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00663 0.00021 -0.00243
2 2 0.99996 -0.00807 0.00012 -0.00222
3 3 0.99997 -0.00801 -0.00025 -0.00185
4 4 0.99997 -0.00700 -0.00072 -0.00154
5 5 0.99998 -0.00578 -0.00123 -0.00134
6 6 0.99999 -0.00453 -0.00183 -0.00120
7 7 0.99999 -0.00338 -0.00252 -0.00104
8 8 0.99999 -0.00260 -0.00346 -0.00093
9 9 0.99999 -0.00210 -0.00409 -0.00084
10 10 0.99999 -0.00173 -0.00447 -0.00060
# i 90 more rows
[[52]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00714 0.00038 -0.00254
2 2 0.99997 -0.00783 0.00007 -0.00248
3 3 0.99997 -0.00800 -0.00014 -0.00211
4 4 0.99997 -0.00746 -0.00072 -0.00198
5 5 0.99998 -0.00619 -0.00154 -0.00194
6 6 0.99998 -0.00494 -0.00237 -0.00192
7 7 0.99999 -0.00374 -0.00299 -0.00169
8 8 0.99999 -0.00266 -0.00339 -0.00137
9 9 0.99999 -0.00225 -0.00390 -0.00123
10 10 0.99999 -0.00205 -0.00437 -0.00102
# i 90 more rows
[[53]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00528 0.00375 -0.00126
2 2 0.99998 -0.00616 0.00207 -0.00151
3 3 0.99998 -0.00576 0.00039 -0.00163
4 4 0.99999 -0.00477 -0.00101 -0.00189
5 5 0.99999 -0.00371 -0.00193 -0.00212
6 6 0.99999 -0.00306 -0.00271 -0.00244
7 7 0.99999 -0.00240 -0.00345 -0.00283
8 8 0.99998 -0.00189 -0.00408 -0.00319
9 9 0.99998 -0.00169 -0.00435 -0.00334
10 10 0.99998 -0.00159 -0.00442 -0.00335
# i 90 more rows
[[54]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00512 0.00273 -0.00155
2 2 0.99998 -0.00620 0.00183 -0.00167
3 3 0.99998 -0.00547 0.00011 -0.00175
4 4 0.99998 -0.00511 -0.00138 -0.00207
5 5 0.99999 -0.00417 -0.00226 -0.00236
6 6 0.99999 -0.00302 -0.00284 -0.00261
7 7 0.99999 -0.00206 -0.00339 -0.00305
8 8 0.99998 -0.00161 -0.00406 -0.00355
9 9 0.99998 -0.00135 -0.00448 -0.00393
10 10 0.99998 -0.00133 -0.00439 -0.00405
# i 90 more rows
[[55]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00711 0.00274 -0.00228
2 2 0.99997 -0.00772 0.00186 -0.00146
3 3 0.99997 -0.00715 0.00136 -0.00106
4 4 0.99998 -0.00623 0.00076 -0.00089
5 5 0.99998 -0.00548 -0.00010 -0.00092
6 6 0.99999 -0.00445 -0.00133 -0.00104
7 7 0.99999 -0.00368 -0.00250 -0.00126
8 8 0.99999 -0.00316 -0.00351 -0.00132
9 9 0.99999 -0.00251 -0.00401 -0.00106
10 10 0.99999 -0.00210 -0.00443 -0.00081
# i 90 more rows
[[56]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99997 -0.00651 0.00286 -0.00281
2 2 0.99997 -0.00763 0.00150 -0.00218
3 3 0.99997 -0.00770 0.00107 -0.00162
4 4 0.99997 -0.00707 0.00055 -0.00134
5 5 0.99998 -0.00615 -0.00016 -0.00125
6 6 0.99999 -0.00488 -0.00125 -0.00118
7 7 0.99999 -0.00374 -0.00250 -0.00108
8 8 0.99999 -0.00285 -0.00341 -0.00091
9 9 0.99999 -0.00236 -0.00424 -0.00084
10 10 0.99999 -0.00204 -0.00497 -0.00069
# i 90 more rows
[[57]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00302 0.00113 -0.00151
2 2 0.99999 -0.00336 0.00107 -0.00172
3 3 0.99999 -0.00298 0.00091 -0.00154
4 4 0.99999 -0.00325 0.00105 -0.00160
5 5 0.99999 -0.00302 0.00089 -0.00172
6 6 0.99999 -0.00284 0.00055 -0.00181
7 7 0.99999 -0.00307 0.00055 -0.00188
8 8 0.99999 -0.00277 0.00042 -0.00198
9 9 0.99999 -0.00312 0.00048 -0.00194
10 10 0.99999 -0.00309 0.00062 -0.00182
# i 90 more rows
[[58]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00329 0.00247 -0.00075
2 2 0.99999 -0.00338 0.00181 -0.00091
3 3 0.99999 -0.00289 0.00129 -0.00112
4 4 1.00000 -0.00218 0.00097 -0.00132
5 5 1.00000 -0.00180 0.00062 -0.00161
6 6 1.00000 -0.00167 0.00025 -0.00195
7 7 1.00000 -0.00165 -0.00007 -0.00225
8 8 1.00000 -0.00150 -0.00049 -0.00247
9 9 0.99999 -0.00160 -0.00075 -0.00265
10 10 0.99999 -0.00178 -0.00098 -0.00273
# i 90 more rows
[[59]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00610 0.00042 -0.00038
2 2 0.99999 -0.00525 -0.00010 -0.00038
3 3 0.99999 -0.00385 -0.00110 -0.00046
4 4 1.00000 -0.00246 -0.00169 -0.00073
5 5 1.00000 -0.00142 -0.00232 -0.00117
6 6 0.99999 -0.00092 -0.00323 -0.00151
7 7 0.99999 -0.00071 -0.00401 -0.00183
8 8 0.99999 -0.00053 -0.00453 -0.00205
9 9 0.99999 -0.00019 -0.00470 -0.00202
10 10 0.99999 -0.00024 -0.00475 -0.00198
# i 90 more rows
[[60]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 1.00000 -0.00277 -0.00053 -0.00115
2 2 1.00000 -0.00279 -0.00079 -0.00085
3 3 1.00000 -0.00193 -0.00158 -0.00107
4 4 1.00000 -0.00116 -0.00214 -0.00130
5 5 0.99999 -0.00071 -0.00289 -0.00151
6 6 0.99999 -0.00040 -0.00331 -0.00162
7 7 0.99999 -0.00023 -0.00399 -0.00177
8 8 0.99999 -0.00027 -0.00462 -0.00174
9 9 0.99999 -0.00033 -0.00495 -0.00159
10 10 0.99999 -0.00045 -0.00499 -0.00144
# i 90 more rows
[[61]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00279 0.00336 -0.00123
2 2 0.99999 -0.00318 0.00207 -0.00138
3 3 0.99999 -0.00322 0.00125 -0.00173
4 4 0.99999 -0.00300 0.00079 -0.00208
5 5 0.99999 -0.00272 0.00064 -0.00240
6 6 0.99999 -0.00233 0.00058 -0.00268
7 7 0.99999 -0.00219 0.00048 -0.00302
8 8 0.99999 -0.00223 0.00031 -0.00325
9 9 0.99999 -0.00235 0.00020 -0.00351
10 10 0.99999 -0.00263 -0.00002 -0.00379
# i 90 more rows
[[62]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99999 -0.00416 0.00339 -0.00072
2 2 0.99999 -0.00372 0.00279 -0.00121
3 3 0.99999 -0.00296 0.00186 -0.00157
4 4 0.99999 -0.00246 0.00123 -0.00201
5 5 0.99999 -0.00226 0.00069 -0.00239
6 6 0.99999 -0.00226 0.00039 -0.00266
7 7 0.99999 -0.00236 0.00009 -0.00290
8 8 0.99999 -0.00251 -0.00015 -0.00306
9 9 0.99999 -0.00272 -0.00034 -0.00317
10 10 0.99999 -0.00282 -0.00038 -0.00317
# i 90 more rows
[[63]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00638 0.00002 -0.00025
2 2 0.99999 -0.00494 -0.00044 -0.00074
3 3 0.99999 -0.00409 -0.00155 -0.00097
4 4 0.99999 -0.00321 -0.00229 -0.00124
5 5 0.99999 -0.00244 -0.00278 -0.00154
6 6 0.99999 -0.00193 -0.00330 -0.00184
7 7 0.99999 -0.00160 -0.00362 -0.00196
8 8 0.99999 -0.00147 -0.00398 -0.00203
9 9 0.99999 -0.00150 -0.00431 -0.00206
10 10 0.99999 -0.00165 -0.00459 -0.00212
# i 90 more rows
[[64]]
# A tibble: 100 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 1 0.99998 -0.00584 0.00114 0.00003
2 2 0.99999 -0.00511 -0.00030 -0.00059
3 3 0.99999 -0.00409 -0.00169 -0.00097
4 4 0.99999 -0.00307 -0.00247 -0.00137
5 5 0.99999 -0.00215 -0.00294 -0.00185
6 6 0.99999 -0.00165 -0.00342 -0.00226
7 7 0.99999 -0.00127 -0.00384 -0.00250
8 8 0.99999 -0.00097 -0.00404 -0.00248
9 9 0.99999 -0.00076 -0.00425 -0.00237
10 10 0.99999 -0.00087 -0.00453 -0.00231
# i 90 more rows
attr(,"class")
[1] "qts_sample" "list"
The function straighten() works
Code
straighten(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
straighten(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function log() works
Code
log(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07988 0.07001 0.01336
2 1 0.00000 0.07470 0.06775 0.01315
3 2 0.00000 0.06942 0.06467 0.01271
4 3 0.00000 0.06406 0.06099 0.01186
5 4 0.00000 0.05956 0.05749 0.01072
6 5 0.00000 0.05578 0.05408 0.00933
7 6 0.00000 0.05280 0.05084 0.00772
8 7 0.00000 0.05061 0.04765 0.00584
9 8 0.00000 0.04887 0.04434 0.00366
10 9 0.00000 0.04733 0.04074 0.00126
# i 91 more rows
Code
log(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07988 0.07001 0.01336
2 1 0.00000 0.07470 0.06775 0.01315
3 2 0.00000 0.06942 0.06467 0.01271
4 3 0.00000 0.06406 0.06099 0.01186
5 4 0.00000 0.05956 0.05749 0.01072
6 5 0.00000 0.05578 0.05408 0.00933
7 6 0.00000 0.05280 0.05084 0.00772
8 7 0.00000 0.05061 0.04765 0.00584
9 8 0.00000 0.04887 0.04434 0.00366
10 9 0.00000 0.04733 0.04074 0.00126
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08299 0.07385 0.00996
2 1 0.00000 0.07741 0.07133 0.01037
3 2 0.00000 0.07183 0.06841 0.01061
4 3 0.00000 0.06608 0.06499 0.01049
5 4 0.00000 0.06040 0.06132 0.01007
6 5 0.00000 0.05531 0.05762 0.00928
7 6 0.00000 0.05147 0.05423 0.00811
8 7 0.00000 0.04853 0.05084 0.00655
9 8 0.00000 0.04625 0.04727 0.00461
10 9 0.00000 0.04445 0.04347 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09972 0.06286 -0.02978
2 1 0.00000 0.09410 0.06362 -0.02948
3 2 0.00000 0.08761 0.06348 -0.02837
4 3 0.00000 0.08021 0.06266 -0.02701
5 4 0.00000 0.07323 0.06145 -0.02555
6 5 0.00000 0.06713 0.05986 -0.02426
7 6 0.00000 0.06191 0.05789 -0.02308
8 7 0.00000 0.05769 0.05550 -0.02201
9 8 0.00000 0.05431 0.05262 -0.02106
10 9 0.00000 0.05155 0.04920 -0.02022
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09692 0.06323 -0.03172
2 1 0.00000 0.09120 0.06417 -0.03089
3 2 0.00000 0.08503 0.06404 -0.02976
4 3 0.00000 0.07835 0.06335 -0.02842
5 4 0.00000 0.07172 0.06217 -0.02700
6 5 0.00000 0.06579 0.06061 -0.02568
7 6 0.00000 0.06083 0.05869 -0.02450
8 7 0.00000 0.05699 0.05640 -0.02350
9 8 0.00000 0.05407 0.05364 -0.02260
10 9 0.00000 0.05192 0.05018 -0.02184
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08069 0.07040 0.01618
2 1 0.00000 0.07571 0.06834 0.01538
3 2 0.00000 0.07097 0.06577 0.01508
4 3 0.00000 0.06638 0.06255 0.01463
5 4 0.00000 0.06210 0.05907 0.01381
6 5 0.00000 0.05816 0.05547 0.01260
7 6 0.00000 0.05471 0.05189 0.01103
8 7 0.00000 0.05200 0.04848 0.00913
9 8 0.00000 0.04998 0.04511 0.00692
10 9 0.00000 0.04840 0.04160 0.00449
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08824 0.07403 0.01486
2 1 0.00000 0.08261 0.07383 0.01452
3 2 0.00000 0.07708 0.07198 0.01453
4 3 0.00000 0.07135 0.06891 0.01447
5 4 0.00000 0.06577 0.06526 0.01414
6 5 0.00000 0.06079 0.06160 0.01355
7 6 0.00000 0.05655 0.05806 0.01260
8 7 0.00000 0.05357 0.05481 0.01113
9 8 0.00000 0.05154 0.05162 0.00923
10 9 0.00000 0.05000 0.04819 0.00688
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07372 0.03620 -0.04877
2 1 0.00000 0.07010 0.03840 -0.04850
3 2 0.00000 0.06692 0.04071 -0.04786
4 3 0.00000 0.06378 0.04269 -0.04669
5 4 0.00000 0.06053 0.04415 -0.04522
6 5 0.00000 0.05731 0.04508 -0.04350
7 6 0.00000 0.05420 0.04562 -0.04144
8 7 0.00000 0.05147 0.04531 -0.03935
9 8 0.00000 0.04921 0.04417 -0.03731
10 9 0.00000 0.04720 0.04248 -0.03533
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06920 0.04694 -0.05384
2 1 0.00000 0.06673 0.04896 -0.05166
3 2 0.00000 0.06365 0.05111 -0.04900
4 3 0.00000 0.06035 0.05265 -0.04634
5 4 0.00000 0.05701 0.05350 -0.04376
6 5 0.00000 0.05382 0.05353 -0.04129
7 6 0.00000 0.05109 0.05252 -0.03902
8 7 0.00000 0.04882 0.05052 -0.03692
9 8 0.00000 0.04705 0.04762 -0.03494
10 9 0.00000 0.04561 0.04393 -0.03306
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08389 0.06404 0.02336
2 1 0.00000 0.07736 0.06357 0.02452
3 2 0.00000 0.06987 0.06182 0.02529
4 3 0.00000 0.06153 0.05877 0.02565
5 4 0.00000 0.05354 0.05500 0.02536
6 5 0.00000 0.04650 0.05089 0.02436
7 6 0.00000 0.04118 0.04683 0.02249
8 7 0.00000 0.03773 0.04323 0.01982
9 8 0.00000 0.03584 0.04023 0.01637
10 9 0.00000 0.03489 0.03796 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08175 0.06777 0.02297
2 1 0.00000 0.07407 0.06805 0.02381
3 2 0.00000 0.06619 0.06665 0.02476
4 3 0.00000 0.05827 0.06381 0.02524
5 4 0.00000 0.05046 0.06015 0.02513
6 5 0.00000 0.04348 0.05616 0.02431
7 6 0.00000 0.03787 0.05223 0.02267
8 7 0.00000 0.03413 0.04876 0.02031
9 8 0.00000 0.03206 0.04582 0.01738
10 9 0.00000 0.03143 0.04350 0.01396
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09146 0.06222 0.01491
2 1 0.00000 0.08400 0.06468 0.01548
3 2 0.00000 0.07675 0.06619 0.01616
4 3 0.00000 0.07020 0.06640 0.01669
5 4 0.00000 0.06511 0.06537 0.01689
6 5 0.00000 0.06124 0.06309 0.01669
7 6 0.00000 0.05824 0.05937 0.01606
8 7 0.00000 0.05539 0.05448 0.01510
9 8 0.00000 0.05270 0.04903 0.01383
10 9 0.00000 0.05027 0.04373 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09118 0.06255 0.01473
2 1 0.00000 0.08347 0.06589 0.01535
3 2 0.00000 0.07602 0.06799 0.01638
4 3 0.00000 0.06938 0.06849 0.01742
5 4 0.00000 0.06373 0.06705 0.01833
6 5 0.00000 0.05863 0.06386 0.01906
7 6 0.00000 0.05413 0.05932 0.01935
8 7 0.00000 0.05021 0.05402 0.01916
9 8 0.00000 0.04720 0.04868 0.01833
10 9 0.00000 0.04508 0.04433 0.01689
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.05089 0.07130 0.02994
2 1 0.00000 0.04737 0.06860 0.03024
3 2 0.00000 0.04351 0.06432 0.03062
4 3 0.00000 0.04023 0.06055 0.03027
5 4 0.00000 0.03772 0.05748 0.02921
6 5 0.00000 0.03614 0.05524 0.02741
7 6 0.00000 0.03524 0.05367 0.02509
8 7 0.00000 0.03472 0.05253 0.02239
9 8 0.00000 0.03415 0.05152 0.01938
10 9 0.00000 0.03315 0.05044 0.01625
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.05739 0.07197 0.02943
2 1 0.00000 0.05391 0.07004 0.03033
3 2 0.00000 0.04984 0.06734 0.03080
4 3 0.00000 0.04609 0.06406 0.03069
5 4 0.00000 0.04299 0.06066 0.02994
6 5 0.00000 0.04074 0.05746 0.02852
7 6 0.00000 0.03938 0.05457 0.02650
8 7 0.00000 0.03866 0.05195 0.02409
9 8 0.00000 0.03813 0.04952 0.02145
10 9 0.00000 0.03733 0.04715 0.01870
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.04770 0.07868 0.00968
2 1 0.00000 0.04326 0.07672 0.01101
3 2 0.00000 0.03921 0.07362 0.01214
4 3 0.00000 0.03579 0.06971 0.01264
5 4 0.00000 0.03315 0.06543 0.01246
6 5 0.00000 0.03148 0.06120 0.01155
7 6 0.00000 0.03070 0.05720 0.00996
8 7 0.00000 0.03048 0.05355 0.00792
9 8 0.00000 0.03049 0.05029 0.00565
10 9 0.00000 0.03028 0.04745 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.05960 0.07897 0.00835
2 1 0.00000 0.05426 0.07807 0.01000
3 2 0.00000 0.04965 0.07583 0.01140
4 3 0.00000 0.04561 0.07265 0.01229
5 4 0.00000 0.04235 0.06896 0.01264
6 5 0.00000 0.04000 0.06508 0.01236
7 6 0.00000 0.03861 0.06129 0.01145
8 7 0.00000 0.03787 0.05763 0.00996
9 8 0.00000 0.03743 0.05404 0.00803
10 9 0.00000 0.03683 0.05042 0.00591
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06364 0.03547 0.04607
2 1 0.00000 0.05928 0.03562 0.04491
3 2 0.00000 0.05527 0.03521 0.04357
4 3 0.00000 0.05125 0.03481 0.04195
5 4 0.00000 0.04743 0.03446 0.04014
6 5 0.00000 0.04386 0.03428 0.03800
7 6 0.00000 0.04068 0.03425 0.03556
8 7 0.00000 0.03782 0.03429 0.03284
9 8 0.00000 0.03512 0.03438 0.02994
10 9 0.00000 0.03248 0.03449 0.02694
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06305 0.03605 0.05031
2 1 0.00000 0.05826 0.03515 0.04928
3 2 0.00000 0.05382 0.03417 0.04799
4 3 0.00000 0.04967 0.03345 0.04632
5 4 0.00000 0.04595 0.03297 0.04438
6 5 0.00000 0.04265 0.03262 0.04205
7 6 0.00000 0.03986 0.03235 0.03937
8 7 0.00000 0.03754 0.03221 0.03641
9 8 0.00000 0.03525 0.03218 0.03316
10 9 0.00000 0.03298 0.03213 0.02985
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08772 0.06125 0.00737
2 1 0.00000 0.08397 0.06256 0.00784
3 2 0.00000 0.08013 0.06268 0.00849
4 3 0.00000 0.07579 0.06154 0.00927
5 4 0.00000 0.07119 0.05959 0.00999
6 5 0.00000 0.06649 0.05701 0.01056
7 6 0.00000 0.06194 0.05400 0.01083
8 7 0.00000 0.05754 0.05059 0.01065
9 8 0.00000 0.05346 0.04680 0.00994
10 9 0.00000 0.04979 0.04284 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07986 0.07210 0.01189
2 1 0.00000 0.07452 0.07054 0.01250
3 2 0.00000 0.06942 0.06803 0.01332
4 3 0.00000 0.06424 0.06491 0.01378
5 4 0.00000 0.05947 0.06158 0.01373
6 5 0.00000 0.05549 0.05822 0.01314
7 6 0.00000 0.05217 0.05476 0.01210
8 7 0.00000 0.04918 0.05097 0.01067
9 8 0.00000 0.04644 0.04677 0.00886
10 9 0.00000 0.04386 0.04236 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07787 0.04217 0.04341
2 1 0.00000 0.07228 0.04130 0.04290
3 2 0.00000 0.06728 0.04026 0.04228
4 3 0.00000 0.06243 0.03939 0.04126
5 4 0.00000 0.05803 0.03873 0.03982
6 5 0.00000 0.05396 0.03833 0.03786
7 6 0.00000 0.05017 0.03811 0.03538
8 7 0.00000 0.04655 0.03800 0.03256
9 8 0.00000 0.04313 0.03797 0.02962
10 9 0.00000 0.03968 0.03799 0.02658
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.07083 0.04544 0.04030
2 1 0.00000 0.06599 0.04402 0.04003
3 2 0.00000 0.06085 0.04249 0.03935
4 3 0.00000 0.05582 0.04135 0.03822
5 4 0.00000 0.05142 0.04075 0.03663
6 5 0.00000 0.04764 0.04046 0.03461
7 6 0.00000 0.04434 0.04022 0.03211
8 7 0.00000 0.04157 0.04003 0.02937
9 8 0.00000 0.03895 0.03986 0.02647
10 9 0.00000 0.03606 0.03961 0.02343
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08735 0.06517 0.01473
2 1 0.00000 0.08311 0.06594 0.01520
3 2 0.00000 0.07912 0.06543 0.01619
4 3 0.00000 0.07483 0.06383 0.01726
5 4 0.00000 0.07024 0.06135 0.01816
6 5 0.00000 0.06564 0.05831 0.01868
7 6 0.00000 0.06114 0.05487 0.01856
8 7 0.00000 0.05692 0.05125 0.01792
9 8 0.00000 0.05296 0.04734 0.01674
10 9 0.00000 0.04926 0.04312 0.01500
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08645 0.07239 0.01582
2 1 0.00000 0.08182 0.07259 0.01576
3 2 0.00000 0.07793 0.07215 0.01646
4 3 0.00000 0.07385 0.07065 0.01719
5 4 0.00000 0.06945 0.06819 0.01789
6 5 0.00000 0.06492 0.06501 0.01835
7 6 0.00000 0.06042 0.06129 0.01841
8 7 0.00000 0.05625 0.05729 0.01791
9 8 0.00000 0.05235 0.05297 0.01689
10 9 0.00000 0.04872 0.04835 0.01537
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06293 0.04833 0.00875
2 1 0.00000 0.06216 0.04591 0.00789
3 2 0.00000 0.06000 0.04236 0.00712
4 3 0.00000 0.05697 0.03839 0.00643
5 4 0.00000 0.05314 0.03409 0.00576
6 5 0.00000 0.04837 0.02947 0.00511
7 6 0.00000 0.04247 0.02454 0.00458
8 7 0.00000 0.03588 0.01970 0.00403
9 8 0.00000 0.02881 0.01491 0.00350
10 9 0.00000 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06787 0.07127 0.01240
2 1 0.00000 0.06462 0.06745 0.01333
3 2 0.00000 0.06122 0.06364 0.01386
4 3 0.00000 0.05778 0.06007 0.01414
5 4 0.00000 0.05407 0.05674 0.01413
6 5 0.00000 0.05096 0.05385 0.01388
7 6 0.00000 0.04858 0.05138 0.01329
8 7 0.00000 0.04655 0.04889 0.01244
9 8 0.00000 0.04486 0.04619 0.01135
10 9 0.00000 0.04327 0.04332 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.02819 0.06437 -0.02135
2 1 0.00000 0.02691 0.06132 -0.01879
3 2 0.00000 0.02635 0.05773 -0.01655
4 3 0.00000 0.02659 0.05423 -0.01503
5 4 0.00000 0.02741 0.05072 -0.01394
6 5 0.00000 0.02873 0.04737 -0.01333
7 6 0.00000 0.03009 0.04432 -0.01323
8 7 0.00000 0.03114 0.04129 -0.01345
9 8 0.00000 0.03180 0.03809 -0.01382
10 9 0.00000 0.03199 0.03463 -0.01418
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.04003 0.06910 -0.02854
2 1 0.00000 0.03670 0.06745 -0.02650
3 2 0.00000 0.03468 0.06535 -0.02423
4 3 0.00000 0.03348 0.06296 -0.02205
5 4 0.00000 0.03319 0.06063 -0.02018
6 5 0.00000 0.03377 0.05836 -0.01884
7 6 0.00000 0.03490 0.05591 -0.01793
8 7 0.00000 0.03629 0.05329 -0.01755
9 8 0.00000 0.03744 0.05033 -0.01768
10 9 0.00000 0.03817 0.04699 -0.01811
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.03636 0.07536 -0.00826
2 1 0.00000 0.03466 0.07239 -0.00561
3 2 0.00000 0.03275 0.06886 -0.00297
4 3 0.00000 0.03148 0.06550 -0.00080
5 4 0.00000 0.03087 0.06273 0.00070
6 5 0.00000 0.03092 0.06064 0.00141
7 6 0.00000 0.03137 0.05877 0.00149
8 7 0.00000 0.03197 0.05683 0.00109
9 8 0.00000 0.03246 0.05449 0.00039
10 9 0.00000 0.03264 0.05158 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.03340 0.07627 -0.00600
2 1 0.00000 0.03333 0.07353 -0.00403
3 2 0.00000 0.03194 0.07098 -0.00210
4 3 0.00000 0.03107 0.06833 -0.00061
5 4 0.00000 0.03084 0.06590 0.00031
6 5 0.00000 0.03113 0.06355 0.00068
7 6 0.00000 0.03179 0.06124 0.00052
8 7 0.00000 0.03252 0.05870 0.00002
9 8 0.00000 0.03307 0.05574 -0.00068
10 9 0.00000 0.03326 0.05219 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.02606 0.06468 -0.03513
2 1 0.00000 0.02466 0.06378 -0.03208
3 2 0.00000 0.02392 0.06257 -0.02934
4 3 0.00000 0.02363 0.06095 -0.02704
5 4 0.00000 0.02392 0.05905 -0.02533
6 5 0.00000 0.02466 0.05697 -0.02414
7 6 0.00000 0.02555 0.05457 -0.02318
8 7 0.00000 0.02643 0.05180 -0.02239
9 8 0.00000 0.02704 0.04848 -0.02165
10 9 0.00000 0.02731 0.04464 -0.02078
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.02191 0.06459 -0.03156
2 1 0.00000 0.02054 0.06284 -0.02951
3 2 0.00000 0.02024 0.06118 -0.02758
4 3 0.00000 0.02045 0.05949 -0.02601
5 4 0.00000 0.02125 0.05762 -0.02491
6 5 0.00000 0.02245 0.05534 -0.02416
7 6 0.00000 0.02385 0.05255 -0.02359
8 7 0.00000 0.02527 0.04918 -0.02305
9 8 0.00000 0.02652 0.04520 -0.02246
10 9 0.00000 0.02733 0.04073 -0.02169
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12479 0.00929 0.04877
2 1 0.00000 0.11974 0.01259 0.04936
3 2 0.00000 0.11487 0.01609 0.04976
4 3 0.00000 0.11015 0.01933 0.04970
5 4 0.00000 0.10586 0.02237 0.04924
6 5 0.00000 0.10212 0.02531 0.04839
7 6 0.00000 0.09882 0.02808 0.04704
8 7 0.00000 0.09574 0.03061 0.04519
9 8 0.00000 0.09267 0.03288 0.04283
10 9 0.00000 0.08956 0.03487 0.04000
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11116 0.00763 0.04540
2 1 0.00000 0.10863 0.01073 0.04583
3 2 0.00000 0.10539 0.01365 0.04547
4 3 0.00000 0.10239 0.01650 0.04455
5 4 0.00000 0.09990 0.01910 0.04308
6 5 0.00000 0.09756 0.02149 0.04110
7 6 0.00000 0.09509 0.02370 0.03862
8 7 0.00000 0.09236 0.02544 0.03568
9 8 0.00000 0.08934 0.02672 0.03251
10 9 0.00000 0.08609 0.02766 0.02913
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12394 0.04408 0.04480
2 1 0.00000 0.11938 0.04579 0.04376
3 2 0.00000 0.11488 0.04694 0.04211
4 3 0.00000 0.11065 0.04744 0.04021
5 4 0.00000 0.10704 0.04741 0.03807
6 5 0.00000 0.10427 0.04674 0.03572
7 6 0.00000 0.10180 0.04543 0.03305
8 7 0.00000 0.09965 0.04356 0.03027
9 8 0.00000 0.09750 0.04097 0.02722
10 9 0.00000 0.09516 0.03756 0.02384
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12101 0.05276 0.04619
2 1 0.00000 0.11609 0.05421 0.04425
3 2 0.00000 0.11117 0.05518 0.04215
4 3 0.00000 0.10675 0.05517 0.03994
5 4 0.00000 0.10302 0.05425 0.03765
6 5 0.00000 0.09982 0.05233 0.03514
7 6 0.00000 0.09685 0.04949 0.03233
8 7 0.00000 0.09411 0.04585 0.02920
9 8 0.00000 0.09146 0.04165 0.02586
10 9 0.00000 0.08883 0.03697 0.02241
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11911 0.00200 0.04189
2 1 0.00000 0.11488 0.00593 0.04393
3 2 0.00000 0.11024 0.00988 0.04580
4 3 0.00000 0.10591 0.01389 0.04698
5 4 0.00000 0.10252 0.01758 0.04744
6 5 0.00000 0.09988 0.02118 0.04733
7 6 0.00000 0.09762 0.02466 0.04664
8 7 0.00000 0.09542 0.02800 0.04529
9 8 0.00000 0.09299 0.03119 0.04328
10 9 0.00000 0.09035 0.03405 0.04075
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11739 0.00974 0.03784
2 1 0.00000 0.11299 0.01374 0.03900
3 2 0.00000 0.10870 0.01723 0.03961
4 3 0.00000 0.10463 0.02016 0.03957
5 4 0.00000 0.10078 0.02297 0.03898
6 5 0.00000 0.09693 0.02566 0.03781
7 6 0.00000 0.09307 0.02810 0.03617
8 7 0.00000 0.08938 0.03025 0.03412
9 8 0.00000 0.08567 0.03214 0.03161
10 9 0.00000 0.08179 0.03382 0.02862
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12902 0.02490 0.05023
2 1 0.00000 0.12673 0.02810 0.04908
3 2 0.00000 0.12320 0.03037 0.04809
4 3 0.00000 0.11955 0.03179 0.04668
5 4 0.00000 0.11616 0.03232 0.04489
6 5 0.00000 0.11309 0.03187 0.04266
7 6 0.00000 0.11020 0.03078 0.04007
8 7 0.00000 0.10726 0.02909 0.03708
9 8 0.00000 0.10416 0.02684 0.03369
10 9 0.00000 0.10106 0.02424 0.03020
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.13574 0.03507 0.04748
2 1 0.00000 0.13031 0.03974 0.04645
3 2 0.00000 0.12543 0.04281 0.04521
4 3 0.00000 0.12129 0.04459 0.04373
5 4 0.00000 0.11784 0.04519 0.04198
6 5 0.00000 0.11493 0.04462 0.03987
7 6 0.00000 0.11237 0.04289 0.03737
8 7 0.00000 0.10999 0.04017 0.03450
9 8 0.00000 0.10750 0.03654 0.03124
10 9 0.00000 0.10485 0.03224 0.02773
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11075 0.04919 0.03535
2 1 0.00000 0.10829 0.05013 0.03386
3 2 0.00000 0.10544 0.05034 0.03212
4 3 0.00000 0.10262 0.04956 0.03016
5 4 0.00000 0.10002 0.04775 0.02788
6 5 0.00000 0.09771 0.04502 0.02532
7 6 0.00000 0.09552 0.04177 0.02246
8 7 0.00000 0.09331 0.03822 0.01926
9 8 0.00000 0.09097 0.03451 0.01592
10 9 0.00000 0.08822 0.03063 0.01244
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11859 0.04730 0.02482
2 1 0.00000 0.11319 0.04708 0.02348
3 2 0.00000 0.10882 0.04603 0.02192
4 3 0.00000 0.10539 0.04455 0.02012
5 4 0.00000 0.10277 0.04280 0.01810
6 5 0.00000 0.10066 0.04077 0.01587
7 6 0.00000 0.09867 0.03846 0.01340
8 7 0.00000 0.09672 0.03592 0.01082
9 8 0.00000 0.09450 0.03302 0.00822
10 9 0.00000 0.09161 0.02964 0.00547
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.13172 0.07200 0.01361
2 1 0.00000 0.12448 0.07224 0.01167
3 2 0.00000 0.11771 0.07196 0.00999
4 3 0.00000 0.11176 0.07111 0.00858
5 4 0.00000 0.10693 0.06976 0.00728
6 5 0.00000 0.10303 0.06788 0.00603
7 6 0.00000 0.09988 0.06556 0.00483
8 7 0.00000 0.09735 0.06273 0.00367
9 8 0.00000 0.09505 0.05918 0.00251
10 9 0.00000 0.09270 0.05490 0.00138
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.12313 0.07343 0.01332
2 1 0.00000 0.11600 0.07351 0.01114
3 2 0.00000 0.11074 0.07316 0.00962
4 3 0.00000 0.10685 0.07243 0.00835
5 4 0.00000 0.10396 0.07115 0.00718
6 5 0.00000 0.10146 0.06925 0.00605
7 6 0.00000 0.09911 0.06655 0.00504
8 7 0.00000 0.09678 0.06317 0.00418
9 8 0.00000 0.09440 0.05918 0.00353
10 9 0.00000 0.09189 0.05474 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11302 0.04802 0.03102
2 1 0.00000 0.10811 0.05019 0.02979
3 2 0.00000 0.10315 0.05169 0.02836
4 3 0.00000 0.09881 0.05249 0.02672
5 4 0.00000 0.09521 0.05264 0.02486
6 5 0.00000 0.09238 0.05228 0.02270
7 6 0.00000 0.09012 0.05151 0.02032
8 7 0.00000 0.08812 0.05039 0.01780
9 8 0.00000 0.08632 0.04885 0.01520
10 9 0.00000 0.08460 0.04691 0.01255
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11145 0.03932 0.02652
2 1 0.00000 0.10709 0.04267 0.02476
3 2 0.00000 0.10181 0.04557 0.02298
4 3 0.00000 0.09696 0.04762 0.02129
5 4 0.00000 0.09247 0.04875 0.01950
6 5 0.00000 0.08869 0.04921 0.01757
7 6 0.00000 0.08560 0.04931 0.01537
8 7 0.00000 0.08331 0.04895 0.01284
9 8 0.00000 0.08167 0.04820 0.01016
10 9 0.00000 0.08029 0.04711 0.00718
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.11295 0.06035 0.02329
2 1 0.00000 0.10708 0.06184 0.02191
3 2 0.00000 0.10059 0.06314 0.02012
4 3 0.00000 0.09529 0.06333 0.01826
5 4 0.00000 0.09120 0.06281 0.01627
6 5 0.00000 0.08823 0.06179 0.01417
7 6 0.00000 0.08584 0.06030 0.01202
8 7 0.00000 0.08376 0.05822 0.00982
9 8 0.00000 0.08201 0.05551 0.00771
10 9 0.00000 0.08042 0.05235 0.00576
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.10194 0.05078 0.02312
2 1 0.00000 0.09713 0.05335 0.02085
3 2 0.00000 0.09261 0.05573 0.01893
4 3 0.00000 0.08879 0.05700 0.01719
5 4 0.00000 0.08571 0.05727 0.01557
6 5 0.00000 0.08332 0.05682 0.01407
7 6 0.00000 0.08145 0.05581 0.01269
8 7 0.00000 0.08027 0.05419 0.01135
9 8 0.00000 0.07956 0.05215 0.01006
10 9 0.00000 0.07898 0.04979 0.00878
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14997 0.03639 0.03880
2 1 0.00000 0.14263 0.03872 0.03789
3 2 0.00000 0.13462 0.03995 0.03664
4 3 0.00000 0.12791 0.03963 0.03516
5 4 0.00000 0.12292 0.03833 0.03333
6 5 0.00000 0.11914 0.03631 0.03096
7 6 0.00000 0.11650 0.03363 0.02790
8 7 0.00000 0.11451 0.03046 0.02425
9 8 0.00000 0.11294 0.02707 0.02028
10 9 0.00000 0.11175 0.02357 0.01629
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14488 0.02988 0.04404
2 1 0.00000 0.13815 0.03189 0.04273
3 2 0.00000 0.13218 0.03263 0.04100
4 3 0.00000 0.12635 0.03208 0.03880
5 4 0.00000 0.12129 0.03072 0.03608
6 5 0.00000 0.11758 0.02890 0.03313
7 6 0.00000 0.11501 0.02669 0.03001
8 7 0.00000 0.11287 0.02398 0.02653
9 8 0.00000 0.11099 0.02057 0.02258
10 9 0.00000 0.10925 0.01661 0.01848
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15763 0.06424 0.00998
2 1 0.00000 0.15085 0.06474 0.00803
3 2 0.00000 0.14264 0.06511 0.00637
4 3 0.00000 0.13452 0.06504 0.00501
5 4 0.00000 0.12744 0.06448 0.00384
6 5 0.00000 0.12158 0.06339 0.00273
7 6 0.00000 0.11698 0.06169 0.00160
8 7 0.00000 0.11354 0.05929 0.00049
9 8 0.00000 0.11088 0.05594 -0.00067
10 9 0.00000 0.10873 0.05195 -0.00185
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15813 0.07688 0.01357
2 1 0.00000 0.15081 0.07753 0.01166
3 2 0.00000 0.14280 0.07785 0.00981
4 3 0.00000 0.13466 0.07790 0.00832
5 4 0.00000 0.12706 0.07737 0.00684
6 5 0.00000 0.12074 0.07601 0.00519
7 6 0.00000 0.11566 0.07384 0.00338
8 7 0.00000 0.11181 0.07104 0.00163
9 8 0.00000 0.10905 0.06781 0.00008
10 9 0.00000 0.10671 0.06404 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14799 0.03294 0.02931
2 1 0.00000 0.14257 0.03668 0.02879
3 2 0.00000 0.13630 0.03876 0.02780
4 3 0.00000 0.13046 0.03919 0.02645
5 4 0.00000 0.12564 0.03830 0.02462
6 5 0.00000 0.12190 0.03655 0.02240
7 6 0.00000 0.11881 0.03407 0.01975
8 7 0.00000 0.11637 0.03093 0.01661
9 8 0.00000 0.11444 0.02721 0.01301
10 9 0.00000 0.11271 0.02324 0.00924
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.14999 0.03631 0.03794
2 1 0.00000 0.14471 0.03904 0.03699
3 2 0.00000 0.13838 0.04086 0.03583
4 3 0.00000 0.13284 0.04101 0.03432
5 4 0.00000 0.12769 0.03972 0.03228
6 5 0.00000 0.12349 0.03763 0.02981
7 6 0.00000 0.12045 0.03503 0.02697
8 7 0.00000 0.11837 0.03196 0.02360
9 8 0.00000 0.11673 0.02830 0.01964
10 9 0.00000 0.11535 0.02427 0.01525
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15765 0.05132 0.00548
2 1 0.00000 0.15042 0.05434 0.00402
3 2 0.00000 0.14263 0.05635 0.00327
4 3 0.00000 0.13543 0.05781 0.00281
5 4 0.00000 0.12916 0.05865 0.00239
6 5 0.00000 0.12363 0.05864 0.00178
7 6 0.00000 0.11913 0.05742 0.00084
8 7 0.00000 0.11537 0.05507 -0.00049
9 8 0.00000 0.11213 0.05173 -0.00204
10 9 0.00000 0.10955 0.04785 -0.00342
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.15904 0.05959 0.00490
2 1 0.00000 0.15237 0.06281 0.00295
3 2 0.00000 0.14461 0.06458 0.00149
4 3 0.00000 0.13682 0.06584 0.00054
5 4 0.00000 0.12968 0.06655 -0.00025
6 5 0.00000 0.12345 0.06654 -0.00110
7 6 0.00000 0.11849 0.06544 -0.00211
8 7 0.00000 0.11468 0.06308 -0.00323
9 8 0.00000 0.11176 0.05979 -0.00435
10 9 0.00000 0.10932 0.05567 -0.00552
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.06744 0.01866 -0.02188
2 1 0.00000 0.06442 0.01996 -0.02325
3 2 0.00000 0.06105 0.02122 -0.02483
4 3 0.00000 0.05806 0.02229 -0.02625
5 4 0.00000 0.05481 0.02352 -0.02771
6 5 0.00000 0.05178 0.02458 -0.02932
7 6 0.00000 0.04891 0.02531 -0.03103
8 7 0.00000 0.04581 0.02604 -0.03280
9 8 0.00000 0.04300 0.02664 -0.03468
10 9 0.00000 0.03985 0.02732 -0.03651
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09275 0.01310 0.00710
2 1 0.00000 0.08943 0.01561 0.00662
3 2 0.00000 0.08603 0.01747 0.00592
4 3 0.00000 0.08311 0.01884 0.00497
5 4 0.00000 0.08091 0.01990 0.00377
6 5 0.00000 0.07908 0.02064 0.00225
7 6 0.00000 0.07737 0.02104 0.00036
8 7 0.00000 0.07567 0.02114 -0.00186
9 8 0.00000 0.07411 0.02085 -0.00432
10 9 0.00000 0.07245 0.02030 -0.00699
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08764 0.06589 0.00953
2 1 0.00000 0.08152 0.06628 0.00959
3 2 0.00000 0.07626 0.06615 0.00955
4 3 0.00000 0.07240 0.06504 0.00925
5 4 0.00000 0.06990 0.06338 0.00857
6 5 0.00000 0.06843 0.06113 0.00733
7 6 0.00000 0.06743 0.05800 0.00566
8 7 0.00000 0.06664 0.05412 0.00360
9 8 0.00000 0.06601 0.04972 0.00128
10 9 0.00000 0.06571 0.04516 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.08405 0.06611 0.00855
2 1 0.00000 0.08121 0.06565 0.00754
3 2 0.00000 0.07837 0.06490 0.00681
4 3 0.00000 0.07638 0.06339 0.00574
5 4 0.00000 0.07514 0.06135 0.00435
6 5 0.00000 0.07435 0.05858 0.00268
7 6 0.00000 0.07386 0.05539 0.00084
8 7 0.00000 0.07353 0.05153 -0.00121
9 8 0.00000 0.07316 0.04704 -0.00327
10 9 0.00000 0.07273 0.04222 -0.00520
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09938 0.03381 0.01291
2 1 0.00000 0.09651 0.03724 0.01211
3 2 0.00000 0.09326 0.03940 0.01106
4 3 0.00000 0.08995 0.04076 0.00957
5 4 0.00000 0.08687 0.04171 0.00769
6 5 0.00000 0.08404 0.04253 0.00547
7 6 0.00000 0.08160 0.04332 0.00294
8 7 0.00000 0.07928 0.04403 0.00006
9 8 0.00000 0.07691 0.04460 -0.00306
10 9 0.00000 0.07441 0.04507 -0.00644
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09821 0.03656 0.00845
2 1 0.00000 0.09399 0.03997 0.00821
3 2 0.00000 0.09021 0.04282 0.00742
4 3 0.00000 0.08717 0.04479 0.00615
5 4 0.00000 0.08462 0.04618 0.00436
6 5 0.00000 0.08225 0.04705 0.00214
7 6 0.00000 0.07987 0.04765 -0.00037
8 7 0.00000 0.07737 0.04798 -0.00315
9 8 0.00000 0.07472 0.04807 -0.00609
10 9 0.00000 0.07184 0.04798 -0.00915
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.09465 0.06034 0.00781
2 1 0.00000 0.08827 0.06032 0.00795
3 2 0.00000 0.08330 0.05989 0.00747
4 3 0.00000 0.07916 0.05838 0.00662
5 4 0.00000 0.07589 0.05616 0.00539
6 5 0.00000 0.07337 0.05349 0.00378
7 6 0.00000 0.07135 0.05032 0.00181
8 7 0.00000 0.06966 0.04685 -0.00032
9 8 0.00000 0.06809 0.04302 -0.00255
10 9 0.00000 0.06648 0.03886 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.00000 0.10308 0.06123 0.01024
2 1 0.00000 0.09724 0.06230 0.01075
3 2 0.00000 0.09210 0.06198 0.01044
4 3 0.00000 0.08797 0.06034 0.00958
5 4 0.00000 0.08484 0.05796 0.00817
6 5 0.00000 0.08261 0.05517 0.00620
7 6 0.00000 0.08085 0.05193 0.00375
8 7 0.00000 0.07945 0.04830 0.00102
9 8 0.00000 0.07836 0.04446 -0.00173
10 9 0.00000 0.07748 0.04041 -0.00440
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function reorient() works
Code
reorient(vespa64$igp[[1]], disable_normalization = FALSE)
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
Code
reorient(vespa64$igp[[1]], disable_normalization = TRUE)
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
Code
reorient(vespa64$igp, disable_normalization = FALSE)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00562 -0.00244 0.00021
3 2 0.99992 -0.01124 -0.00530 0.00027
4 3 0.99982 -0.01701 -0.00867 0.00000
5 4 0.99967 -0.02269 -0.01233 -0.00054
6 5 0.99949 -0.02776 -0.01603 -0.00139
7 6 0.99931 -0.03155 -0.01949 -0.00256
8 7 0.99914 -0.03440 -0.02296 -0.00404
9 8 0.99896 -0.03658 -0.02667 -0.00584
10 9 0.99877 -0.03826 -0.03062 -0.00789
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00564 0.00059 -0.00011
3 2 0.99993 -0.01218 0.00035 0.00061
4 3 0.99981 -0.01962 -0.00058 0.00158
5 4 0.99964 -0.02664 -0.00187 0.00273
6 5 0.99945 -0.03276 -0.00353 0.00379
7 6 0.99925 -0.03799 -0.00553 0.00484
8 7 0.99906 -0.04220 -0.00794 0.00589
9 8 0.99888 -0.04556 -0.01082 0.00691
10 9 0.99870 -0.04827 -0.01423 0.00791
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00579 0.00081 0.00039
3 2 0.99993 -0.01201 0.00056 0.00114
4 3 0.99982 -0.01873 -0.00022 0.00213
5 4 0.99967 -0.02540 -0.00149 0.00325
6 5 0.99949 -0.03134 -0.00312 0.00434
7 6 0.99931 -0.03631 -0.00509 0.00540
8 7 0.99915 -0.04014 -0.00740 0.00638
9 8 0.99900 -0.04303 -0.01016 0.00736
10 9 0.99885 -0.04513 -0.01360 0.00832
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00494 -0.00206 -0.00098
3 2 0.99994 -0.00970 -0.00458 -0.00141
4 3 0.99987 -0.01431 -0.00776 -0.00193
5 4 0.99976 -0.01858 -0.01124 -0.00277
6 5 0.99963 -0.02249 -0.01487 -0.00396
7 6 0.99948 -0.02589 -0.01852 -0.00548
8 7 0.99932 -0.02853 -0.02203 -0.00729
9 8 0.99917 -0.03045 -0.02553 -0.00936
10 9 0.99900 -0.03193 -0.02921 -0.01161
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00017 -0.00074
3 2 0.99994 -0.01113 -0.00195 -0.00098
4 3 0.99984 -0.01690 -0.00495 -0.00120
5 4 0.99971 -0.02250 -0.00855 -0.00162
6 5 0.99955 -0.02749 -0.01218 -0.00226
7 6 0.99937 -0.03171 -0.01574 -0.00321
8 7 0.99921 -0.03463 -0.01907 -0.00460
9 8 0.99906 -0.03657 -0.02239 -0.00637
10 9 0.99890 -0.03799 -0.02599 -0.00851
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00372 0.00203 -0.00002
3 2 0.99997 -0.00703 0.00422 0.00034
4 3 0.99993 -0.01030 0.00611 0.00125
5 4 0.99988 -0.01367 0.00751 0.00249
6 5 0.99981 -0.01698 0.00839 0.00402
7 6 0.99974 -0.02019 0.00893 0.00593
8 7 0.99967 -0.02298 0.00863 0.00794
9 8 0.99960 -0.02526 0.00754 0.00998
10 9 0.99954 -0.02726 0.00590 0.01201
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00268 0.00201 0.00192
3 2 0.99996 -0.00599 0.00416 0.00427
4 3 0.99992 -0.00948 0.00570 0.00667
5 4 0.99985 -0.01298 0.00653 0.00903
6 5 0.99978 -0.01628 0.00655 0.01134
7 6 0.99971 -0.01907 0.00555 0.01355
8 7 0.99964 -0.02133 0.00358 0.01568
9 8 0.99958 -0.02304 0.00073 0.01778
10 9 0.99950 -0.02438 -0.00290 0.01985
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00660 -0.00025 0.00077
3 2 0.99990 -0.01415 -0.00177 0.00118
4 3 0.99973 -0.02258 -0.00460 0.00126
5 4 0.99950 -0.03063 -0.00822 0.00076
6 5 0.99921 -0.03769 -0.01225 -0.00035
7 6 0.99894 -0.04298 -0.01634 -0.00221
8 7 0.99871 -0.04634 -0.02008 -0.00479
9 8 0.99854 -0.04809 -0.02331 -0.00809
10 9 0.99840 -0.04885 -0.02588 -0.01184
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00770 0.00050 0.00029
3 2 0.99988 -0.01565 -0.00066 0.00080
4 3 0.99971 -0.02365 -0.00329 0.00096
5 4 0.99948 -0.03152 -0.00679 0.00061
6 5 0.99920 -0.03853 -0.01068 -0.00036
7 6 0.99892 -0.04411 -0.01461 -0.00205
8 7 0.99868 -0.04778 -0.01819 -0.00438
9 8 0.99851 -0.04972 -0.02131 -0.00718
10 9 0.99840 -0.05017 -0.02389 -0.01044
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00743 0.00259 -0.00012
3 2 0.99988 -0.01467 0.00423 -0.00004
4 3 0.99976 -0.02123 0.00456 0.00005
5 4 0.99965 -0.02633 0.00362 0.00003
6 5 0.99954 -0.03022 0.00138 -0.00020
7 6 0.99944 -0.03325 -0.00234 -0.00069
8 7 0.99932 -0.03613 -0.00726 -0.00137
9 8 0.99916 -0.03883 -0.01276 -0.00231
10 9 0.99898 -0.04125 -0.01816 -0.00357
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99996 -0.00766 0.00346 -0.00017
3 2 0.99987 -0.01511 0.00573 0.00019
4 3 0.99974 -0.02178 0.00640 0.00076
5 4 0.99961 -0.02750 0.00512 0.00144
6 5 0.99946 -0.03270 0.00207 0.00213
7 6 0.99930 -0.03729 -0.00237 0.00254
8 7 0.99912 -0.04127 -0.00761 0.00259
9 8 0.99893 -0.04432 -0.01296 0.00206
10 9 0.99877 -0.04643 -0.01740 0.00089
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00362 -0.00259 0.00018
3 2 0.99995 -0.00763 -0.00673 0.00050
4 3 0.99989 -0.01100 -0.01042 0.00009
5 4 0.99982 -0.01352 -0.01346 -0.00099
6 5 0.99976 -0.01504 -0.01575 -0.00278
7 6 0.99971 -0.01582 -0.01741 -0.00508
8 7 0.99966 -0.01619 -0.01868 -0.00774
9 8 0.99961 -0.01657 -0.01982 -0.01074
10 9 0.99953 -0.01739 -0.02103 -0.01387
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00359 -0.00178 0.00074
3 2 0.99996 -0.00776 -0.00434 0.00107
4 3 0.99990 -0.01160 -0.00752 0.00087
5 4 0.99983 -0.01474 -0.01087 0.00009
6 5 0.99976 -0.01698 -0.01408 -0.00131
7 6 0.99968 -0.01828 -0.01705 -0.00325
8 7 0.99961 -0.01892 -0.01978 -0.00555
9 8 0.99953 -0.01934 -0.02235 -0.00808
10 9 0.99943 -0.02001 -0.02485 -0.01075
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00455 -0.00186 0.00107
3 2 0.99995 -0.00871 -0.00487 0.00202
4 3 0.99988 -0.01221 -0.00872 0.00244
5 4 0.99980 -0.01487 -0.01299 0.00225
6 5 0.99971 -0.01651 -0.01724 0.00141
7 6 0.99962 -0.01722 -0.02130 -0.00004
8 7 0.99953 -0.01731 -0.02505 -0.00192
9 8 0.99944 -0.01717 -0.02841 -0.00403
10 9 0.99934 -0.01723 -0.03136 -0.00612
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00546 -0.00077 0.00127
3 2 0.99994 -0.01018 -0.00290 0.00243
4 3 0.99987 -0.01431 -0.00599 0.00319
5 4 0.99979 -0.01763 -0.00963 0.00349
6 5 0.99970 -0.01999 -0.01351 0.00326
7 6 0.99962 -0.02135 -0.01734 0.00246
8 7 0.99954 -0.02200 -0.02108 0.00114
9 8 0.99944 -0.02234 -0.02477 -0.00059
10 9 0.99933 -0.02280 -0.02850 -0.00254
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00430 0.00027 -0.00133
3 2 0.99996 -0.00829 -0.00005 -0.00280
4 3 0.99991 -0.01226 -0.00038 -0.00452
5 4 0.99985 -0.01603 -0.00067 -0.00646
6 5 0.99977 -0.01952 -0.00083 -0.00870
7 6 0.99968 -0.02262 -0.00087 -0.01125
8 7 0.99958 -0.02538 -0.00087 -0.01407
9 8 0.99946 -0.02796 -0.00085 -0.01707
10 9 0.99933 -0.03049 -0.00082 -0.02016
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00479 -0.00072 -0.00115
3 2 0.99995 -0.00922 -0.00157 -0.00254
4 3 0.99990 -0.01334 -0.00219 -0.00432
5 4 0.99983 -0.01701 -0.00261 -0.00636
6 5 0.99975 -0.02024 -0.00295 -0.00879
7 6 0.99966 -0.02295 -0.00325 -0.01155
8 7 0.99957 -0.02516 -0.00346 -0.01457
9 8 0.99946 -0.02734 -0.00359 -0.01790
10 9 0.99933 -0.02949 -0.00374 -0.02128
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00375 0.00135 0.00012
3 2 0.99997 -0.00762 0.00155 0.00052
4 3 0.99993 -0.01202 0.00050 0.00112
5 4 0.99986 -0.01666 -0.00136 0.00173
6 5 0.99976 -0.02142 -0.00385 0.00223
7 6 0.99964 -0.02600 -0.00680 0.00248
8 7 0.99948 -0.03042 -0.01020 0.00233
9 8 0.99931 -0.03448 -0.01401 0.00171
10 9 0.99911 -0.03812 -0.01803 0.00072
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00539 -0.00145 0.00035
3 2 0.99994 -0.01058 -0.00385 0.00098
4 3 0.99985 -0.01582 -0.00688 0.00132
5 4 0.99974 -0.02062 -0.01015 0.00118
6 5 0.99961 -0.02460 -0.01351 0.00058
7 6 0.99947 -0.02789 -0.01702 -0.00042
8 7 0.99931 -0.03082 -0.02088 -0.00176
9 8 0.99912 -0.03348 -0.02518 -0.00343
10 9 0.99890 -0.03597 -0.02971 -0.00526
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00068 -0.00068
3 2 0.99994 -0.01060 -0.00156 -0.00144
4 3 0.99987 -0.01544 -0.00230 -0.00261
5 4 0.99979 -0.01980 -0.00289 -0.00418
6 5 0.99969 -0.02380 -0.00327 -0.00628
7 6 0.99958 -0.02749 -0.00353 -0.00890
8 7 0.99944 -0.03099 -0.00371 -0.01185
9 8 0.99929 -0.03429 -0.00383 -0.01493
10 9 0.99912 -0.03760 -0.00390 -0.01810
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00488 -0.00124 -0.00039
3 2 0.99995 -0.01004 -0.00262 -0.00121
4 3 0.99988 -0.01505 -0.00365 -0.00249
5 4 0.99979 -0.01940 -0.00419 -0.00423
6 5 0.99970 -0.02310 -0.00448 -0.00641
7 6 0.99960 -0.02629 -0.00477 -0.00903
8 7 0.99950 -0.02894 -0.00505 -0.01188
9 8 0.99938 -0.03143 -0.00532 -0.01488
10 9 0.99924 -0.03420 -0.00568 -0.01802
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00424 0.00085 0.00012
3 2 0.99997 -0.00829 0.00048 0.00088
4 3 0.99992 -0.01267 -0.00097 0.00180
5 4 0.99984 -0.01735 -0.00330 0.00261
6 5 0.99973 -0.02202 -0.00623 0.00308
7 6 0.99960 -0.02657 -0.00961 0.00297
8 7 0.99944 -0.03079 -0.01322 0.00237
9 8 0.99925 -0.03474 -0.01717 0.00128
10 9 0.99903 -0.03840 -0.02148 -0.00032
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00460 0.00025 -0.00041
3 2 0.99996 -0.00854 -0.00008 0.00004
4 3 0.99992 -0.01269 -0.00146 0.00059
5 4 0.99984 -0.01717 -0.00379 0.00118
6 5 0.99974 -0.02178 -0.00686 0.00158
7 6 0.99960 -0.02633 -0.01050 0.00162
8 7 0.99943 -0.03054 -0.01447 0.00117
9 8 0.99923 -0.03443 -0.01881 0.00024
10 9 0.99900 -0.03803 -0.02349 -0.00114
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00076 -0.00245 -0.00075
3 2 0.99998 -0.00292 -0.00604 -0.00139
4 3 0.99993 -0.00595 -0.01002 -0.00198
5 4 0.99985 -0.00979 -0.01432 -0.00256
6 5 0.99971 -0.01456 -0.01894 -0.00315
7 6 0.99950 -0.02048 -0.02385 -0.00366
8 7 0.99921 -0.02708 -0.02866 -0.00422
9 8 0.99885 -0.03416 -0.03342 -0.00479
10 9 0.99840 -0.04155 -0.03808 -0.00538
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00336 -0.00371 0.00095
3 2 0.99995 -0.00684 -0.00744 0.00149
4 3 0.99988 -0.01035 -0.01095 0.00177
5 4 0.99980 -0.01410 -0.01423 0.00171
6 5 0.99970 -0.01722 -0.01710 0.00144
7 6 0.99962 -0.01959 -0.01959 0.00085
8 7 0.99952 -0.02159 -0.02210 0.00002
9 8 0.99942 -0.02324 -0.02485 -0.00101
10 9 0.99930 -0.02478 -0.02779 -0.00218
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00138 -0.00301 0.00256
3 2 0.99996 -0.00200 -0.00654 0.00486
4 3 0.99993 -0.00180 -0.01000 0.00649
5 4 0.99988 -0.00098 -0.01345 0.00773
6 5 0.99982 0.00037 -0.01676 0.00852
7 6 0.99976 0.00178 -0.01977 0.00879
8 7 0.99970 0.00290 -0.02278 0.00873
9 8 0.99962 0.00366 -0.02597 0.00850
10 9 0.99952 0.00393 -0.02943 0.00825
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00342 -0.00167 0.00187
3 2 0.99997 -0.00553 -0.00375 0.00407
4 3 0.99994 -0.00682 -0.00608 0.00627
5 4 0.99991 -0.00717 -0.00835 0.00820
6 5 0.99988 -0.00662 -0.01054 0.00967
7 6 0.99984 -0.00549 -0.01291 0.01076
8 7 0.99981 -0.00406 -0.01547 0.01134
9 8 0.99976 -0.00283 -0.01840 0.01141
10 9 0.99970 -0.00198 -0.02173 0.01116
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00188 -0.00288 0.00262
3 2 0.99996 -0.00395 -0.00634 0.00524
4 3 0.99991 -0.00536 -0.00963 0.00742
5 4 0.99987 -0.00606 -0.01234 0.00898
6 5 0.99983 -0.00605 -0.01440 0.00976
7 6 0.99980 -0.00559 -0.01627 0.00994
8 7 0.99978 -0.00496 -0.01821 0.00967
9 8 0.99974 -0.00440 -0.02057 0.00909
10 9 0.99968 -0.00414 -0.02351 0.00834
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00021 -0.00267 0.00205
3 2 0.99998 -0.00173 -0.00516 0.00396
4 3 0.99995 -0.00270 -0.00777 0.00546
5 4 0.99992 -0.00299 -0.01017 0.00644
6 5 0.99989 -0.00272 -0.01250 0.00691
7 6 0.99986 -0.00204 -0.01482 0.00687
8 7 0.99983 -0.00126 -0.01736 0.00652
9 8 0.99978 -0.00064 -0.02034 0.00596
10 9 0.99970 -0.00039 -0.02391 0.00536
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00156 -0.00087 0.00297
3 2 0.99998 -0.00244 -0.00204 0.00569
4 3 0.99996 -0.00282 -0.00362 0.00801
5 4 0.99993 -0.00257 -0.00546 0.00978
6 5 0.99991 -0.00185 -0.00749 0.01108
7 6 0.99988 -0.00094 -0.00982 0.01215
8 7 0.99984 -0.00002 -0.01254 0.01307
9 8 0.99978 0.00065 -0.01581 0.01395
10 9 0.99970 0.00100 -0.01961 0.01493
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00144 -0.00175 0.00200
3 2 0.99998 -0.00181 -0.00337 0.00394
4 3 0.99997 -0.00166 -0.00503 0.00557
5 4 0.99995 -0.00087 -0.00685 0.00675
6 5 0.99993 0.00034 -0.00907 0.00763
7 6 0.99989 0.00178 -0.01180 0.00836
8 7 0.99984 0.00328 -0.01511 0.00906
9 8 0.99976 0.00461 -0.01903 0.00982
10 9 0.99965 0.00550 -0.02345 0.01074
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00488 0.00358 0.00011
3 2 0.99993 -0.00957 0.00732 0.00000
4 3 0.99984 -0.01411 0.01074 -0.00051
5 4 0.99974 -0.01824 0.01390 -0.00140
6 5 0.99962 -0.02183 0.01687 -0.00265
7 6 0.99949 -0.02497 0.01960 -0.00437
8 7 0.99935 -0.02791 0.02203 -0.00656
9 8 0.99919 -0.03084 0.02413 -0.00921
10 9 0.99902 -0.03383 0.02590 -0.01230
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00238 0.00323 0.00005
3 2 0.99997 -0.00548 0.00623 -0.00066
4 3 0.99992 -0.00835 0.00909 -0.00191
5 4 0.99987 -0.01070 0.01162 -0.00369
6 5 0.99980 -0.01292 0.01387 -0.00594
7 6 0.99972 -0.01527 0.01589 -0.00867
8 7 0.99962 -0.01790 0.01742 -0.01181
9 8 0.99950 -0.02084 0.01847 -0.01513
10 9 0.99935 -0.02402 0.01918 -0.01862
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00443 0.00175 -0.00145
3 2 0.99995 -0.00879 0.00286 -0.00344
4 3 0.99990 -0.01291 0.00330 -0.00558
5 4 0.99983 -0.01643 0.00316 -0.00787
6 5 0.99976 -0.01912 0.00231 -0.01023
7 6 0.99969 -0.02154 0.00078 -0.01283
8 7 0.99960 -0.02366 -0.00132 -0.01546
9 8 0.99949 -0.02581 -0.00417 -0.01826
10 9 0.99935 -0.02816 -0.00787 -0.02130
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00473 0.00140 -0.00237
3 2 0.99994 -0.00949 0.00232 -0.00483
4 3 0.99988 -0.01378 0.00222 -0.00727
5 4 0.99980 -0.01743 0.00119 -0.00963
6 5 0.99971 -0.02060 -0.00088 -0.01206
7 6 0.99961 -0.02356 -0.00390 -0.01467
8 7 0.99947 -0.02631 -0.00777 -0.01749
9 8 0.99930 -0.02901 -0.01223 -0.02045
10 9 0.99908 -0.03168 -0.01717 -0.02345
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00405 0.00431 0.00153
3 2 0.99992 -0.00852 0.00864 0.00290
4 3 0.99983 -0.01267 0.01292 0.00357
5 4 0.99973 -0.01590 0.01678 0.00357
6 5 0.99962 -0.01837 0.02044 0.00303
7 6 0.99950 -0.02048 0.02390 0.00192
8 7 0.99938 -0.02253 0.02714 0.00018
9 8 0.99923 -0.02483 0.03016 -0.00220
10 9 0.99908 -0.02734 0.03280 -0.00506
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00425 0.00425 0.00062
3 2 0.99993 -0.00841 0.00794 0.00077
4 3 0.99986 -0.01235 0.01099 0.00034
5 4 0.99977 -0.01609 0.01385 -0.00062
6 5 0.99966 -0.01981 0.01652 -0.00214
7 6 0.99954 -0.02356 0.01889 -0.00410
8 7 0.99939 -0.02715 0.02092 -0.00643
9 8 0.99923 -0.03076 0.02264 -0.00917
10 9 0.99904 -0.03454 0.02410 -0.01238
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00209 0.00312 -0.00162
3 2 0.99997 -0.00548 0.00540 -0.00298
4 3 0.99993 -0.00902 0.00680 -0.00466
5 4 0.99988 -0.01234 0.00726 -0.00660
6 5 0.99982 -0.01538 0.00667 -0.00884
7 6 0.99975 -0.01827 0.00541 -0.01135
8 7 0.99967 -0.02122 0.00349 -0.01417
9 8 0.99955 -0.02436 0.00098 -0.01733
10 9 0.99941 -0.02752 -0.00190 -0.02053
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00515 0.00471 -0.00186
3 2 0.99991 -0.00983 0.00778 -0.00368
4 3 0.99984 -0.01382 0.00952 -0.00554
5 4 0.99977 -0.01717 0.01003 -0.00748
6 5 0.99971 -0.02004 0.00931 -0.00960
7 6 0.99965 -0.02260 0.00738 -0.01195
8 7 0.99957 -0.02503 0.00441 -0.01451
9 8 0.99947 -0.02759 0.00050 -0.01734
10 9 0.99932 -0.03034 -0.00411 -0.02033
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00235 0.00084 -0.00171
3 2 0.99998 -0.00510 0.00095 -0.00359
4 3 0.99995 -0.00785 0.00005 -0.00560
5 4 0.99991 -0.01042 -0.00192 -0.00780
6 5 0.99986 -0.01270 -0.00483 -0.01015
7 6 0.99977 -0.01488 -0.00831 -0.01274
8 7 0.99966 -0.01707 -0.01211 -0.01564
9 8 0.99951 -0.01938 -0.01608 -0.01867
10 9 0.99931 -0.02210 -0.02023 -0.02183
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00533 -0.00027 -0.00156
3 2 0.99995 -0.00966 -0.00140 -0.00320
4 3 0.99990 -0.01304 -0.00301 -0.00498
5 4 0.99984 -0.01561 -0.00493 -0.00690
6 5 0.99978 -0.01767 -0.00715 -0.00898
7 6 0.99970 -0.01961 -0.00970 -0.01124
8 7 0.99960 -0.02151 -0.01247 -0.01360
9 8 0.99947 -0.02369 -0.01561 -0.01595
10 9 0.99929 -0.02653 -0.01923 -0.01841
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00707 0.00004 -0.00247
3 2 0.99990 -0.01371 -0.00041 -0.00458
4 3 0.99979 -0.01955 -0.00139 -0.00629
5 4 0.99967 -0.02430 -0.00285 -0.00774
6 5 0.99955 -0.02813 -0.00484 -0.00902
7 6 0.99943 -0.03123 -0.00727 -0.01013
8 7 0.99932 -0.03373 -0.01021 -0.01109
9 8 0.99918 -0.03600 -0.01385 -0.01194
10 9 0.99902 -0.03834 -0.01822 -0.01267
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00695 -0.00014 -0.00269
3 2 0.99992 -0.01208 -0.00063 -0.00454
4 3 0.99985 -0.01588 -0.00148 -0.00599
5 4 0.99980 -0.01870 -0.00287 -0.00720
6 5 0.99973 -0.02115 -0.00486 -0.00827
7 6 0.99965 -0.02347 -0.00765 -0.00911
8 7 0.99956 -0.02579 -0.01108 -0.00972
9 8 0.99944 -0.02819 -0.01509 -0.01006
10 9 0.99929 -0.03074 -0.01952 -0.01014
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00476 0.00215 -0.00171
3 2 0.99994 -0.00960 0.00361 -0.00354
4 3 0.99988 -0.01383 0.00434 -0.00547
5 4 0.99981 -0.01732 0.00438 -0.00750
6 5 0.99974 -0.02006 0.00385 -0.00975
7 6 0.99968 -0.02223 0.00288 -0.01213
8 7 0.99960 -0.02415 0.00154 -0.01460
9 8 0.99952 -0.02588 -0.00022 -0.01710
10 9 0.99943 -0.02754 -0.00240 -0.01960
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00419 0.00323 -0.00229
3 2 0.99993 -0.00931 0.00604 -0.00459
4 3 0.99985 -0.01402 0.00800 -0.00669
5 4 0.99975 -0.01841 0.00902 -0.00878
6 5 0.99965 -0.02210 0.00936 -0.01090
7 6 0.99955 -0.02509 0.00929 -0.01321
8 7 0.99947 -0.02729 0.00871 -0.01577
9 8 0.99938 -0.02885 0.00770 -0.01842
10 9 0.99930 -0.03014 0.00632 -0.02131
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00573 0.00143 -0.00189
3 2 0.99991 -0.01206 0.00264 -0.00420
4 3 0.99983 -0.01723 0.00271 -0.00639
5 4 0.99974 -0.02121 0.00206 -0.00856
6 5 0.99965 -0.02408 0.00087 -0.01070
7 6 0.99957 -0.02637 -0.00081 -0.01282
8 7 0.99948 -0.02838 -0.00308 -0.01489
9 8 0.99939 -0.03007 -0.00597 -0.01679
10 9 0.99929 -0.03162 -0.00930 -0.01846
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00462 0.00241 -0.00275
3 2 0.99994 -0.00897 0.00467 -0.00514
4 3 0.99988 -0.01266 0.00583 -0.00719
5 4 0.99982 -0.01565 0.00599 -0.00898
6 5 0.99977 -0.01798 0.00544 -0.01055
7 6 0.99972 -0.01979 0.00434 -0.01192
8 7 0.99969 -0.02096 0.00261 -0.01314
9 8 0.99966 -0.02165 0.00047 -0.01426
10 9 0.99963 -0.02223 -0.00199 -0.01532
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00720 0.00242 -0.00153
3 2 0.99987 -0.01510 0.00372 -0.00326
4 3 0.99975 -0.02176 0.00342 -0.00494
5 4 0.99962 -0.02674 0.00204 -0.00675
6 5 0.99949 -0.03053 -0.00017 -0.00893
7 6 0.99938 -0.03317 -0.00317 -0.01166
8 7 0.99925 -0.03517 -0.00677 -0.01487
9 8 0.99910 -0.03674 -0.01065 -0.01835
10 9 0.99893 -0.03794 -0.01466 -0.02180
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00659 0.00207 -0.00181
3 2 0.99991 -0.01247 0.00279 -0.00382
4 3 0.99981 -0.01825 0.00217 -0.00610
5 4 0.99969 -0.02331 0.00064 -0.00876
6 5 0.99957 -0.02701 -0.00142 -0.01154
7 6 0.99945 -0.02960 -0.00394 -0.01439
8 7 0.99932 -0.03177 -0.00704 -0.01750
9 8 0.99915 -0.03369 -0.01089 -0.02097
10 9 0.99895 -0.03549 -0.01532 -0.02452
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00663 0.00021 -0.00243
3 2 0.99988 -0.01471 0.00034 -0.00465
4 3 0.99972 -0.02272 0.00009 -0.00650
5 4 0.99953 -0.02972 -0.00061 -0.00802
6 5 0.99932 -0.03550 -0.00184 -0.00932
7 6 0.99914 -0.04005 -0.00367 -0.01046
8 7 0.99897 -0.04344 -0.00619 -0.01141
9 8 0.99882 -0.04607 -0.00966 -0.01220
10 9 0.99866 -0.04821 -0.01376 -0.01287
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00714 0.00038 -0.00254
3 2 0.99988 -0.01497 0.00045 -0.00502
4 3 0.99971 -0.02297 0.00032 -0.00712
5 4 0.99950 -0.03043 -0.00039 -0.00908
6 5 0.99927 -0.03663 -0.00193 -0.01098
7 6 0.99904 -0.04159 -0.00432 -0.01282
8 7 0.99884 -0.04535 -0.00733 -0.01440
9 8 0.99866 -0.04805 -0.01074 -0.01563
10 9 0.99848 -0.05034 -0.01466 -0.01669
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00528 0.00375 -0.00126
3 2 0.99991 -0.01144 0.00582 -0.00275
4 3 0.99982 -0.01721 0.00620 -0.00435
5 4 0.99973 -0.02200 0.00518 -0.00620
6 5 0.99963 -0.02573 0.00322 -0.00826
7 6 0.99953 -0.02882 0.00048 -0.01062
8 7 0.99942 -0.03126 -0.00302 -0.01335
9 8 0.99929 -0.03319 -0.00718 -0.01641
10 9 0.99913 -0.03493 -0.01160 -0.01962
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00512 0.00273 -0.00155
3 2 0.99992 -0.01133 0.00456 -0.00321
4 3 0.99984 -0.01681 0.00467 -0.00494
5 4 0.99973 -0.02194 0.00328 -0.00696
6 5 0.99962 -0.02613 0.00100 -0.00926
7 6 0.99950 -0.02918 -0.00188 -0.01179
8 7 0.99939 -0.03127 -0.00534 -0.01474
9 8 0.99925 -0.03292 -0.00948 -0.01816
10 9 0.99907 -0.03431 -0.01406 -0.02196
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00711 0.00274 -0.00228
3 2 0.99987 -0.01482 0.00461 -0.00373
4 3 0.99973 -0.02197 0.00598 -0.00478
5 4 0.99956 -0.02819 0.00676 -0.00565
6 5 0.99939 -0.03368 0.00666 -0.00653
7 6 0.99923 -0.03813 0.00532 -0.00749
8 7 0.99908 -0.04184 0.00279 -0.00863
9 8 0.99894 -0.04503 -0.00074 -0.00980
10 9 0.99880 -0.04758 -0.00477 -0.01069
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00651 0.00286 -0.00281
3 2 0.99988 -0.01414 0.00436 -0.00499
4 3 0.99973 -0.02183 0.00545 -0.00659
5 4 0.99953 -0.02891 0.00602 -0.00790
6 5 0.99933 -0.03506 0.00587 -0.00911
7 6 0.99914 -0.03996 0.00463 -0.01022
8 7 0.99898 -0.04372 0.00213 -0.01118
9 8 0.99884 -0.04661 -0.00128 -0.01193
10 9 0.99870 -0.04901 -0.00553 -0.01258
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00302 0.00113 -0.00151
3 2 0.99997 -0.00638 0.00220 -0.00322
4 3 0.99994 -0.00937 0.00311 -0.00477
5 4 0.99989 -0.01261 0.00416 -0.00637
6 5 0.99983 -0.01563 0.00505 -0.00809
7 6 0.99976 -0.01847 0.00560 -0.00990
8 7 0.99968 -0.02155 0.00614 -0.01176
9 8 0.99959 -0.02433 0.00655 -0.01374
10 9 0.99948 -0.02745 0.00703 -0.01567
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00329 0.00247 -0.00075
3 2 0.99997 -0.00667 0.00428 -0.00166
4 3 0.99993 -0.00956 0.00557 -0.00278
5 4 0.99990 -0.01174 0.00653 -0.00410
6 5 0.99987 -0.01355 0.00714 -0.00570
7 6 0.99983 -0.01523 0.00738 -0.00764
8 7 0.99978 -0.01690 0.00728 -0.00988
9 8 0.99973 -0.01842 0.00677 -0.01232
10 9 0.99967 -0.02005 0.00599 -0.01495
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00610 0.00042 -0.00038
3 2 0.99994 -0.01134 0.00032 -0.00076
4 3 0.99988 -0.01519 -0.00078 -0.00120
5 4 0.99984 -0.01766 -0.00248 -0.00191
6 5 0.99980 -0.01908 -0.00482 -0.00304
7 6 0.99976 -0.02000 -0.00807 -0.00449
8 7 0.99969 -0.02071 -0.01211 -0.00625
9 8 0.99960 -0.02125 -0.01668 -0.00821
10 9 0.99949 -0.02144 -0.02143 -0.01013
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00277 -0.00053 -0.00115
3 2 0.99998 -0.00556 -0.00132 -0.00200
4 3 0.99996 -0.00750 -0.00291 -0.00307
5 4 0.99994 -0.00866 -0.00505 -0.00436
6 5 0.99991 -0.00937 -0.00795 -0.00584
7 6 0.99986 -0.00978 -0.01127 -0.00743
8 7 0.99979 -0.01002 -0.01528 -0.00917
9 8 0.99969 -0.01031 -0.01992 -0.01086
10 9 0.99956 -0.01066 -0.02488 -0.01241
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00279 0.00336 -0.00123
3 2 0.99996 -0.00597 0.00543 -0.00260
4 3 0.99993 -0.00920 0.00668 -0.00432
5 4 0.99988 -0.01221 0.00746 -0.00640
6 5 0.99982 -0.01495 0.00809 -0.00878
7 6 0.99975 -0.01729 0.00865 -0.01145
8 7 0.99966 -0.01950 0.00910 -0.01446
9 8 0.99956 -0.02175 0.00938 -0.01770
10 9 0.99944 -0.02412 0.00955 -0.02119
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00416 0.00339 -0.00072
3 2 0.99995 -0.00789 0.00617 -0.00193
4 3 0.99990 -0.01085 0.00802 -0.00350
5 4 0.99985 -0.01332 0.00924 -0.00550
6 5 0.99980 -0.01560 0.00991 -0.00788
7 6 0.99973 -0.01788 0.01027 -0.01052
8 7 0.99965 -0.02027 0.01034 -0.01340
9 8 0.99955 -0.02281 0.01017 -0.01643
10 9 0.99943 -0.02556 0.00979 -0.01956
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00638 0.00002 -0.00025
3 2 0.99994 -0.01132 -0.00043 -0.00098
4 3 0.99988 -0.01541 -0.00199 -0.00194
5 4 0.99981 -0.01862 -0.00430 -0.00315
6 5 0.99974 -0.02107 -0.00710 -0.00464
7 6 0.99966 -0.02300 -0.01043 -0.00643
8 7 0.99956 -0.02460 -0.01408 -0.00832
9 8 0.99944 -0.02608 -0.01809 -0.01027
10 9 0.99929 -0.02759 -0.02243 -0.01224
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00584 0.00114 0.00003
3 2 0.99994 -0.01095 0.00083 -0.00055
4 3 0.99989 -0.01505 -0.00086 -0.00150
5 4 0.99983 -0.01812 -0.00335 -0.00284
6 5 0.99976 -0.02027 -0.00631 -0.00465
7 6 0.99969 -0.02192 -0.00976 -0.00685
8 7 0.99959 -0.02319 -0.01365 -0.00928
9 8 0.99948 -0.02417 -0.01773 -0.01168
10 9 0.99935 -0.02493 -0.02203 -0.01396
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
Code
reorient(vespa64$igp, disable_normalization = TRUE)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00519 -0.00222 -0.00040
3 2 0.99993 -0.01048 -0.00527 -0.00097
4 3 0.99983 -0.01582 -0.00895 -0.00190
5 4 0.99971 -0.02029 -0.01248 -0.00307
6 5 0.99957 -0.02402 -0.01595 -0.00444
7 6 0.99943 -0.02693 -0.01927 -0.00599
8 7 0.99929 -0.02904 -0.02258 -0.00777
9 8 0.99914 -0.03067 -0.02604 -0.00979
10 9 0.99897 -0.03209 -0.02980 -0.01201
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00562 -0.00244 0.00021
3 2 0.99992 -0.01124 -0.00530 0.00027
4 3 0.99982 -0.01701 -0.00867 0.00000
5 4 0.99967 -0.02269 -0.01233 -0.00054
6 5 0.99949 -0.02776 -0.01603 -0.00139
7 6 0.99931 -0.03155 -0.01949 -0.00256
8 7 0.99914 -0.03440 -0.02296 -0.00404
9 8 0.99896 -0.03658 -0.02667 -0.00584
10 9 0.99877 -0.03826 -0.03062 -0.00789
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00564 0.00059 -0.00011
3 2 0.99993 -0.01218 0.00035 0.00061
4 3 0.99981 -0.01962 -0.00058 0.00158
5 4 0.99964 -0.02664 -0.00187 0.00273
6 5 0.99945 -0.03276 -0.00353 0.00379
7 6 0.99925 -0.03799 -0.00553 0.00484
8 7 0.99906 -0.04220 -0.00794 0.00589
9 8 0.99888 -0.04556 -0.01082 0.00691
10 9 0.99870 -0.04827 -0.01423 0.00791
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00579 0.00081 0.00039
3 2 0.99993 -0.01201 0.00056 0.00114
4 3 0.99982 -0.01873 -0.00022 0.00213
5 4 0.99967 -0.02540 -0.00149 0.00325
6 5 0.99949 -0.03134 -0.00312 0.00434
7 6 0.99931 -0.03631 -0.00509 0.00540
8 7 0.99915 -0.04014 -0.00740 0.00638
9 8 0.99900 -0.04303 -0.01016 0.00736
10 9 0.99885 -0.04513 -0.01360 0.00832
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00494 -0.00206 -0.00098
3 2 0.99994 -0.00970 -0.00458 -0.00141
4 3 0.99987 -0.01431 -0.00776 -0.00193
5 4 0.99976 -0.01858 -0.01124 -0.00277
6 5 0.99963 -0.02249 -0.01487 -0.00396
7 6 0.99948 -0.02589 -0.01852 -0.00548
8 7 0.99932 -0.02853 -0.02203 -0.00729
9 8 0.99917 -0.03045 -0.02553 -0.00936
10 9 0.99900 -0.03193 -0.02921 -0.01161
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00017 -0.00074
3 2 0.99994 -0.01113 -0.00195 -0.00098
4 3 0.99984 -0.01690 -0.00495 -0.00120
5 4 0.99971 -0.02250 -0.00855 -0.00162
6 5 0.99955 -0.02749 -0.01218 -0.00226
7 6 0.99937 -0.03171 -0.01574 -0.00321
8 7 0.99921 -0.03463 -0.01907 -0.00460
9 8 0.99906 -0.03657 -0.02239 -0.00637
10 9 0.99890 -0.03799 -0.02599 -0.00851
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00372 0.00203 -0.00002
3 2 0.99997 -0.00703 0.00422 0.00034
4 3 0.99993 -0.01030 0.00611 0.00125
5 4 0.99988 -0.01367 0.00751 0.00249
6 5 0.99981 -0.01698 0.00839 0.00402
7 6 0.99974 -0.02019 0.00893 0.00593
8 7 0.99967 -0.02298 0.00863 0.00794
9 8 0.99960 -0.02526 0.00754 0.00998
10 9 0.99954 -0.02726 0.00590 0.01201
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00268 0.00201 0.00192
3 2 0.99996 -0.00599 0.00416 0.00427
4 3 0.99992 -0.00948 0.00570 0.00667
5 4 0.99985 -0.01298 0.00653 0.00903
6 5 0.99978 -0.01628 0.00655 0.01134
7 6 0.99971 -0.01907 0.00555 0.01355
8 7 0.99964 -0.02133 0.00358 0.01568
9 8 0.99958 -0.02304 0.00073 0.01778
10 9 0.99950 -0.02438 -0.00290 0.01985
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00660 -0.00025 0.00077
3 2 0.99990 -0.01415 -0.00177 0.00118
4 3 0.99973 -0.02258 -0.00460 0.00126
5 4 0.99950 -0.03063 -0.00822 0.00076
6 5 0.99921 -0.03769 -0.01225 -0.00035
7 6 0.99894 -0.04298 -0.01634 -0.00221
8 7 0.99871 -0.04634 -0.02008 -0.00479
9 8 0.99854 -0.04809 -0.02331 -0.00809
10 9 0.99840 -0.04885 -0.02588 -0.01184
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00770 0.00050 0.00029
3 2 0.99988 -0.01565 -0.00066 0.00080
4 3 0.99971 -0.02365 -0.00329 0.00096
5 4 0.99948 -0.03152 -0.00679 0.00061
6 5 0.99920 -0.03853 -0.01068 -0.00036
7 6 0.99892 -0.04411 -0.01461 -0.00205
8 7 0.99868 -0.04778 -0.01819 -0.00438
9 8 0.99851 -0.04972 -0.02131 -0.00718
10 9 0.99840 -0.05017 -0.02389 -0.01044
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00743 0.00259 -0.00012
3 2 0.99988 -0.01467 0.00423 -0.00004
4 3 0.99976 -0.02123 0.00456 0.00005
5 4 0.99965 -0.02633 0.00362 0.00003
6 5 0.99954 -0.03022 0.00138 -0.00020
7 6 0.99944 -0.03325 -0.00234 -0.00069
8 7 0.99932 -0.03613 -0.00726 -0.00137
9 8 0.99916 -0.03883 -0.01276 -0.00231
10 9 0.99898 -0.04125 -0.01816 -0.00357
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99996 -0.00766 0.00346 -0.00017
3 2 0.99987 -0.01511 0.00573 0.00019
4 3 0.99974 -0.02178 0.00640 0.00076
5 4 0.99961 -0.02750 0.00512 0.00144
6 5 0.99946 -0.03270 0.00207 0.00213
7 6 0.99930 -0.03729 -0.00237 0.00254
8 7 0.99912 -0.04127 -0.00761 0.00259
9 8 0.99893 -0.04432 -0.01296 0.00206
10 9 0.99877 -0.04643 -0.01740 0.00089
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00362 -0.00259 0.00018
3 2 0.99995 -0.00763 -0.00673 0.00050
4 3 0.99989 -0.01100 -0.01042 0.00009
5 4 0.99982 -0.01352 -0.01346 -0.00099
6 5 0.99976 -0.01504 -0.01575 -0.00278
7 6 0.99971 -0.01582 -0.01741 -0.00508
8 7 0.99966 -0.01619 -0.01868 -0.00774
9 8 0.99961 -0.01657 -0.01982 -0.01074
10 9 0.99953 -0.01739 -0.02103 -0.01387
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00359 -0.00178 0.00074
3 2 0.99996 -0.00776 -0.00434 0.00107
4 3 0.99990 -0.01160 -0.00752 0.00087
5 4 0.99983 -0.01474 -0.01087 0.00009
6 5 0.99976 -0.01698 -0.01408 -0.00131
7 6 0.99968 -0.01828 -0.01705 -0.00325
8 7 0.99961 -0.01892 -0.01978 -0.00555
9 8 0.99953 -0.01934 -0.02235 -0.00808
10 9 0.99943 -0.02001 -0.02485 -0.01075
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00455 -0.00186 0.00107
3 2 0.99995 -0.00871 -0.00487 0.00202
4 3 0.99988 -0.01221 -0.00872 0.00244
5 4 0.99980 -0.01487 -0.01299 0.00225
6 5 0.99971 -0.01651 -0.01724 0.00141
7 6 0.99962 -0.01722 -0.02130 -0.00004
8 7 0.99953 -0.01731 -0.02505 -0.00192
9 8 0.99944 -0.01717 -0.02841 -0.00403
10 9 0.99934 -0.01723 -0.03136 -0.00612
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00546 -0.00077 0.00127
3 2 0.99994 -0.01018 -0.00290 0.00243
4 3 0.99987 -0.01431 -0.00599 0.00319
5 4 0.99979 -0.01763 -0.00963 0.00349
6 5 0.99970 -0.01999 -0.01351 0.00326
7 6 0.99962 -0.02135 -0.01734 0.00246
8 7 0.99954 -0.02200 -0.02108 0.00114
9 8 0.99944 -0.02234 -0.02477 -0.00059
10 9 0.99933 -0.02280 -0.02850 -0.00254
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00430 0.00027 -0.00133
3 2 0.99996 -0.00829 -0.00005 -0.00280
4 3 0.99991 -0.01226 -0.00038 -0.00452
5 4 0.99985 -0.01603 -0.00067 -0.00646
6 5 0.99977 -0.01952 -0.00083 -0.00870
7 6 0.99968 -0.02262 -0.00087 -0.01125
8 7 0.99958 -0.02538 -0.00087 -0.01407
9 8 0.99946 -0.02796 -0.00085 -0.01707
10 9 0.99933 -0.03049 -0.00082 -0.02016
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00479 -0.00072 -0.00115
3 2 0.99995 -0.00922 -0.00157 -0.00254
4 3 0.99990 -0.01334 -0.00219 -0.00432
5 4 0.99983 -0.01701 -0.00261 -0.00636
6 5 0.99975 -0.02024 -0.00295 -0.00879
7 6 0.99966 -0.02295 -0.00325 -0.01155
8 7 0.99957 -0.02516 -0.00346 -0.01457
9 8 0.99946 -0.02734 -0.00359 -0.01790
10 9 0.99933 -0.02949 -0.00374 -0.02128
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00375 0.00135 0.00012
3 2 0.99997 -0.00762 0.00155 0.00052
4 3 0.99993 -0.01202 0.00050 0.00112
5 4 0.99986 -0.01666 -0.00136 0.00173
6 5 0.99976 -0.02142 -0.00385 0.00223
7 6 0.99964 -0.02600 -0.00680 0.00248
8 7 0.99948 -0.03042 -0.01020 0.00233
9 8 0.99931 -0.03448 -0.01401 0.00171
10 9 0.99911 -0.03812 -0.01803 0.00072
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00539 -0.00145 0.00035
3 2 0.99994 -0.01058 -0.00385 0.00098
4 3 0.99985 -0.01582 -0.00688 0.00132
5 4 0.99974 -0.02062 -0.01015 0.00118
6 5 0.99961 -0.02460 -0.01351 0.00058
7 6 0.99947 -0.02789 -0.01702 -0.00042
8 7 0.99931 -0.03082 -0.02088 -0.00176
9 8 0.99912 -0.03348 -0.02518 -0.00343
10 9 0.99890 -0.03597 -0.02971 -0.00526
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00559 -0.00068 -0.00068
3 2 0.99994 -0.01060 -0.00156 -0.00144
4 3 0.99987 -0.01544 -0.00230 -0.00261
5 4 0.99979 -0.01980 -0.00289 -0.00418
6 5 0.99969 -0.02380 -0.00327 -0.00628
7 6 0.99958 -0.02749 -0.00353 -0.00890
8 7 0.99944 -0.03099 -0.00371 -0.01185
9 8 0.99929 -0.03429 -0.00383 -0.01493
10 9 0.99912 -0.03760 -0.00390 -0.01810
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00488 -0.00124 -0.00039
3 2 0.99995 -0.01004 -0.00262 -0.00121
4 3 0.99988 -0.01505 -0.00365 -0.00249
5 4 0.99979 -0.01940 -0.00419 -0.00423
6 5 0.99970 -0.02310 -0.00448 -0.00641
7 6 0.99960 -0.02629 -0.00477 -0.00903
8 7 0.99950 -0.02894 -0.00505 -0.01188
9 8 0.99938 -0.03143 -0.00532 -0.01488
10 9 0.99924 -0.03420 -0.00568 -0.01802
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00424 0.00085 0.00012
3 2 0.99997 -0.00829 0.00048 0.00088
4 3 0.99992 -0.01267 -0.00097 0.00180
5 4 0.99984 -0.01735 -0.00330 0.00261
6 5 0.99973 -0.02202 -0.00623 0.00308
7 6 0.99960 -0.02657 -0.00961 0.00297
8 7 0.99944 -0.03079 -0.01322 0.00237
9 8 0.99925 -0.03474 -0.01717 0.00128
10 9 0.99903 -0.03840 -0.02148 -0.00032
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00460 0.00025 -0.00041
3 2 0.99996 -0.00854 -0.00008 0.00004
4 3 0.99992 -0.01269 -0.00146 0.00059
5 4 0.99984 -0.01717 -0.00379 0.00118
6 5 0.99974 -0.02178 -0.00686 0.00158
7 6 0.99960 -0.02633 -0.01050 0.00162
8 7 0.99943 -0.03054 -0.01447 0.00117
9 8 0.99923 -0.03443 -0.01881 0.00024
10 9 0.99900 -0.03803 -0.02349 -0.00114
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00076 -0.00245 -0.00075
3 2 0.99998 -0.00292 -0.00604 -0.00139
4 3 0.99993 -0.00595 -0.01002 -0.00198
5 4 0.99985 -0.00979 -0.01432 -0.00256
6 5 0.99971 -0.01456 -0.01894 -0.00315
7 6 0.99950 -0.02048 -0.02385 -0.00366
8 7 0.99921 -0.02708 -0.02866 -0.00422
9 8 0.99885 -0.03416 -0.03342 -0.00479
10 9 0.99840 -0.04155 -0.03808 -0.00538
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00336 -0.00371 0.00095
3 2 0.99995 -0.00684 -0.00744 0.00149
4 3 0.99988 -0.01035 -0.01095 0.00177
5 4 0.99980 -0.01410 -0.01423 0.00171
6 5 0.99970 -0.01722 -0.01710 0.00144
7 6 0.99962 -0.01959 -0.01959 0.00085
8 7 0.99952 -0.02159 -0.02210 0.00002
9 8 0.99942 -0.02324 -0.02485 -0.00101
10 9 0.99930 -0.02478 -0.02779 -0.00218
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00138 -0.00301 0.00256
3 2 0.99996 -0.00200 -0.00654 0.00486
4 3 0.99993 -0.00180 -0.01000 0.00649
5 4 0.99988 -0.00098 -0.01345 0.00773
6 5 0.99982 0.00037 -0.01676 0.00852
7 6 0.99976 0.00178 -0.01977 0.00879
8 7 0.99970 0.00290 -0.02278 0.00873
9 8 0.99962 0.00366 -0.02597 0.00850
10 9 0.99952 0.00393 -0.02943 0.00825
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00342 -0.00167 0.00187
3 2 0.99997 -0.00553 -0.00375 0.00407
4 3 0.99994 -0.00682 -0.00608 0.00627
5 4 0.99991 -0.00717 -0.00835 0.00820
6 5 0.99988 -0.00662 -0.01054 0.00967
7 6 0.99984 -0.00549 -0.01291 0.01076
8 7 0.99981 -0.00406 -0.01547 0.01134
9 8 0.99976 -0.00283 -0.01840 0.01141
10 9 0.99970 -0.00198 -0.02173 0.01116
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00188 -0.00288 0.00262
3 2 0.99996 -0.00395 -0.00634 0.00524
4 3 0.99991 -0.00536 -0.00963 0.00742
5 4 0.99987 -0.00606 -0.01234 0.00898
6 5 0.99983 -0.00605 -0.01440 0.00976
7 6 0.99980 -0.00559 -0.01627 0.00994
8 7 0.99978 -0.00496 -0.01821 0.00967
9 8 0.99974 -0.00440 -0.02057 0.00909
10 9 0.99968 -0.00414 -0.02351 0.00834
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00021 -0.00267 0.00205
3 2 0.99998 -0.00173 -0.00516 0.00396
4 3 0.99995 -0.00270 -0.00777 0.00546
5 4 0.99992 -0.00299 -0.01017 0.00644
6 5 0.99989 -0.00272 -0.01250 0.00691
7 6 0.99986 -0.00204 -0.01482 0.00687
8 7 0.99983 -0.00126 -0.01736 0.00652
9 8 0.99978 -0.00064 -0.02034 0.00596
10 9 0.99970 -0.00039 -0.02391 0.00536
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00156 -0.00087 0.00297
3 2 0.99998 -0.00244 -0.00204 0.00569
4 3 0.99996 -0.00282 -0.00362 0.00801
5 4 0.99993 -0.00257 -0.00546 0.00978
6 5 0.99991 -0.00185 -0.00749 0.01108
7 6 0.99988 -0.00094 -0.00982 0.01215
8 7 0.99984 -0.00002 -0.01254 0.01307
9 8 0.99978 0.00065 -0.01581 0.01395
10 9 0.99970 0.00100 -0.01961 0.01493
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00144 -0.00175 0.00200
3 2 0.99998 -0.00181 -0.00337 0.00394
4 3 0.99997 -0.00166 -0.00503 0.00557
5 4 0.99995 -0.00087 -0.00685 0.00675
6 5 0.99993 0.00034 -0.00907 0.00763
7 6 0.99989 0.00178 -0.01180 0.00836
8 7 0.99984 0.00328 -0.01511 0.00906
9 8 0.99976 0.00461 -0.01903 0.00982
10 9 0.99965 0.00550 -0.02345 0.01074
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00488 0.00358 0.00011
3 2 0.99993 -0.00957 0.00732 0.00000
4 3 0.99984 -0.01411 0.01074 -0.00051
5 4 0.99974 -0.01824 0.01390 -0.00140
6 5 0.99962 -0.02183 0.01687 -0.00265
7 6 0.99949 -0.02497 0.01960 -0.00437
8 7 0.99935 -0.02791 0.02203 -0.00656
9 8 0.99919 -0.03084 0.02413 -0.00921
10 9 0.99902 -0.03383 0.02590 -0.01230
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00238 0.00323 0.00005
3 2 0.99997 -0.00548 0.00623 -0.00066
4 3 0.99992 -0.00835 0.00909 -0.00191
5 4 0.99987 -0.01070 0.01162 -0.00369
6 5 0.99980 -0.01292 0.01387 -0.00594
7 6 0.99972 -0.01527 0.01589 -0.00867
8 7 0.99962 -0.01790 0.01742 -0.01181
9 8 0.99950 -0.02084 0.01847 -0.01513
10 9 0.99935 -0.02402 0.01918 -0.01862
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00443 0.00175 -0.00145
3 2 0.99995 -0.00879 0.00286 -0.00344
4 3 0.99990 -0.01291 0.00330 -0.00558
5 4 0.99983 -0.01643 0.00316 -0.00787
6 5 0.99976 -0.01912 0.00231 -0.01023
7 6 0.99969 -0.02154 0.00078 -0.01283
8 7 0.99960 -0.02366 -0.00132 -0.01546
9 8 0.99949 -0.02581 -0.00417 -0.01826
10 9 0.99935 -0.02816 -0.00787 -0.02130
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00473 0.00140 -0.00237
3 2 0.99994 -0.00949 0.00232 -0.00483
4 3 0.99988 -0.01378 0.00222 -0.00727
5 4 0.99980 -0.01743 0.00119 -0.00963
6 5 0.99971 -0.02060 -0.00088 -0.01206
7 6 0.99961 -0.02356 -0.00390 -0.01467
8 7 0.99947 -0.02631 -0.00777 -0.01749
9 8 0.99930 -0.02901 -0.01223 -0.02045
10 9 0.99908 -0.03168 -0.01717 -0.02345
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00405 0.00431 0.00153
3 2 0.99992 -0.00852 0.00864 0.00290
4 3 0.99983 -0.01267 0.01292 0.00357
5 4 0.99973 -0.01590 0.01678 0.00357
6 5 0.99962 -0.01837 0.02044 0.00303
7 6 0.99950 -0.02048 0.02390 0.00192
8 7 0.99938 -0.02253 0.02714 0.00018
9 8 0.99923 -0.02483 0.03016 -0.00220
10 9 0.99908 -0.02734 0.03280 -0.00506
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00425 0.00425 0.00062
3 2 0.99993 -0.00841 0.00794 0.00077
4 3 0.99986 -0.01235 0.01099 0.00034
5 4 0.99977 -0.01609 0.01385 -0.00062
6 5 0.99966 -0.01981 0.01652 -0.00214
7 6 0.99954 -0.02356 0.01889 -0.00410
8 7 0.99939 -0.02715 0.02092 -0.00643
9 8 0.99923 -0.03076 0.02264 -0.00917
10 9 0.99904 -0.03454 0.02410 -0.01238
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00209 0.00312 -0.00162
3 2 0.99997 -0.00548 0.00540 -0.00298
4 3 0.99993 -0.00902 0.00680 -0.00466
5 4 0.99988 -0.01234 0.00726 -0.00660
6 5 0.99982 -0.01538 0.00667 -0.00884
7 6 0.99975 -0.01827 0.00541 -0.01135
8 7 0.99967 -0.02122 0.00349 -0.01417
9 8 0.99955 -0.02436 0.00098 -0.01733
10 9 0.99941 -0.02752 -0.00190 -0.02053
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00515 0.00471 -0.00186
3 2 0.99991 -0.00983 0.00778 -0.00368
4 3 0.99984 -0.01382 0.00952 -0.00554
5 4 0.99977 -0.01717 0.01003 -0.00748
6 5 0.99971 -0.02004 0.00931 -0.00960
7 6 0.99965 -0.02260 0.00738 -0.01195
8 7 0.99957 -0.02503 0.00441 -0.01451
9 8 0.99947 -0.02759 0.00050 -0.01734
10 9 0.99932 -0.03034 -0.00411 -0.02033
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00235 0.00084 -0.00171
3 2 0.99998 -0.00510 0.00095 -0.00359
4 3 0.99995 -0.00785 0.00005 -0.00560
5 4 0.99991 -0.01042 -0.00192 -0.00780
6 5 0.99986 -0.01270 -0.00483 -0.01015
7 6 0.99977 -0.01488 -0.00831 -0.01274
8 7 0.99966 -0.01707 -0.01211 -0.01564
9 8 0.99951 -0.01938 -0.01608 -0.01867
10 9 0.99931 -0.02210 -0.02023 -0.02183
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00533 -0.00027 -0.00156
3 2 0.99995 -0.00966 -0.00140 -0.00320
4 3 0.99990 -0.01304 -0.00301 -0.00498
5 4 0.99984 -0.01561 -0.00493 -0.00690
6 5 0.99978 -0.01767 -0.00715 -0.00898
7 6 0.99970 -0.01961 -0.00970 -0.01124
8 7 0.99960 -0.02151 -0.01247 -0.01360
9 8 0.99947 -0.02369 -0.01561 -0.01595
10 9 0.99929 -0.02653 -0.01923 -0.01841
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00707 0.00004 -0.00247
3 2 0.99990 -0.01371 -0.00041 -0.00458
4 3 0.99979 -0.01955 -0.00139 -0.00629
5 4 0.99967 -0.02430 -0.00285 -0.00774
6 5 0.99955 -0.02813 -0.00484 -0.00902
7 6 0.99943 -0.03123 -0.00727 -0.01013
8 7 0.99932 -0.03373 -0.01021 -0.01109
9 8 0.99918 -0.03600 -0.01385 -0.01194
10 9 0.99902 -0.03834 -0.01822 -0.01267
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00695 -0.00014 -0.00269
3 2 0.99992 -0.01208 -0.00063 -0.00454
4 3 0.99985 -0.01588 -0.00148 -0.00599
5 4 0.99980 -0.01870 -0.00287 -0.00720
6 5 0.99973 -0.02115 -0.00486 -0.00827
7 6 0.99965 -0.02347 -0.00765 -0.00911
8 7 0.99956 -0.02579 -0.01108 -0.00972
9 8 0.99944 -0.02819 -0.01509 -0.01006
10 9 0.99929 -0.03074 -0.01952 -0.01014
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00476 0.00215 -0.00171
3 2 0.99994 -0.00960 0.00361 -0.00354
4 3 0.99988 -0.01383 0.00434 -0.00547
5 4 0.99981 -0.01732 0.00438 -0.00750
6 5 0.99974 -0.02006 0.00385 -0.00975
7 6 0.99968 -0.02223 0.00288 -0.01213
8 7 0.99960 -0.02415 0.00154 -0.01460
9 8 0.99952 -0.02588 -0.00022 -0.01710
10 9 0.99943 -0.02754 -0.00240 -0.01960
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00419 0.00323 -0.00229
3 2 0.99993 -0.00931 0.00604 -0.00459
4 3 0.99985 -0.01402 0.00800 -0.00669
5 4 0.99975 -0.01841 0.00902 -0.00878
6 5 0.99965 -0.02210 0.00936 -0.01090
7 6 0.99955 -0.02509 0.00929 -0.01321
8 7 0.99947 -0.02729 0.00871 -0.01577
9 8 0.99938 -0.02885 0.00770 -0.01842
10 9 0.99930 -0.03014 0.00632 -0.02131
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00573 0.00143 -0.00189
3 2 0.99991 -0.01206 0.00264 -0.00420
4 3 0.99983 -0.01723 0.00271 -0.00639
5 4 0.99974 -0.02121 0.00206 -0.00856
6 5 0.99965 -0.02408 0.00087 -0.01070
7 6 0.99957 -0.02637 -0.00081 -0.01282
8 7 0.99948 -0.02838 -0.00308 -0.01489
9 8 0.99939 -0.03007 -0.00597 -0.01679
10 9 0.99929 -0.03162 -0.00930 -0.01846
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00462 0.00241 -0.00275
3 2 0.99994 -0.00897 0.00467 -0.00514
4 3 0.99988 -0.01266 0.00583 -0.00719
5 4 0.99982 -0.01565 0.00599 -0.00898
6 5 0.99977 -0.01798 0.00544 -0.01055
7 6 0.99972 -0.01979 0.00434 -0.01192
8 7 0.99969 -0.02096 0.00261 -0.01314
9 8 0.99966 -0.02165 0.00047 -0.01426
10 9 0.99963 -0.02223 -0.00199 -0.01532
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00720 0.00242 -0.00153
3 2 0.99987 -0.01510 0.00372 -0.00326
4 3 0.99975 -0.02176 0.00342 -0.00494
5 4 0.99962 -0.02674 0.00204 -0.00675
6 5 0.99949 -0.03053 -0.00017 -0.00893
7 6 0.99938 -0.03317 -0.00317 -0.01166
8 7 0.99925 -0.03517 -0.00677 -0.01487
9 8 0.99910 -0.03674 -0.01065 -0.01835
10 9 0.99893 -0.03794 -0.01466 -0.02180
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00659 0.00207 -0.00181
3 2 0.99991 -0.01247 0.00279 -0.00382
4 3 0.99981 -0.01825 0.00217 -0.00610
5 4 0.99969 -0.02331 0.00064 -0.00876
6 5 0.99957 -0.02701 -0.00142 -0.01154
7 6 0.99945 -0.02960 -0.00394 -0.01439
8 7 0.99932 -0.03177 -0.00704 -0.01750
9 8 0.99915 -0.03369 -0.01089 -0.02097
10 9 0.99895 -0.03549 -0.01532 -0.02452
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00663 0.00021 -0.00243
3 2 0.99988 -0.01471 0.00034 -0.00465
4 3 0.99972 -0.02272 0.00009 -0.00650
5 4 0.99953 -0.02972 -0.00061 -0.00802
6 5 0.99932 -0.03550 -0.00184 -0.00932
7 6 0.99914 -0.04005 -0.00367 -0.01046
8 7 0.99897 -0.04344 -0.00619 -0.01141
9 8 0.99882 -0.04607 -0.00966 -0.01220
10 9 0.99866 -0.04821 -0.01376 -0.01287
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00714 0.00038 -0.00254
3 2 0.99988 -0.01497 0.00045 -0.00502
4 3 0.99971 -0.02297 0.00032 -0.00712
5 4 0.99950 -0.03043 -0.00039 -0.00908
6 5 0.99927 -0.03663 -0.00193 -0.01098
7 6 0.99904 -0.04159 -0.00432 -0.01282
8 7 0.99884 -0.04535 -0.00733 -0.01440
9 8 0.99866 -0.04805 -0.01074 -0.01563
10 9 0.99848 -0.05034 -0.01466 -0.01669
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00528 0.00375 -0.00126
3 2 0.99991 -0.01144 0.00582 -0.00275
4 3 0.99982 -0.01721 0.00620 -0.00435
5 4 0.99973 -0.02200 0.00518 -0.00620
6 5 0.99963 -0.02573 0.00322 -0.00826
7 6 0.99953 -0.02882 0.00048 -0.01062
8 7 0.99942 -0.03126 -0.00302 -0.01335
9 8 0.99929 -0.03319 -0.00718 -0.01641
10 9 0.99913 -0.03493 -0.01160 -0.01962
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00512 0.00273 -0.00155
3 2 0.99992 -0.01133 0.00456 -0.00321
4 3 0.99984 -0.01681 0.00467 -0.00494
5 4 0.99973 -0.02194 0.00328 -0.00696
6 5 0.99962 -0.02613 0.00100 -0.00926
7 6 0.99950 -0.02918 -0.00188 -0.01179
8 7 0.99939 -0.03127 -0.00534 -0.01474
9 8 0.99925 -0.03292 -0.00948 -0.01816
10 9 0.99907 -0.03431 -0.01406 -0.02196
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00711 0.00274 -0.00228
3 2 0.99987 -0.01482 0.00461 -0.00373
4 3 0.99973 -0.02197 0.00598 -0.00478
5 4 0.99956 -0.02819 0.00676 -0.00565
6 5 0.99939 -0.03368 0.00666 -0.00653
7 6 0.99923 -0.03813 0.00532 -0.00749
8 7 0.99908 -0.04184 0.00279 -0.00863
9 8 0.99894 -0.04503 -0.00074 -0.00980
10 9 0.99880 -0.04758 -0.00477 -0.01069
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99997 -0.00651 0.00286 -0.00281
3 2 0.99988 -0.01414 0.00436 -0.00499
4 3 0.99973 -0.02183 0.00545 -0.00659
5 4 0.99953 -0.02891 0.00602 -0.00790
6 5 0.99933 -0.03506 0.00587 -0.00911
7 6 0.99914 -0.03996 0.00463 -0.01022
8 7 0.99898 -0.04372 0.00213 -0.01118
9 8 0.99884 -0.04661 -0.00128 -0.01193
10 9 0.99870 -0.04901 -0.00553 -0.01258
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00302 0.00113 -0.00151
3 2 0.99997 -0.00638 0.00220 -0.00322
4 3 0.99994 -0.00937 0.00311 -0.00477
5 4 0.99989 -0.01261 0.00416 -0.00637
6 5 0.99983 -0.01563 0.00505 -0.00809
7 6 0.99976 -0.01847 0.00560 -0.00990
8 7 0.99968 -0.02155 0.00614 -0.01176
9 8 0.99959 -0.02433 0.00655 -0.01374
10 9 0.99948 -0.02745 0.00703 -0.01567
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00329 0.00247 -0.00075
3 2 0.99997 -0.00667 0.00428 -0.00166
4 3 0.99993 -0.00956 0.00557 -0.00278
5 4 0.99990 -0.01174 0.00653 -0.00410
6 5 0.99987 -0.01355 0.00714 -0.00570
7 6 0.99983 -0.01523 0.00738 -0.00764
8 7 0.99978 -0.01690 0.00728 -0.00988
9 8 0.99973 -0.01842 0.00677 -0.01232
10 9 0.99967 -0.02005 0.00599 -0.01495
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00610 0.00042 -0.00038
3 2 0.99994 -0.01134 0.00032 -0.00076
4 3 0.99988 -0.01519 -0.00078 -0.00120
5 4 0.99984 -0.01766 -0.00248 -0.00191
6 5 0.99980 -0.01908 -0.00482 -0.00304
7 6 0.99976 -0.02000 -0.00807 -0.00449
8 7 0.99969 -0.02071 -0.01211 -0.00625
9 8 0.99960 -0.02125 -0.01668 -0.00821
10 9 0.99949 -0.02144 -0.02143 -0.01013
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 1.00000 -0.00277 -0.00053 -0.00115
3 2 0.99998 -0.00556 -0.00132 -0.00200
4 3 0.99996 -0.00750 -0.00291 -0.00307
5 4 0.99994 -0.00866 -0.00505 -0.00436
6 5 0.99991 -0.00937 -0.00795 -0.00584
7 6 0.99986 -0.00978 -0.01127 -0.00743
8 7 0.99979 -0.01002 -0.01528 -0.00917
9 8 0.99969 -0.01031 -0.01992 -0.01086
10 9 0.99956 -0.01066 -0.02488 -0.01241
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00279 0.00336 -0.00123
3 2 0.99996 -0.00597 0.00543 -0.00260
4 3 0.99993 -0.00920 0.00668 -0.00432
5 4 0.99988 -0.01221 0.00746 -0.00640
6 5 0.99982 -0.01495 0.00809 -0.00878
7 6 0.99975 -0.01729 0.00865 -0.01145
8 7 0.99966 -0.01950 0.00910 -0.01446
9 8 0.99956 -0.02175 0.00938 -0.01770
10 9 0.99944 -0.02412 0.00955 -0.02119
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99999 -0.00416 0.00339 -0.00072
3 2 0.99995 -0.00789 0.00617 -0.00193
4 3 0.99990 -0.01085 0.00802 -0.00350
5 4 0.99985 -0.01332 0.00924 -0.00550
6 5 0.99980 -0.01560 0.00991 -0.00788
7 6 0.99973 -0.01788 0.01027 -0.01052
8 7 0.99965 -0.02027 0.01034 -0.01340
9 8 0.99955 -0.02281 0.01017 -0.01643
10 9 0.99943 -0.02556 0.00979 -0.01956
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00638 0.00002 -0.00025
3 2 0.99994 -0.01132 -0.00043 -0.00098
4 3 0.99988 -0.01541 -0.00199 -0.00194
5 4 0.99981 -0.01862 -0.00430 -0.00315
6 5 0.99974 -0.02107 -0.00710 -0.00464
7 6 0.99966 -0.02300 -0.01043 -0.00643
8 7 0.99956 -0.02460 -0.01408 -0.00832
9 8 0.99944 -0.02608 -0.01809 -0.01027
10 9 0.99929 -0.02759 -0.02243 -0.01224
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 1.00000 0.00000 0.00000 0.00000
2 1 0.99998 -0.00584 0.00114 0.00003
3 2 0.99994 -0.01095 0.00083 -0.00055
4 3 0.99989 -0.01505 -0.00086 -0.00150
5 4 0.99983 -0.01812 -0.00335 -0.00284
6 5 0.99976 -0.02027 -0.00631 -0.00465
7 6 0.99969 -0.02192 -0.00976 -0.00685
8 7 0.99959 -0.02319 -0.01365 -0.00928
9 8 0.99948 -0.02417 -0.01773 -0.01168
10 9 0.99935 -0.02493 -0.02203 -0.01396
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function normalize() works
Code
normalize(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
normalize(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function resample() works
Code
resample(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
resample(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<dbl> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function smooth() works
Code
smooth(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99467 0.07637 0.06803 0.01301
2 1 0.99505 0.07302 0.06618 0.01268
3 2 0.99552 0.06888 0.06361 0.01213
4 3 0.99601 0.06453 0.06055 0.01130
5 4 0.99647 0.06045 0.05732 0.01020
6 5 0.99688 0.05684 0.05403 0.00884
7 6 0.99724 0.05380 0.05075 0.00724
8 7 0.99754 0.05128 0.04743 0.00539
9 8 0.99782 0.04912 0.04403 0.00333
10 9 0.99807 0.04709 0.04049 0.00111
# i 91 more rows
Code
smooth(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99467 0.07637 0.06803 0.01301
2 1 0.99505 0.07302 0.06618 0.01268
3 2 0.99552 0.06888 0.06361 0.01213
4 3 0.99601 0.06453 0.06055 0.01130
5 4 0.99647 0.06045 0.05732 0.01020
6 5 0.99688 0.05684 0.05403 0.00884
7 6 0.99724 0.05380 0.05075 0.00724
8 7 0.99754 0.05128 0.04743 0.00539
9 8 0.99782 0.04912 0.04403 0.00333
10 9 0.99807 0.04709 0.04049 0.00111
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99422 0.07916 0.07180 0.01004
2 1 0.99464 0.07550 0.06990 0.01015
3 2 0.99515 0.07096 0.06734 0.01014
4 3 0.99569 0.06603 0.06432 0.00992
5 4 0.99622 0.06112 0.06100 0.00942
6 5 0.99670 0.05662 0.05756 0.00859
7 6 0.99711 0.05279 0.05411 0.00743
8 7 0.99746 0.04965 0.05064 0.00594
9 8 0.99777 0.04709 0.04708 0.00414
10 9 0.99804 0.04496 0.04343 0.00210
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99303 0.09542 0.06275 -0.02921
2 1 0.99342 0.09136 0.06278 -0.02870
3 2 0.99394 0.08603 0.06247 -0.02784
4 3 0.99452 0.08000 0.06171 -0.02674
5 4 0.99510 0.07394 0.06054 -0.02554
6 5 0.99562 0.06830 0.05896 -0.02435
7 6 0.99610 0.06328 0.05697 -0.02322
8 7 0.99652 0.05898 0.05456 -0.02217
9 8 0.99690 0.05535 0.05172 -0.02122
10 9 0.99725 0.05227 0.04845 -0.02037
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99320 0.09273 0.06319 -0.03096
2 1 0.99358 0.08878 0.06330 -0.03028
3 2 0.99406 0.08371 0.06305 -0.02933
4 3 0.99460 0.07807 0.06237 -0.02821
5 4 0.99513 0.07235 0.06125 -0.02699
6 5 0.99563 0.06700 0.05971 -0.02580
7 6 0.99608 0.06230 0.05777 -0.02469
8 7 0.99647 0.05837 0.05540 -0.02369
9 8 0.99683 0.05517 0.05257 -0.02280
10 9 0.99716 0.05253 0.04923 -0.02201
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99451 0.07739 0.06860 0.01570
2 1 0.99487 0.07426 0.06693 0.01525
3 2 0.99531 0.07046 0.06462 0.01475
4 3 0.99577 0.06646 0.06179 0.01410
5 4 0.99623 0.06254 0.05862 0.01318
6 5 0.99666 0.05888 0.05526 0.01197
7 6 0.99705 0.05561 0.05182 0.01043
8 7 0.99739 0.05282 0.04837 0.00861
9 8 0.99770 0.05045 0.04490 0.00653
10 9 0.99797 0.04835 0.04132 0.00426
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99365 0.08438 0.07294 0.01466
2 1 0.99403 0.08071 0.07202 0.01449
3 2 0.99451 0.07619 0.07028 0.01432
4 3 0.99505 0.07129 0.06775 0.01406
5 4 0.99560 0.06642 0.06469 0.01360
6 5 0.99611 0.06191 0.06140 0.01287
7 6 0.99656 0.05801 0.05805 0.01181
8 7 0.99694 0.05488 0.05472 0.01037
9 8 0.99727 0.05242 0.05137 0.00855
10 9 0.99756 0.05043 0.04793 0.00640
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99558 0.07136 0.03750 -0.04826
2 1 0.99570 0.06910 0.03886 -0.04783
3 2 0.99586 0.06640 0.04048 -0.04710
4 3 0.99603 0.06349 0.04202 -0.04603
5 4 0.99623 0.06048 0.04324 -0.04465
6 5 0.99645 0.05748 0.04403 -0.04303
7 6 0.99667 0.05460 0.04433 -0.04119
8 7 0.99691 0.05194 0.04401 -0.03925
9 8 0.99715 0.04955 0.04306 -0.03727
10 9 0.99739 0.04736 0.04158 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99522 0.06723 0.04802 -0.05216
2 1 0.99536 0.06537 0.04918 -0.05057
3 2 0.99556 0.06288 0.05048 -0.04848
4 3 0.99580 0.06005 0.05152 -0.04616
5 4 0.99605 0.05711 0.05202 -0.04378
6 5 0.99632 0.05427 0.05182 -0.04144
7 6 0.99660 0.05167 0.05079 -0.03921
8 7 0.99689 0.04940 0.04892 -0.03708
9 8 0.99718 0.04745 0.04629 -0.03507
10 9 0.99748 0.04572 0.04301 -0.03313
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99460 0.07907 0.06291 0.02378
2 1 0.99501 0.07440 0.06190 0.02424
3 2 0.99555 0.06833 0.06011 0.02458
4 3 0.99614 0.06154 0.05752 0.02459
5 4 0.99673 0.05479 0.05433 0.02409
6 5 0.99726 0.04869 0.05084 0.02296
7 6 0.99770 0.04370 0.04735 0.02114
8 7 0.99805 0.03999 0.04412 0.01865
9 8 0.99832 0.03741 0.04137 0.01559
10 9 0.99852 0.03563 0.03918 0.01214
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99454 0.07652 0.06696 0.02334
2 1 0.99496 0.07145 0.06629 0.02375
3 2 0.99548 0.06514 0.06480 0.02416
4 3 0.99605 0.05834 0.06243 0.02428
5 4 0.99661 0.05162 0.05941 0.02393
6 5 0.99713 0.04550 0.05605 0.02301
7 6 0.99756 0.04041 0.05266 0.02144
8 7 0.99792 0.03660 0.04951 0.01926
9 8 0.99819 0.03404 0.04675 0.01657
10 9 0.99839 0.03248 0.04446 0.01348
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99412 0.08670 0.06301 0.01521
2 1 0.99445 0.08212 0.06392 0.01555
3 2 0.99484 0.07669 0.06452 0.01593
4 3 0.99525 0.07129 0.06433 0.01620
5 4 0.99565 0.06648 0.06316 0.01625
6 5 0.99606 0.06242 0.06093 0.01600
7 6 0.99647 0.05898 0.05766 0.01541
8 7 0.99689 0.05593 0.05357 0.01450
9 8 0.99729 0.05319 0.04906 0.01331
10 9 0.99765 0.05072 0.04458 0.01186
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99412 0.08622 0.06371 0.01521
2 1 0.99443 0.08146 0.06499 0.01573
3 2 0.99481 0.07576 0.06589 0.01644
4 3 0.99523 0.06999 0.06580 0.01721
5 4 0.99567 0.06459 0.06441 0.01788
6 5 0.99614 0.05966 0.06174 0.01835
7 6 0.99661 0.05528 0.05806 0.01847
8 7 0.99706 0.05150 0.05378 0.01815
9 8 0.99746 0.04839 0.04940 0.01735
10 9 0.99778 0.04590 0.04539 0.01606
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99598 0.04858 0.06908 0.02990
2 1 0.99623 0.04634 0.06696 0.02990
3 2 0.99655 0.04362 0.06405 0.02975
4 3 0.99687 0.04097 0.06106 0.02918
5 4 0.99715 0.03872 0.05834 0.02809
6 5 0.99739 0.03699 0.05609 0.02645
7 6 0.99759 0.03571 0.05428 0.02435
8 7 0.99776 0.03466 0.05279 0.02188
9 8 0.99793 0.03361 0.05146 0.01916
10 9 0.99809 0.03229 0.05012 0.01634
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99557 0.05496 0.07024 0.02965
2 1 0.99581 0.05261 0.06861 0.02991
3 2 0.99611 0.04966 0.06632 0.02998
4 3 0.99644 0.04666 0.06357 0.02967
5 4 0.99677 0.04396 0.06062 0.02887
6 5 0.99708 0.04178 0.05767 0.02754
7 6 0.99736 0.04013 0.05485 0.02575
8 7 0.99760 0.03888 0.05219 0.02358
9 8 0.99783 0.03775 0.04968 0.02118
10 9 0.99804 0.03645 0.04727 0.01864
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99598 0.04504 0.07674 0.01027
2 1 0.99623 0.04245 0.07491 0.01088
3 2 0.99654 0.03949 0.07222 0.01143
4 3 0.99688 0.03669 0.06888 0.01164
5 4 0.99722 0.03435 0.06516 0.01136
6 5 0.99753 0.03263 0.06133 0.01053
7 6 0.99780 0.03150 0.05760 0.00920
8 7 0.99803 0.03077 0.05409 0.00749
9 8 0.99823 0.03020 0.05086 0.00558
10 9 0.99841 0.02950 0.04792 0.00362
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99534 0.05642 0.07760 0.00917
2 1 0.99560 0.05334 0.07636 0.01001
3 2 0.99593 0.04983 0.07432 0.01086
4 3 0.99629 0.04645 0.07158 0.01146
5 4 0.99664 0.04352 0.06834 0.01164
6 5 0.99698 0.04120 0.06483 0.01134
7 6 0.99729 0.03951 0.06123 0.01052
8 7 0.99756 0.03828 0.05762 0.00925
9 8 0.99781 0.03727 0.05403 0.00763
10 9 0.99805 0.03619 0.05045 0.00582
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99650 0.06082 0.03536 0.04510
2 1 0.99671 0.05807 0.03529 0.04418
3 2 0.99696 0.05475 0.03508 0.04293
4 3 0.99722 0.05121 0.03482 0.04137
5 4 0.99748 0.04766 0.03459 0.03955
6 5 0.99772 0.04426 0.03443 0.03744
7 6 0.99795 0.04106 0.03436 0.03507
8 7 0.99816 0.03807 0.03436 0.03247
9 8 0.99835 0.03522 0.03439 0.02970
10 9 0.99852 0.03243 0.03445 0.02681
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99635 0.06001 0.03545 0.04936
2 1 0.99658 0.05706 0.03490 0.04848
3 2 0.99686 0.05355 0.03425 0.04723
4 3 0.99714 0.04993 0.03364 0.04562
5 4 0.99741 0.04645 0.03316 0.04368
6 5 0.99767 0.04325 0.03278 0.04141
7 6 0.99790 0.04036 0.03250 0.03882
8 7 0.99812 0.03774 0.03230 0.03598
9 8 0.99832 0.03522 0.03215 0.03293
10 9 0.99851 0.03270 0.03200 0.02978
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99447 0.08493 0.06130 0.00773
2 1 0.99468 0.08231 0.06146 0.00809
3 2 0.99497 0.07894 0.06112 0.00859
4 3 0.99533 0.07504 0.06006 0.00915
5 4 0.99574 0.07082 0.05831 0.00967
6 5 0.99617 0.06646 0.05597 0.01002
7 6 0.99660 0.06212 0.05314 0.01012
8 7 0.99702 0.05791 0.04991 0.00986
9 8 0.99743 0.05392 0.04636 0.00922
10 9 0.99780 0.05017 0.04261 0.00822
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99451 0.07631 0.07049 0.01220
2 1 0.99487 0.07292 0.06901 0.01254
3 2 0.99531 0.06879 0.06684 0.01291
4 3 0.99578 0.06440 0.06411 0.01308
5 4 0.99624 0.06013 0.06104 0.01291
6 5 0.99667 0.05623 0.05773 0.01235
7 6 0.99707 0.05274 0.05421 0.01139
8 7 0.99745 0.04956 0.05044 0.01009
9 8 0.99780 0.04659 0.04642 0.00850
10 9 0.99813 0.04371 0.04225 0.00674
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99545 0.07431 0.04154 0.04283
2 1 0.99574 0.07087 0.04096 0.04232
3 2 0.99609 0.06679 0.04025 0.04155
4 3 0.99644 0.06251 0.03957 0.04044
5 4 0.99678 0.05830 0.03900 0.03895
6 5 0.99709 0.05427 0.03857 0.03705
7 6 0.99739 0.05041 0.03829 0.03475
8 7 0.99766 0.04668 0.03812 0.03216
9 8 0.99792 0.04304 0.03802 0.02937
10 9 0.99815 0.03937 0.03795 0.02647
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99593 0.06752 0.04452 0.03978
2 1 0.99620 0.06432 0.04367 0.03933
3 2 0.99652 0.06032 0.04267 0.03854
4 3 0.99685 0.05609 0.04177 0.03738
5 4 0.99716 0.05202 0.04111 0.03582
6 5 0.99743 0.04828 0.04065 0.03387
7 6 0.99768 0.04487 0.04030 0.03156
8 7 0.99791 0.04175 0.04001 0.02899
9 8 0.99811 0.03872 0.03973 0.02624
10 9 0.99832 0.03560 0.03940 0.02339
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99421 0.08438 0.06484 0.01515
2 1 0.99445 0.08158 0.06464 0.01560
3 2 0.99477 0.07809 0.06386 0.01625
4 3 0.99515 0.07415 0.06234 0.01696
5 4 0.99558 0.06994 0.06014 0.01752
6 5 0.99604 0.06562 0.05737 0.01778
7 6 0.99649 0.06133 0.05418 0.01761
8 7 0.99693 0.05718 0.05066 0.01696
9 8 0.99736 0.05317 0.04687 0.01585
10 9 0.99776 0.04930 0.04286 0.01431
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99380 0.08338 0.07186 0.01597
2 1 0.99406 0.08050 0.07148 0.01616
3 2 0.99439 0.07703 0.07063 0.01657
4 3 0.99478 0.07319 0.06907 0.01704
5 4 0.99522 0.06909 0.06680 0.01746
6 5 0.99569 0.06486 0.06388 0.01767
7 6 0.99617 0.06064 0.06044 0.01756
8 7 0.99665 0.05658 0.05662 0.01703
9 8 0.99710 0.05270 0.05249 0.01607
10 9 0.99753 0.04903 0.04814 0.01472
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99700 0.06161 0.04618 0.00821
2 1 0.99717 0.06035 0.04408 0.00769
3 2 0.99743 0.05822 0.04108 0.00707
4 3 0.99775 0.05522 0.03747 0.00643
5 4 0.99810 0.05138 0.03341 0.00580
6 5 0.99848 0.04667 0.02903 0.00518
7 6 0.99885 0.04111 0.02442 0.00460
8 7 0.99919 0.03489 0.01977 0.00403
9 8 0.99948 0.02817 0.01515 0.00346
10 9 0.99972 0.02112 0.01065 0.00287
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99540 0.06556 0.06870 0.01278
2 1 0.99570 0.06337 0.06626 0.01318
3 2 0.99606 0.06061 0.06326 0.01352
4 3 0.99644 0.05757 0.06012 0.01369
5 4 0.99679 0.05447 0.05703 0.01364
6 5 0.99711 0.05160 0.05412 0.01335
7 6 0.99739 0.04907 0.05136 0.01280
8 7 0.99765 0.04682 0.04862 0.01200
9 8 0.99789 0.04471 0.04576 0.01100
10 9 0.99813 0.04255 0.04269 0.00982
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99748 0.02775 0.06213 -0.01992
2 1 0.99766 0.02733 0.05995 -0.01852
3 2 0.99785 0.02714 0.05710 -0.01698
4 3 0.99805 0.02735 0.05397 -0.01566
5 4 0.99821 0.02795 0.05071 -0.01466
6 5 0.99836 0.02883 0.04747 -0.01403
7 6 0.99848 0.02976 0.04429 -0.01374
8 7 0.99859 0.03053 0.04110 -0.01371
9 8 0.99871 0.03101 0.03782 -0.01382
10 9 0.99883 0.03110 0.03443 -0.01393
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99659 0.03846 0.06773 -0.02715
2 1 0.99677 0.03694 0.06643 -0.02580
3 2 0.99698 0.03556 0.06466 -0.02411
4 3 0.99719 0.03464 0.06258 -0.02238
5 4 0.99737 0.03432 0.06034 -0.02081
6 5 0.99753 0.03457 0.05798 -0.01958
7 6 0.99766 0.03524 0.05546 -0.01871
8 7 0.99779 0.03608 0.05274 -0.01825
9 8 0.99792 0.03684 0.04977 -0.01815
10 9 0.99805 0.03730 0.04653 -0.01829
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99667 0.03531 0.07321 -0.00668
2 1 0.99686 0.03431 0.07116 -0.00510
3 2 0.99709 0.03315 0.06853 -0.00328
4 3 0.99731 0.03220 0.06577 -0.00161
5 4 0.99750 0.03163 0.06317 -0.00034
6 5 0.99765 0.03146 0.06081 0.00041
7 6 0.99778 0.03157 0.05856 0.00066
8 7 0.99791 0.03178 0.05623 0.00050
9 8 0.99805 0.03191 0.05362 0.00004
10 9 0.99821 0.03178 0.05060 -0.00059
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99667 0.03305 0.07442 -0.00486
2 1 0.99681 0.03273 0.07266 -0.00372
3 2 0.99699 0.03212 0.07051 -0.00242
4 3 0.99717 0.03163 0.06816 -0.00128
5 4 0.99734 0.03143 0.06575 -0.00049
6 5 0.99750 0.03153 0.06329 -0.00009
7 6 0.99765 0.03185 0.06074 -0.00008
8 7 0.99780 0.03221 0.05795 -0.00036
9 8 0.99797 0.03242 0.05482 -0.00084
10 9 0.99816 0.03232 0.05125 -0.00140
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99708 0.02546 0.06380 -0.03332
2 1 0.99721 0.02489 0.06299 -0.03154
3 2 0.99735 0.02445 0.06181 -0.02951
4 3 0.99751 0.02429 0.06027 -0.02757
5 4 0.99766 0.02446 0.05841 -0.02592
6 5 0.99780 0.02491 0.05626 -0.02457
7 6 0.99795 0.02550 0.05377 -0.02345
8 7 0.99811 0.02607 0.05091 -0.02247
9 8 0.99828 0.02646 0.04762 -0.02154
10 9 0.99847 0.02658 0.04392 -0.02057
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02149 0.06334 -0.03032
2 1 0.99742 0.02108 0.06215 -0.02911
3 2 0.99755 0.02096 0.06063 -0.02772
4 3 0.99769 0.02120 0.05887 -0.02641
5 4 0.99782 0.02183 0.05683 -0.02531
6 5 0.99796 0.02275 0.05441 -0.02442
7 6 0.99811 0.02383 0.05154 -0.02366
8 7 0.99826 0.02491 0.04818 -0.02295
9 8 0.99844 0.02582 0.04434 -0.02220
10 9 0.99862 0.02639 0.04008 -0.02132
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99136 0.12123 0.01145 0.04882
2 1 0.99171 0.11804 0.01364 0.04900
3 2 0.99211 0.11417 0.01638 0.04908
4 3 0.99253 0.11009 0.01927 0.04889
5 4 0.99293 0.10612 0.02215 0.04834
6 5 0.99330 0.10240 0.02496 0.04741
7 6 0.99365 0.09893 0.02761 0.04603
8 7 0.99398 0.09561 0.03006 0.04420
9 8 0.99432 0.09233 0.03226 0.04191
10 9 0.99467 0.08897 0.03419 0.03921
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99296 0.10906 0.00956 0.04514
2 1 0.99315 0.10723 0.01151 0.04499
3 2 0.99340 0.10482 0.01386 0.04447
4 3 0.99367 0.10225 0.01634 0.04350
5 4 0.99395 0.09971 0.01875 0.04205
6 5 0.99424 0.09718 0.02100 0.04014
7 6 0.99454 0.09455 0.02302 0.03778
8 7 0.99486 0.09173 0.02472 0.03503
9 8 0.99520 0.08868 0.02609 0.03199
10 9 0.99556 0.08537 0.02716 0.02872
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99072 0.12069 0.04469 0.04369
2 1 0.99107 0.11783 0.04544 0.04272
3 2 0.99151 0.11438 0.04609 0.04129
4 3 0.99197 0.11083 0.04638 0.03952
5 4 0.99242 0.10753 0.04620 0.03745
6 5 0.99285 0.10461 0.04547 0.03513
7 6 0.99327 0.10198 0.04416 0.03255
8 7 0.99369 0.09955 0.04226 0.02975
9 8 0.99411 0.09718 0.03975 0.02672
10 9 0.99455 0.09475 0.03668 0.02347
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99064 0.11753 0.05309 0.04466
2 1 0.99104 0.11445 0.05359 0.04328
3 2 0.99152 0.11072 0.05386 0.04148
4 3 0.99204 0.10692 0.05355 0.03939
5 4 0.99257 0.10334 0.05250 0.03709
6 5 0.99309 0.10005 0.05064 0.03456
7 6 0.99362 0.09699 0.04800 0.03179
8 7 0.99415 0.09409 0.04466 0.02877
9 8 0.99466 0.09128 0.04076 0.02557
10 9 0.99516 0.08845 0.03646 0.02225
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99231 0.11602 0.00459 0.04286
2 1 0.99257 0.11325 0.00718 0.04394
3 2 0.99288 0.10981 0.01041 0.04509
4 3 0.99318 0.10628 0.01392 0.04592
5 4 0.99345 0.10305 0.01745 0.04628
6 5 0.99368 0.10019 0.02093 0.04612
7 6 0.99389 0.09760 0.02432 0.04539
8 7 0.99411 0.09508 0.02756 0.04408
9 8 0.99435 0.09250 0.03060 0.04222
10 9 0.99461 0.08976 0.03337 0.03987
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99264 0.11427 0.01209 0.03814
2 1 0.99292 0.11145 0.01446 0.03853
3 2 0.99325 0.10798 0.01721 0.03874
4 3 0.99360 0.10429 0.01998 0.03857
5 4 0.99395 0.10053 0.02267 0.03793
6 5 0.99431 0.09674 0.02523 0.03681
7 6 0.99466 0.09296 0.02760 0.03523
8 7 0.99502 0.08919 0.02975 0.03320
9 8 0.99537 0.08540 0.03167 0.03075
10 9 0.99572 0.08155 0.03339 0.02789
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99037 0.12669 0.02636 0.04923
2 1 0.99061 0.12478 0.02790 0.04838
3 2 0.99096 0.12210 0.02938 0.04727
4 3 0.99136 0.11906 0.03042 0.04583
5 4 0.99180 0.11595 0.03082 0.04402
6 5 0.99226 0.11290 0.03050 0.04184
7 6 0.99273 0.10990 0.02955 0.03930
8 7 0.99321 0.10688 0.02801 0.03643
9 8 0.99370 0.10379 0.02597 0.03328
10 9 0.99420 0.10062 0.02353 0.02996
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98946 0.13205 0.03712 0.04647
2 1 0.98983 0.12885 0.03929 0.04563
3 2 0.99028 0.12514 0.04131 0.04445
4 3 0.99074 0.12150 0.04264 0.04298
5 4 0.99121 0.11815 0.04307 0.04119
6 5 0.99167 0.11512 0.04251 0.03908
7 6 0.99215 0.11234 0.04096 0.03662
8 7 0.99264 0.10969 0.03849 0.03383
9 8 0.99316 0.10703 0.03522 0.03076
10 9 0.99368 0.10424 0.03134 0.02748
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99227 0.10873 0.04914 0.03410
2 1 0.99249 0.10701 0.04922 0.03294
3 2 0.99280 0.10479 0.04892 0.03137
4 3 0.99315 0.10237 0.04796 0.02946
5 4 0.99354 0.09994 0.04627 0.02723
6 5 0.99395 0.09758 0.04388 0.02471
7 6 0.99437 0.09525 0.04096 0.02191
8 7 0.99479 0.09286 0.03768 0.01885
9 8 0.99520 0.09034 0.03417 0.01561
10 9 0.99562 0.08757 0.03050 0.01223
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99196 0.11527 0.04664 0.02372
2 1 0.99235 0.11228 0.04610 0.02268
3 2 0.99279 0.10897 0.04514 0.02128
4 3 0.99322 0.10587 0.04378 0.01958
5 4 0.99362 0.10313 0.04210 0.01763
6 5 0.99399 0.10069 0.04010 0.01546
7 6 0.99435 0.09835 0.03781 0.01310
8 7 0.99471 0.09594 0.03523 0.01061
9 8 0.99509 0.09323 0.03234 0.00802
10 9 0.99550 0.08997 0.02914 0.00535
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98926 0.12688 0.07155 0.01241
2 1 0.98983 0.12254 0.07137 0.01127
3 2 0.99050 0.11745 0.07088 0.00995
4 3 0.99116 0.11241 0.06997 0.00863
5 4 0.99177 0.10786 0.06858 0.00735
6 5 0.99233 0.10391 0.06670 0.00611
7 6 0.99284 0.10054 0.06432 0.00492
8 7 0.99332 0.09761 0.06140 0.00378
9 8 0.99380 0.09491 0.05787 0.00270
10 9 0.99428 0.09225 0.05376 0.00173
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99015 0.11894 0.07294 0.01211
2 1 0.99062 0.11517 0.07269 0.01094
3 2 0.99113 0.11116 0.07216 0.00968
4 3 0.99161 0.10753 0.07123 0.00847
5 4 0.99206 0.10439 0.06981 0.00733
6 5 0.99249 0.10160 0.06781 0.00627
7 6 0.99294 0.09900 0.06517 0.00533
8 7 0.99340 0.09647 0.06192 0.00453
9 8 0.99388 0.09389 0.05812 0.00391
10 9 0.99437 0.09115 0.05384 0.00349
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99231 0.10966 0.04891 0.02998
2 1 0.99262 0.10660 0.04993 0.02903
3 2 0.99300 0.10292 0.05088 0.02773
4 3 0.99339 0.09925 0.05148 0.02615
5 4 0.99375 0.09591 0.05163 0.02432
6 5 0.99409 0.09301 0.05134 0.02225
7 6 0.99441 0.09053 0.05062 0.01998
8 7 0.99471 0.08832 0.04951 0.01755
9 8 0.99500 0.08630 0.04800 0.01501
10 9 0.99529 0.08433 0.04610 0.01238
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99297 0.10814 0.04104 0.02527
2 1 0.99325 0.10510 0.04286 0.02409
3 2 0.99360 0.10119 0.04483 0.02259
4 3 0.99397 0.09708 0.04648 0.02093
5 4 0.99433 0.09313 0.04760 0.01911
6 5 0.99466 0.08960 0.04820 0.01712
7 6 0.99496 0.08660 0.04834 0.01492
8 7 0.99522 0.08416 0.04803 0.01250
9 8 0.99544 0.08222 0.04729 0.00992
10 9 0.99565 0.08062 0.04614 0.00724
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99194 0.10890 0.06083 0.02214
2 1 0.99233 0.10517 0.06148 0.02107
3 2 0.99280 0.10061 0.06203 0.01960
4 3 0.99326 0.09619 0.06211 0.01789
5 4 0.99369 0.09233 0.06164 0.01601
6 5 0.99407 0.08912 0.06064 0.01403
7 6 0.99443 0.08645 0.05913 0.01198
8 7 0.99477 0.08417 0.05709 0.00993
9 8 0.99509 0.08216 0.05453 0.00793
10 9 0.99542 0.08028 0.05153 0.00606
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99351 0.09884 0.05200 0.02172
2 1 0.99374 0.09598 0.05333 0.02038
3 2 0.99402 0.09263 0.05471 0.01882
4 3 0.99429 0.08939 0.05563 0.01723
5 4 0.99456 0.08653 0.05591 0.01568
6 5 0.99480 0.08415 0.05556 0.01419
7 6 0.99503 0.08226 0.05464 0.01278
8 7 0.99524 0.08084 0.05318 0.01141
9 8 0.99544 0.07977 0.05125 0.01009
10 9 0.99565 0.07887 0.04891 0.00879
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98806 0.14472 0.03704 0.03782
2 1 0.98872 0.14010 0.03784 0.03700
3 2 0.98953 0.13448 0.03828 0.03580
4 3 0.99032 0.12902 0.03794 0.03425
5 4 0.99103 0.12431 0.03683 0.03230
6 5 0.99165 0.12048 0.03503 0.02988
7 6 0.99217 0.11748 0.03263 0.02695
8 7 0.99262 0.11512 0.02977 0.02359
9 8 0.99302 0.11320 0.02661 0.01993
10 9 0.99336 0.11154 0.02325 0.01612
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98872 0.14029 0.03036 0.04272
2 1 0.98931 0.13627 0.03097 0.04158
3 2 0.99001 0.13157 0.03116 0.03994
4 3 0.99073 0.12677 0.03067 0.03784
5 4 0.99141 0.12238 0.02953 0.03533
6 5 0.99201 0.11870 0.02783 0.03248
7 6 0.99252 0.11574 0.02564 0.02935
8 7 0.99296 0.11327 0.02295 0.02593
9 8 0.99336 0.11114 0.01977 0.02224
10 9 0.99372 0.10920 0.01622 0.01840
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98624 0.15213 0.06407 0.00881
2 1 0.98696 0.14739 0.06421 0.00768
3 2 0.98787 0.14125 0.06424 0.00639
4 3 0.98881 0.13470 0.06395 0.00512
5 4 0.98969 0.12847 0.06324 0.00392
6 5 0.99046 0.12298 0.06202 0.00277
7 6 0.99114 0.11838 0.06022 0.00164
8 7 0.99173 0.11465 0.05776 0.00052
9 8 0.99225 0.11162 0.05463 -0.00057
10 9 0.99273 0.10909 0.05091 -0.00162
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98526 0.15239 0.07667 0.01231
2 1 0.98601 0.14746 0.07686 0.01112
3 2 0.98694 0.14122 0.07689 0.00968
4 3 0.98791 0.13450 0.07661 0.00820
5 4 0.98885 0.12796 0.07585 0.00667
6 5 0.98971 0.12210 0.07445 0.00507
7 6 0.99047 0.11712 0.07241 0.00343
8 7 0.99114 0.11305 0.06976 0.00181
9 8 0.99173 0.10976 0.06658 0.00028
10 9 0.99227 0.10698 0.06287 -0.00114
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98860 0.14377 0.03430 0.02856
2 1 0.98909 0.14013 0.03580 0.02793
3 2 0.98972 0.13555 0.03692 0.02693
4 3 0.99038 0.13082 0.03718 0.02554
5 4 0.99101 0.12647 0.03651 0.02374
6 5 0.99159 0.12272 0.03499 0.02153
7 6 0.99211 0.11955 0.03275 0.01892
8 7 0.99257 0.11690 0.02988 0.01591
9 8 0.99297 0.11466 0.02653 0.01257
10 9 0.99333 0.11267 0.02287 0.00903
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98793 0.14577 0.03722 0.03695
2 1 0.98844 0.14218 0.03829 0.03612
3 2 0.98910 0.13761 0.03907 0.03493
4 3 0.98980 0.13290 0.03902 0.03334
5 4 0.99049 0.12846 0.03804 0.03133
6 5 0.99112 0.12459 0.03628 0.02888
7 6 0.99168 0.12145 0.03391 0.02601
8 7 0.99215 0.11897 0.03103 0.02270
9 8 0.99257 0.11694 0.02772 0.01897
10 9 0.99294 0.11515 0.02415 0.01493
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98694 0.15222 0.05254 0.00475
2 1 0.98758 0.14751 0.05400 0.00405
3 2 0.98836 0.14165 0.05541 0.00338
4 3 0.98915 0.13558 0.05645 0.00277
5 4 0.98990 0.12982 0.05692 0.00214
6 5 0.99059 0.12461 0.05663 0.00139
7 6 0.99122 0.12007 0.05541 0.00044
8 7 0.99180 0.11617 0.05327 -0.00071
9 8 0.99234 0.11282 0.05031 -0.00197
10 9 0.99283 0.10995 0.04671 -0.00320
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98625 0.15366 0.06077 0.00383
2 1 0.98687 0.14903 0.06224 0.00280
3 2 0.98767 0.14307 0.06356 0.00169
4 3 0.98852 0.13664 0.06449 0.00068
5 4 0.98934 0.13038 0.06488 -0.00026
6 5 0.99009 0.12469 0.06454 -0.00121
7 6 0.99077 0.11983 0.06332 -0.00221
8 7 0.99138 0.11580 0.06113 -0.00326
9 8 0.99194 0.11251 0.05805 -0.00433
10 9 0.99247 0.10973 0.05418 -0.00541
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99741 0.06531 0.01947 -0.02283
2 1 0.99751 0.06323 0.02029 -0.02380
3 2 0.99762 0.06059 0.02128 -0.02505
4 3 0.99773 0.05775 0.02231 -0.02643
5 4 0.99784 0.05476 0.02335 -0.02790
6 5 0.99793 0.05178 0.02432 -0.02948
7 6 0.99801 0.04881 0.02517 -0.03114
8 7 0.99807 0.04581 0.02596 -0.03287
9 8 0.99812 0.04283 0.02671 -0.03465
10 9 0.99817 0.03976 0.02751 -0.03642
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99577 0.09054 0.01440 0.00661
2 1 0.99594 0.08847 0.01572 0.00612
3 2 0.99614 0.08597 0.01711 0.00540
4 3 0.99633 0.08350 0.01834 0.00442
5 4 0.99650 0.08128 0.01932 0.00318
6 5 0.99665 0.07928 0.02002 0.00164
7 6 0.99679 0.07742 0.02043 -0.00020
8 7 0.99692 0.07564 0.02054 -0.00233
9 8 0.99705 0.07388 0.02036 -0.00468
10 9 0.99718 0.07204 0.01995 -0.00723
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08409 0.06559 0.00940
2 1 0.99454 0.08071 0.06542 0.00930
3 2 0.99488 0.07701 0.06488 0.00906
4 3 0.99520 0.07374 0.06376 0.00858
5 4 0.99550 0.07119 0.06204 0.00778
6 5 0.99578 0.06935 0.05971 0.00658
7 6 0.99606 0.06801 0.05671 0.00502
8 7 0.99633 0.06700 0.05311 0.00315
9 8 0.99660 0.06622 0.04903 0.00105
10 9 0.99685 0.06558 0.04464 -0.00115
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99444 0.08223 0.06537 0.00785
2 1 0.99462 0.08058 0.06475 0.00717
3 2 0.99484 0.07868 0.06373 0.00632
4 3 0.99508 0.07700 0.06219 0.00523
5 4 0.99531 0.07570 0.06010 0.00389
6 5 0.99555 0.07474 0.05744 0.00232
7 6 0.99578 0.07402 0.05424 0.00058
8 7 0.99602 0.07343 0.05052 -0.00129
9 8 0.99626 0.07285 0.04632 -0.00320
10 9 0.99650 0.07216 0.04178 -0.00507
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99456 0.09719 0.03544 0.01214
2 1 0.99470 0.09519 0.03712 0.01139
3 2 0.99489 0.09261 0.03878 0.01030
4 3 0.99511 0.08978 0.04016 0.00883
5 4 0.99533 0.08695 0.04128 0.00700
6 5 0.99554 0.08422 0.04221 0.00482
7 6 0.99573 0.08163 0.04302 0.00233
8 7 0.99591 0.07913 0.04371 -0.00046
9 8 0.99607 0.07660 0.04426 -0.00350
10 9 0.99624 0.07396 0.04467 -0.00678
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99465 0.09554 0.03835 0.00794
2 1 0.99482 0.09305 0.04021 0.00745
3 2 0.99501 0.09018 0.04223 0.00658
4 3 0.99519 0.08736 0.04398 0.00530
5 4 0.99537 0.08471 0.04535 0.00360
6 5 0.99554 0.08216 0.04636 0.00152
7 6 0.99571 0.07963 0.04705 -0.00086
8 7 0.99589 0.07704 0.04747 -0.00350
9 8 0.99607 0.07434 0.04766 -0.00630
10 9 0.99626 0.07151 0.04769 -0.00922
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99403 0.09094 0.05980 0.00757
2 1 0.99437 0.08743 0.05938 0.00733
3 2 0.99476 0.08358 0.05855 0.00680
4 3 0.99514 0.07995 0.05710 0.00594
5 4 0.99552 0.07678 0.05506 0.00474
6 5 0.99586 0.07410 0.05251 0.00322
7 6 0.99619 0.07184 0.04950 0.00142
8 7 0.99649 0.06986 0.04611 -0.00058
9 8 0.99678 0.06803 0.04238 -0.00270
10 9 0.99706 0.06620 0.03835 -0.00490
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99311 0.09950 0.06103 0.01011
2 1 0.99345 0.09616 0.06097 0.01001
3 2 0.99385 0.09239 0.06032 0.00954
4 3 0.99426 0.08885 0.05889 0.00863
5 4 0.99466 0.08584 0.05680 0.00726
6 5 0.99503 0.08341 0.05418 0.00544
7 6 0.99536 0.08144 0.05110 0.00325
8 7 0.99567 0.07983 0.04765 0.00080
9 8 0.99595 0.07846 0.04390 -0.00175
10 9 0.99621 0.07720 0.03991 -0.00432
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
The function hemispherize() works
Code
hemispherize(vespa64$igp[[1]])
Output
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
Code
hemispherize(vespa64$igp)
Output
[[1]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99427 0.07973 0.06988 0.01334
2 1 0.99483 0.07457 0.06763 0.01313
3 2 0.99542 0.06931 0.06457 0.01269
4 3 0.99602 0.06398 0.06091 0.01184
5 4 0.99652 0.05949 0.05742 0.01070
6 5 0.99694 0.05572 0.05403 0.00932
7 6 0.99729 0.05275 0.05079 0.00772
8 7 0.99757 0.05056 0.04761 0.00583
9 8 0.99782 0.04883 0.04430 0.00366
10 9 0.99805 0.04730 0.04071 0.00125
# i 91 more rows
[[2]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99379 0.08282 0.07370 0.00994
2 1 0.99441 0.07727 0.07120 0.01036
3 2 0.99503 0.07171 0.06829 0.01059
4 3 0.99565 0.06598 0.06489 0.01047
5 4 0.99625 0.06032 0.06124 0.01005
6 5 0.99677 0.05525 0.05756 0.00927
7 6 0.99717 0.05142 0.05417 0.00810
8 7 0.99751 0.04849 0.05080 0.00655
9 8 0.99780 0.04622 0.04723 0.00461
10 9 0.99806 0.04442 0.04345 0.00237
# i 91 more rows
[[3]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99262 0.09948 0.06271 -0.02971
2 1 0.99312 0.09388 0.06347 -0.02941
3 2 0.99375 0.08743 0.06335 -0.02831
4 3 0.99446 0.08006 0.06255 -0.02696
5 4 0.99511 0.07312 0.06135 -0.02551
6 5 0.99566 0.06703 0.05977 -0.02423
7 6 0.99614 0.06183 0.05782 -0.02305
8 7 0.99656 0.05763 0.05543 -0.02198
9 8 0.99692 0.05426 0.05257 -0.02103
10 9 0.99726 0.05151 0.04915 -0.02020
# i 91 more rows
[[4]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99281 0.09669 0.06308 -0.03165
2 1 0.99331 0.09099 0.06403 -0.03082
3 2 0.99390 0.08485 0.06391 -0.02969
4 3 0.99452 0.07821 0.06324 -0.02837
5 4 0.99514 0.07160 0.06207 -0.02695
6 5 0.99567 0.06570 0.06052 -0.02564
7 6 0.99613 0.06075 0.05862 -0.02447
8 7 0.99651 0.05693 0.05633 -0.02347
9 8 0.99685 0.05402 0.05358 -0.02258
10 9 0.99716 0.05187 0.05014 -0.02182
# i 91 more rows
[[5]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99414 0.08053 0.07026 0.01615
2 1 0.99469 0.07558 0.06822 0.01535
3 2 0.99521 0.07085 0.06566 0.01506
4 3 0.99574 0.06628 0.06246 0.01461
5 4 0.99623 0.06202 0.05899 0.01379
6 5 0.99669 0.05810 0.05541 0.01259
7 6 0.99710 0.05466 0.05184 0.01102
8 7 0.99743 0.05196 0.04844 0.00912
9 8 0.99771 0.04994 0.04508 0.00691
10 9 0.99795 0.04836 0.04157 0.00448
# i 91 more rows
[[6]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99326 0.08804 0.07386 0.01483
2 1 0.99376 0.08244 0.07368 0.01449
3 2 0.99434 0.07693 0.07184 0.01450
4 3 0.99498 0.07123 0.06879 0.01445
5 4 0.99561 0.06567 0.06516 0.01412
6 5 0.99617 0.06071 0.06152 0.01353
7 6 0.99664 0.05649 0.05800 0.01258
8 7 0.99700 0.05351 0.05475 0.01112
9 8 0.99730 0.05149 0.05157 0.00922
10 9 0.99757 0.04996 0.04815 0.00687
# i 91 more rows
[[7]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99544 0.07361 0.03614 -0.04869
2 1 0.99563 0.07000 0.03835 -0.04843
3 2 0.99579 0.06682 0.04066 -0.04779
4 3 0.99597 0.06369 0.04263 -0.04663
5 4 0.99617 0.06045 0.04409 -0.04516
6 5 0.99640 0.05724 0.04502 -0.04345
7 6 0.99663 0.05414 0.04557 -0.04139
8 7 0.99688 0.05142 0.04526 -0.03931
9 8 0.99712 0.04916 0.04413 -0.03727
10 9 0.99736 0.04716 0.04244 -0.03530
# i 91 more rows
[[8]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99506 0.06909 0.04686 -0.05375
2 1 0.99525 0.06662 0.04888 -0.05157
3 2 0.99547 0.06355 0.05103 -0.04893
4 3 0.99572 0.06026 0.05258 -0.04627
5 4 0.99599 0.05693 0.05343 -0.04370
6 5 0.99627 0.05376 0.05346 -0.04124
7 6 0.99656 0.05103 0.05246 -0.03897
8 7 0.99685 0.04876 0.05047 -0.03688
9 8 0.99715 0.04701 0.04758 -0.03491
10 9 0.99745 0.04557 0.04389 -0.03303
# i 91 more rows
[[9]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99416 0.08373 0.06392 0.02332
2 1 0.99469 0.07722 0.06345 0.02448
3 2 0.99533 0.06977 0.06172 0.02525
4 3 0.99605 0.06144 0.05870 0.02562
5 4 0.99673 0.05348 0.05494 0.02533
6 5 0.99733 0.04646 0.05084 0.02434
7 6 0.99780 0.04115 0.04679 0.02247
8 7 0.99816 0.03771 0.04320 0.01981
9 8 0.99842 0.03582 0.04020 0.01636
10 9 0.99859 0.03487 0.03794 0.01247
# i 91 more rows
[[10]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99410 0.08159 0.06763 0.02292
2 1 0.99466 0.07394 0.06792 0.02377
3 2 0.99529 0.06609 0.06654 0.02472
4 3 0.99595 0.05819 0.06373 0.02520
5 4 0.99660 0.05040 0.06008 0.02510
6 5 0.99718 0.04344 0.05611 0.02428
7 6 0.99766 0.03784 0.05219 0.02265
8 7 0.99802 0.03411 0.04873 0.02029
9 8 0.99829 0.03204 0.04579 0.01737
10 9 0.99846 0.03142 0.04348 0.01395
# i 91 more rows
[[11]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09127 0.06209 0.01488
2 1 0.99427 0.08384 0.06456 0.01546
3 2 0.99474 0.07662 0.06608 0.01613
4 3 0.99520 0.07008 0.06629 0.01666
5 4 0.99560 0.06501 0.06528 0.01686
6 5 0.99600 0.06116 0.06301 0.01667
7 6 0.99642 0.05817 0.05930 0.01604
8 7 0.99687 0.05533 0.05442 0.01509
9 8 0.99731 0.05265 0.04899 0.01382
10 9 0.99771 0.05023 0.04370 0.01222
# i 91 more rows
[[12]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99378 0.09099 0.06243 0.01470
2 1 0.99423 0.08331 0.06576 0.01532
3 2 0.99467 0.07589 0.06787 0.01635
4 3 0.99510 0.06927 0.06838 0.01739
5 4 0.99556 0.06364 0.06695 0.01831
6 5 0.99606 0.05855 0.06378 0.01903
7 6 0.99659 0.05407 0.05925 0.01932
8 7 0.99710 0.05016 0.05397 0.01914
9 8 0.99753 0.04716 0.04864 0.01831
10 9 0.99786 0.04505 0.04430 0.01688
# i 91 more rows
[[13]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.05082 0.07120 0.02989
2 1 0.99607 0.04731 0.06851 0.03020
3 2 0.99652 0.04346 0.06424 0.03059
4 3 0.99690 0.04018 0.06048 0.03024
5 4 0.99721 0.03769 0.05743 0.02918
6 5 0.99745 0.03611 0.05520 0.02739
7 6 0.99762 0.03522 0.05363 0.02507
8 7 0.99777 0.03469 0.05249 0.02237
9 8 0.99790 0.03413 0.05149 0.01936
10 9 0.99805 0.03312 0.05041 0.01624
# i 91 more rows
[[14]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99533 0.05730 0.07186 0.02939
2 1 0.99564 0.05383 0.06994 0.03028
3 2 0.99602 0.04977 0.06725 0.03076
4 3 0.99642 0.04603 0.06398 0.03065
5 4 0.99679 0.04294 0.06059 0.02990
6 5 0.99711 0.04071 0.05741 0.02849
7 6 0.99739 0.03935 0.05452 0.02648
8 7 0.99761 0.03863 0.05191 0.02407
9 8 0.99782 0.03810 0.04948 0.02144
10 9 0.99802 0.03731 0.04712 0.01868
# i 91 more rows
[[15]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99572 0.04763 0.07857 0.00966
2 1 0.99606 0.04320 0.07662 0.01099
3 2 0.99645 0.03916 0.07353 0.01212
4 3 0.99685 0.03575 0.06964 0.01263
5 4 0.99723 0.03312 0.06537 0.01245
6 5 0.99757 0.03146 0.06115 0.01154
7 6 0.99784 0.03067 0.05716 0.00996
8 7 0.99807 0.03046 0.05351 0.00791
9 8 0.99826 0.03047 0.05026 0.00564
10 9 0.99841 0.03027 0.04742 0.00342
# i 91 more rows
[[16]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.05950 0.07884 0.00834
2 1 0.99543 0.05417 0.07795 0.00998
3 2 0.99583 0.04959 0.07573 0.01138
4 3 0.99625 0.04556 0.07256 0.01228
5 4 0.99665 0.04230 0.06889 0.01263
6 5 0.99701 0.03996 0.06501 0.01235
7 6 0.99731 0.03857 0.06124 0.01144
8 7 0.99757 0.03784 0.05758 0.00995
9 8 0.99781 0.03740 0.05400 0.00803
10 9 0.99803 0.03681 0.05039 0.00590
# i 91 more rows
[[17]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99629 0.06356 0.03543 0.04602
2 1 0.99660 0.05922 0.03558 0.04486
3 2 0.99691 0.05521 0.03517 0.04352
4 3 0.99720 0.05120 0.03477 0.04191
5 4 0.99748 0.04739 0.03443 0.04010
6 5 0.99773 0.04383 0.03425 0.03798
7 6 0.99795 0.04065 0.03422 0.03554
8 7 0.99816 0.03779 0.03427 0.03282
9 8 0.99834 0.03510 0.03437 0.02992
10 9 0.99852 0.03247 0.03447 0.02693
# i 91 more rows
[[18]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99610 0.06296 0.03600 0.05024
2 1 0.99647 0.05819 0.03511 0.04922
3 2 0.99682 0.05376 0.03413 0.04794
4 3 0.99714 0.04963 0.03342 0.04628
5 4 0.99742 0.04591 0.03294 0.04434
6 5 0.99768 0.04262 0.03259 0.04202
7 6 0.99791 0.03983 0.03232 0.03935
8 7 0.99811 0.03752 0.03219 0.03639
9 8 0.99831 0.03524 0.03216 0.03314
10 9 0.99849 0.03297 0.03211 0.02984
# i 91 more rows
[[19]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08755 0.06114 0.00736
2 1 0.99449 0.08382 0.06244 0.00782
3 2 0.99479 0.08000 0.06257 0.00848
4 3 0.99520 0.07567 0.06144 0.00925
5 4 0.99564 0.07109 0.05950 0.00998
6 5 0.99611 0.06640 0.05694 0.01054
7 6 0.99657 0.06187 0.05394 0.01082
8 7 0.99701 0.05748 0.05054 0.01064
9 8 0.99743 0.05342 0.04676 0.00993
10 9 0.99780 0.04976 0.04281 0.00882
# i 91 more rows
[[20]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99415 0.07971 0.07196 0.01186
2 1 0.99466 0.07439 0.07042 0.01248
3 2 0.99519 0.06930 0.06793 0.01330
4 3 0.99574 0.06414 0.06482 0.01376
5 4 0.99624 0.05939 0.06150 0.01371
6 5 0.99668 0.05542 0.05816 0.01313
7 6 0.99707 0.05212 0.05470 0.01209
8 7 0.99744 0.04914 0.05093 0.01066
9 8 0.99779 0.04641 0.04673 0.00885
10 9 0.99812 0.04383 0.04233 0.00685
# i 91 more rows
[[21]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99514 0.07774 0.04211 0.04334
2 1 0.99562 0.07217 0.04124 0.04284
3 2 0.99604 0.06719 0.04020 0.04223
4 3 0.99643 0.06235 0.03934 0.04121
5 4 0.99677 0.05797 0.03869 0.03978
6 5 0.99709 0.05391 0.03829 0.03782
7 6 0.99739 0.05013 0.03808 0.03535
8 7 0.99767 0.04652 0.03797 0.03254
9 8 0.99791 0.04310 0.03794 0.02960
10 9 0.99814 0.03966 0.03796 0.02657
# i 91 more rows
[[22]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99565 0.07073 0.04537 0.04024
2 1 0.99606 0.06590 0.04397 0.03998
3 2 0.99647 0.06078 0.04244 0.03931
4 3 0.99686 0.05577 0.04130 0.03818
5 4 0.99718 0.05137 0.04071 0.03660
6 5 0.99745 0.04760 0.04043 0.03458
7 6 0.99769 0.04431 0.04019 0.03208
8 7 0.99790 0.04154 0.04000 0.02935
9 8 0.99810 0.03893 0.03983 0.02645
10 9 0.99829 0.03604 0.03958 0.02341
# i 91 more rows
[[23]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99396 0.08718 0.06504 0.01470
2 1 0.99426 0.08295 0.06581 0.01518
3 2 0.99460 0.07898 0.06531 0.01616
4 3 0.99502 0.07470 0.06373 0.01723
5 4 0.99549 0.07014 0.06126 0.01814
6 5 0.99597 0.06555 0.05823 0.01865
7 6 0.99646 0.06107 0.05481 0.01854
8 7 0.99691 0.05687 0.05120 0.01790
9 8 0.99734 0.05292 0.04730 0.01672
10 9 0.99775 0.04922 0.04309 0.01499
# i 91 more rows
[[24]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99353 0.08626 0.07223 0.01578
2 1 0.99390 0.08166 0.07244 0.01573
3 2 0.99423 0.07778 0.07201 0.01643
4 3 0.99463 0.07372 0.07052 0.01716
5 4 0.99511 0.06934 0.06808 0.01786
6 5 0.99561 0.06483 0.06492 0.01833
7 6 0.99613 0.06035 0.06121 0.01838
8 7 0.99662 0.05618 0.05723 0.01789
9 8 0.99709 0.05230 0.05292 0.01687
10 9 0.99753 0.04868 0.04831 0.01535
# i 91 more rows
[[25]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99682 0.06287 0.04827 0.00874
2 1 0.99698 0.06210 0.04587 0.00788
3 2 0.99728 0.05994 0.04232 0.00711
4 3 0.99762 0.05693 0.03836 0.00642
5 4 0.99799 0.05310 0.03406 0.00576
6 5 0.99838 0.04835 0.02945 0.00511
7 6 0.99879 0.04245 0.02453 0.00458
8 7 0.99915 0.03587 0.01970 0.00403
9 8 0.99947 0.02881 0.01491 0.00350
10 9 0.99971 0.02142 0.01022 0.00297
# i 91 more rows
[[26]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99508 0.06775 0.07115 0.01238
2 1 0.99555 0.06453 0.06735 0.01331
3 2 0.99601 0.06114 0.06356 0.01385
4 3 0.99643 0.05771 0.06000 0.01413
5 4 0.99683 0.05401 0.05668 0.01412
6 5 0.99716 0.05091 0.05380 0.01387
7 6 0.99741 0.04853 0.05133 0.01328
8 7 0.99764 0.04651 0.04886 0.01243
9 8 0.99786 0.04483 0.04616 0.01134
10 9 0.99808 0.04324 0.04329 0.01008
# i 91 more rows
[[27]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99730 0.02816 0.06431 -0.02133
2 1 0.99758 0.02689 0.06127 -0.01878
3 2 0.99785 0.02634 0.05769 -0.01654
4 3 0.99806 0.02657 0.05419 -0.01502
5 4 0.99824 0.02739 0.05069 -0.01393
6 5 0.99838 0.02871 0.04734 -0.01332
7 6 0.99848 0.03007 0.04429 -0.01323
8 7 0.99857 0.03112 0.04127 -0.01344
9 8 0.99867 0.03179 0.03807 -0.01381
10 9 0.99879 0.03198 0.03461 -0.01417
# i 91 more rows
[[28]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99641 0.03998 0.06902 -0.02850
2 1 0.99670 0.03666 0.06738 -0.02647
3 2 0.99697 0.03464 0.06528 -0.02421
4 3 0.99722 0.03345 0.06290 -0.02203
5 4 0.99741 0.03316 0.06057 -0.02016
6 5 0.99755 0.03374 0.05831 -0.01882
7 6 0.99767 0.03488 0.05587 -0.01791
8 7 0.99777 0.03627 0.05325 -0.01754
9 8 0.99788 0.03741 0.05029 -0.01767
10 9 0.99800 0.03815 0.04695 -0.01810
# i 91 more rows
[[29]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99647 0.03632 0.07527 -0.00825
2 1 0.99677 0.03462 0.07232 -0.00560
3 2 0.99709 0.03272 0.06879 -0.00297
4 3 0.99736 0.03145 0.06544 -0.00080
5 4 0.99756 0.03084 0.06268 0.00070
6 5 0.99768 0.03090 0.06060 0.00141
7 6 0.99778 0.03135 0.05872 0.00149
8 7 0.99787 0.03194 0.05679 0.00109
9 8 0.99799 0.03244 0.05446 0.00039
10 9 0.99814 0.03262 0.05155 -0.00048
# i 91 more rows
[[30]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99652 0.03337 0.07618 -0.00600
2 1 0.99673 0.03330 0.07345 -0.00403
3 2 0.99697 0.03191 0.07091 -0.00209
4 3 0.99718 0.03104 0.06827 -0.00061
5 4 0.99735 0.03081 0.06584 0.00031
6 5 0.99750 0.03111 0.06350 0.00068
7 6 0.99762 0.03176 0.06119 0.00052
8 7 0.99775 0.03250 0.05865 0.00002
9 8 0.99790 0.03305 0.05570 -0.00068
10 9 0.99808 0.03324 0.05215 -0.00142
# i 91 more rows
[[31]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99695 0.02603 0.06462 -0.03509
2 1 0.99715 0.02464 0.06372 -0.03205
3 2 0.99733 0.02390 0.06252 -0.02931
4 3 0.99750 0.02361 0.06090 -0.02701
5 4 0.99765 0.02390 0.05900 -0.02531
6 5 0.99778 0.02464 0.05692 -0.02412
7 6 0.99792 0.02553 0.05453 -0.02317
8 7 0.99806 0.02641 0.05176 -0.02238
9 8 0.99823 0.02702 0.04845 -0.02163
10 9 0.99841 0.02730 0.04462 -0.02077
# i 91 more rows
[[32]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99718 0.02189 0.06453 -0.03153
2 1 0.99738 0.02053 0.06279 -0.02948
3 2 0.99754 0.02023 0.06113 -0.02756
4 3 0.99768 0.02043 0.05944 -0.02599
5 4 0.99780 0.02124 0.05757 -0.02489
6 5 0.99793 0.02243 0.05530 -0.02414
7 6 0.99806 0.02383 0.05251 -0.02357
8 7 0.99821 0.02526 0.04915 -0.02303
9 8 0.99837 0.02651 0.04518 -0.02245
10 9 0.99856 0.02732 0.04071 -0.02168
# i 91 more rows
[[33]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99099 0.12441 0.00926 0.04863
2 1 0.99155 0.11940 0.01256 0.04922
3 2 0.99205 0.11457 0.01605 0.04963
4 3 0.99252 0.10988 0.01929 0.04958
5 4 0.99294 0.10561 0.02232 0.04913
6 5 0.99330 0.10189 0.02525 0.04829
7 6 0.99362 0.09861 0.02802 0.04694
8 7 0.99393 0.09555 0.03055 0.04509
9 8 0.99425 0.09249 0.03282 0.04274
10 9 0.99459 0.08940 0.03481 0.03993
# i 91 more rows
[[34]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.11089 0.00761 0.04529
2 1 0.99300 0.10838 0.01070 0.04572
3 2 0.99333 0.10515 0.01362 0.04536
4 3 0.99364 0.10217 0.01647 0.04446
5 4 0.99391 0.09970 0.01907 0.04299
6 5 0.99417 0.09737 0.02145 0.04102
7 6 0.99446 0.09491 0.02365 0.03855
8 7 0.99478 0.09219 0.02540 0.03562
9 8 0.99513 0.08920 0.02668 0.03246
10 9 0.99549 0.08596 0.02762 0.02908
# i 91 more rows
[[35]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99036 0.12354 0.04394 0.04466
2 1 0.99088 0.11901 0.04565 0.04363
3 2 0.99143 0.11455 0.04681 0.04199
4 3 0.99196 0.11035 0.04732 0.04010
5 4 0.99243 0.10677 0.04729 0.03797
6 5 0.99284 0.10402 0.04663 0.03564
7 6 0.99325 0.10157 0.04532 0.03298
8 7 0.99363 0.09944 0.04347 0.03021
9 8 0.99404 0.09730 0.04089 0.02717
10 9 0.99449 0.09499 0.03749 0.02380
# i 91 more rows
[[36]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99024 0.12061 0.05259 0.04604
2 1 0.99083 0.11574 0.05404 0.04411
3 2 0.99142 0.11085 0.05503 0.04203
4 3 0.99199 0.10647 0.05502 0.03983
5 4 0.99252 0.10276 0.05411 0.03755
6 5 0.99304 0.09959 0.05221 0.03506
7 6 0.99357 0.09664 0.04938 0.03227
8 7 0.99410 0.09393 0.04576 0.02914
9 8 0.99462 0.09129 0.04157 0.02581
10 9 0.99512 0.08868 0.03691 0.02237
# i 91 more rows
[[37]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11879 0.00199 0.04178
2 1 0.99243 0.11459 0.00592 0.04382
3 2 0.99283 0.10998 0.00986 0.04569
4 3 0.99320 0.10567 0.01385 0.04688
5 4 0.99347 0.10229 0.01754 0.04733
6 5 0.99367 0.09967 0.02114 0.04723
7 6 0.99385 0.09742 0.02461 0.04655
8 7 0.99404 0.09523 0.02795 0.04520
9 8 0.99426 0.09281 0.03113 0.04319
10 9 0.99451 0.09018 0.03398 0.04067
# i 91 more rows
[[38]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99236 0.11709 0.00972 0.03775
2 1 0.99277 0.11272 0.01370 0.03890
3 2 0.99317 0.10845 0.01719 0.03952
4 3 0.99355 0.10441 0.02012 0.03948
5 4 0.99390 0.10057 0.02292 0.03890
6 5 0.99426 0.09675 0.02561 0.03773
7 6 0.99463 0.09290 0.02805 0.03610
8 7 0.99497 0.08923 0.03020 0.03406
9 8 0.99532 0.08554 0.03209 0.03156
10 9 0.99568 0.08167 0.03377 0.02858
# i 91 more rows
[[39]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99012 0.12860 0.02482 0.05007
2 1 0.99039 0.12633 0.02801 0.04892
3 2 0.99081 0.12282 0.03027 0.04794
4 3 0.99127 0.11920 0.03170 0.04655
5 4 0.99173 0.11584 0.03223 0.04477
6 5 0.99220 0.11279 0.03179 0.04255
7 6 0.99266 0.10993 0.03071 0.03997
8 7 0.99314 0.10702 0.02903 0.03700
9 8 0.99365 0.10394 0.02678 0.03362
10 9 0.99415 0.10086 0.02419 0.03015
# i 91 more rows
[[40]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98906 0.13524 0.03494 0.04731
2 1 0.98966 0.12986 0.03961 0.04629
3 2 0.99021 0.12502 0.04267 0.04506
4 3 0.99071 0.12091 0.04445 0.04359
5 4 0.99117 0.11750 0.04506 0.04186
6 5 0.99162 0.11461 0.04450 0.03976
7 6 0.99208 0.11207 0.04278 0.03727
8 7 0.99256 0.10972 0.04007 0.03441
9 8 0.99307 0.10726 0.03646 0.03117
10 9 0.99361 0.10463 0.03217 0.02767
# i 91 more rows
[[41]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99204 0.11046 0.04906 0.03525
2 1 0.99232 0.10801 0.05000 0.03377
3 2 0.99267 0.10519 0.05021 0.03204
4 3 0.99306 0.10238 0.04944 0.03009
5 4 0.99348 0.09980 0.04765 0.02782
6 5 0.99390 0.09752 0.04493 0.02527
7 6 0.99432 0.09534 0.04169 0.02242
8 7 0.99474 0.09315 0.03815 0.01923
9 8 0.99514 0.09082 0.03446 0.01589
10 9 0.99557 0.08809 0.03059 0.01242
# i 91 more rows
[[42]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99155 0.11826 0.04717 0.02475
2 1 0.99222 0.11290 0.04696 0.02342
3 2 0.99279 0.10856 0.04592 0.02187
4 3 0.99326 0.10515 0.04445 0.02007
5 4 0.99365 0.10255 0.04271 0.01806
6 5 0.99398 0.10046 0.04069 0.01583
7 6 0.99431 0.09848 0.03839 0.01338
8 7 0.99462 0.09654 0.03586 0.01080
9 8 0.99496 0.09434 0.03296 0.00820
10 9 0.99535 0.09147 0.02959 0.00546
# i 91 more rows
[[43]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98866 0.13122 0.07173 0.01356
2 1 0.98959 0.12405 0.07199 0.01163
3 2 0.99045 0.11733 0.07173 0.00996
4 3 0.99120 0.11143 0.07090 0.00855
5 4 0.99183 0.10664 0.06957 0.00726
6 5 0.99238 0.10277 0.06771 0.00602
7 6 0.99286 0.09964 0.06540 0.00482
8 7 0.99329 0.09713 0.06259 0.00366
9 8 0.99373 0.09485 0.05906 0.00250
10 9 0.99420 0.09252 0.05479 0.00137
# i 91 more rows
[[44]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98965 0.12271 0.07318 0.01328
2 1 0.99052 0.11563 0.07327 0.01111
3 2 0.99116 0.11041 0.07295 0.00959
4 3 0.99165 0.10655 0.07222 0.00833
5 4 0.99205 0.10369 0.07096 0.00716
6 5 0.99245 0.10120 0.06908 0.00604
7 6 0.99287 0.09887 0.06639 0.00503
8 7 0.99332 0.09656 0.06303 0.00418
9 8 0.99379 0.09421 0.05906 0.00353
10 9 0.99428 0.09171 0.05464 0.00309
# i 91 more rows
[[45]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99199 0.11271 0.04789 0.03094
2 1 0.99246 0.10784 0.05006 0.02971
3 2 0.99295 0.10290 0.05157 0.02829
4 3 0.99339 0.09859 0.05238 0.02666
5 4 0.99378 0.09501 0.05253 0.02481
6 5 0.99411 0.09220 0.05218 0.02265
7 6 0.99441 0.08996 0.05141 0.02028
8 7 0.99469 0.08796 0.05030 0.01777
9 8 0.99497 0.08618 0.04877 0.01517
10 9 0.99525 0.08446 0.04684 0.01253
# i 91 more rows
[[46]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99267 0.11118 0.03922 0.02645
2 1 0.99306 0.10684 0.04257 0.02470
3 2 0.99352 0.10159 0.04547 0.02293
4 3 0.99394 0.09677 0.04753 0.02125
5 4 0.99435 0.09229 0.04865 0.01946
6 5 0.99471 0.08853 0.04913 0.01754
7 6 0.99501 0.08546 0.04923 0.01534
8 7 0.99525 0.08318 0.04887 0.01282
9 8 0.99546 0.08155 0.04812 0.01014
10 9 0.99564 0.08017 0.04704 0.00716
# i 91 more rows
[[47]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99154 0.11263 0.06018 0.02322
2 1 0.99213 0.10680 0.06168 0.02185
3 2 0.99275 0.10035 0.06299 0.02007
4 3 0.99330 0.09507 0.06318 0.01822
5 4 0.99374 0.09100 0.06268 0.01623
6 5 0.99410 0.08805 0.06167 0.01415
7 6 0.99443 0.08568 0.06019 0.01200
8 7 0.99475 0.08361 0.05812 0.00980
9 8 0.99507 0.08187 0.05542 0.00769
10 9 0.99538 0.08030 0.05227 0.00575
# i 91 more rows
[[48]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99325 0.10171 0.05067 0.02306
2 1 0.99365 0.09692 0.05324 0.02081
3 2 0.99399 0.09243 0.05562 0.01889
4 3 0.99429 0.08863 0.05690 0.01715
5 4 0.99457 0.08556 0.05717 0.01554
6 5 0.99482 0.08317 0.05672 0.01405
7 6 0.99505 0.08132 0.05572 0.01267
8 7 0.99525 0.08014 0.05410 0.01134
9 8 0.99543 0.07944 0.05207 0.01004
10 9 0.99561 0.07886 0.04972 0.00877
# i 91 more rows
[[49]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98737 0.14934 0.03624 0.03864
2 1 0.98838 0.14207 0.03857 0.03775
3 2 0.98949 0.13415 0.03981 0.03652
4 3 0.99043 0.12750 0.03950 0.03505
5 4 0.99117 0.12255 0.03821 0.03323
6 5 0.99178 0.11881 0.03621 0.03088
7 6 0.99227 0.11620 0.03354 0.02783
8 7 0.99270 0.11423 0.03039 0.02419
9 8 0.99306 0.11268 0.02701 0.02023
10 9 0.99335 0.11150 0.02351 0.01626
# i 91 more rows
[[50]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98811 0.14431 0.02976 0.04386
2 1 0.98906 0.13764 0.03178 0.04257
3 2 0.98991 0.13174 0.03252 0.04086
4 3 0.99076 0.12596 0.03199 0.03868
5 4 0.99153 0.12094 0.03063 0.03598
6 5 0.99213 0.11727 0.02883 0.03304
7 6 0.99259 0.11473 0.02663 0.02993
8 7 0.99300 0.11261 0.02392 0.02647
9 8 0.99338 0.11075 0.02052 0.02253
10 9 0.99373 0.10903 0.01658 0.01844
# i 91 more rows
[[51]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98550 0.15687 0.06393 0.00994
2 1 0.98652 0.15017 0.06445 0.00799
3 2 0.98771 0.14206 0.06484 0.00634
4 3 0.98884 0.13402 0.06480 0.00499
5 4 0.98981 0.12700 0.06426 0.00383
6 5 0.99061 0.12120 0.06319 0.00272
7 6 0.99127 0.11664 0.06151 0.00160
8 7 0.99181 0.11323 0.05912 0.00049
9 8 0.99230 0.11060 0.05579 -0.00067
10 9 0.99275 0.10846 0.05183 -0.00184
# i 91 more rows
[[52]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98449 0.15732 0.07648 0.01350
2 1 0.98559 0.15008 0.07716 0.01160
3 2 0.98675 0.14217 0.07751 0.00977
4 3 0.98789 0.13411 0.07759 0.00829
5 4 0.98893 0.12659 0.07708 0.00681
6 5 0.98983 0.12033 0.07576 0.00518
7 6 0.99059 0.11530 0.07361 0.00336
8 7 0.99124 0.11148 0.07084 0.00162
9 8 0.99177 0.10875 0.06762 0.00008
10 9 0.99226 0.10644 0.06388 -0.00142
# i 91 more rows
[[53]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98810 0.14740 0.03281 0.02919
2 1 0.98877 0.14203 0.03655 0.02868
3 2 0.98959 0.13582 0.03862 0.02770
4 3 0.99039 0.13005 0.03907 0.02637
5 4 0.99108 0.12527 0.03818 0.02455
6 5 0.99166 0.12156 0.03645 0.02234
7 6 0.99218 0.11850 0.03399 0.01970
8 7 0.99262 0.11608 0.03085 0.01656
9 8 0.99301 0.11417 0.02714 0.01298
10 9 0.99334 0.11246 0.02319 0.00922
# i 91 more rows
[[54]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98740 0.14936 0.03615 0.03778
2 1 0.98811 0.14414 0.03889 0.03684
3 2 0.98897 0.13787 0.04071 0.03570
4 3 0.98977 0.13238 0.04087 0.03420
5 4 0.99055 0.12728 0.03959 0.03218
6 5 0.99124 0.12313 0.03752 0.02972
7 6 0.99178 0.12012 0.03493 0.02690
8 7 0.99222 0.11806 0.03188 0.02354
9 8 0.99260 0.11644 0.02823 0.01960
10 9 0.99294 0.11508 0.02422 0.01521
# i 91 more rows
[[55]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98627 0.15693 0.05108 0.00545
2 1 0.98723 0.14978 0.05410 0.00400
3 2 0.98826 0.14207 0.05613 0.00326
4 3 0.98917 0.13494 0.05760 0.00280
5 4 0.98995 0.12873 0.05846 0.00238
6 5 0.99065 0.12325 0.05846 0.00178
7 6 0.99127 0.11878 0.05726 0.00084
8 7 0.99184 0.11506 0.05492 -0.00049
9 8 0.99238 0.11185 0.05159 -0.00203
10 9 0.99286 0.10929 0.04774 -0.00341
# i 91 more rows
[[56]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.98560 0.15828 0.05930 0.00487
2 1 0.98645 0.15168 0.06253 0.00294
3 2 0.98748 0.14401 0.06431 0.00149
4 3 0.98849 0.13630 0.06559 0.00054
5 4 0.98940 0.12922 0.06632 -0.00025
6 5 0.99018 0.12305 0.06632 -0.00110
7 6 0.99085 0.11813 0.06524 -0.00210
8 7 0.99144 0.11435 0.06290 -0.00322
9 8 0.99197 0.11146 0.05963 -0.00433
10 9 0.99247 0.10905 0.05553 -0.00550
# i 91 more rows
[[57]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99731 0.06738 0.01865 -0.02186
2 1 0.99746 0.06436 0.01994 -0.02323
3 2 0.99760 0.06100 0.02120 -0.02481
4 3 0.99772 0.05801 0.02227 -0.02623
5 4 0.99784 0.05477 0.02350 -0.02769
6 5 0.99793 0.05174 0.02456 -0.02930
7 6 0.99800 0.04888 0.02529 -0.03101
8 7 0.99807 0.04578 0.02602 -0.03277
9 8 0.99812 0.04298 0.02663 -0.03466
10 9 0.99817 0.03983 0.02730 -0.03649
# i 91 more rows
[[58]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99559 0.09262 0.01308 0.00709
2 1 0.99586 0.08931 0.01559 0.00661
3 2 0.99613 0.08592 0.01745 0.00591
4 3 0.99636 0.08301 0.01881 0.00496
5 4 0.99652 0.08081 0.01988 0.00377
6 5 0.99666 0.07899 0.02062 0.00225
7 6 0.99679 0.07729 0.02102 0.00036
8 7 0.99691 0.07559 0.02112 -0.00185
9 8 0.99703 0.07404 0.02082 -0.00432
10 9 0.99715 0.07238 0.02028 -0.00698
# i 91 more rows
[[59]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99395 0.08747 0.06576 0.00951
2 1 0.99444 0.08137 0.06615 0.00957
3 2 0.99486 0.07613 0.06603 0.00953
4 3 0.99523 0.07228 0.06493 0.00924
5 4 0.99552 0.06980 0.06328 0.00856
6 5 0.99577 0.06833 0.06104 0.00732
7 6 0.99603 0.06734 0.05792 0.00565
8 7 0.99631 0.06655 0.05405 0.00359
9 8 0.99659 0.06593 0.04967 0.00128
10 9 0.99682 0.06564 0.04511 -0.00103
# i 91 more rows
[[60]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99425 0.08389 0.06599 0.00853
2 1 0.99452 0.08106 0.06553 0.00752
3 2 0.99480 0.07823 0.06479 0.00680
4 3 0.99506 0.07625 0.06329 0.00573
5 4 0.99529 0.07502 0.06125 0.00434
6 5 0.99552 0.07424 0.05849 0.00267
7 6 0.99574 0.07375 0.05531 0.00084
8 7 0.99597 0.07343 0.05146 -0.00121
9 8 0.99621 0.07306 0.04699 -0.00327
10 9 0.99645 0.07264 0.04217 -0.00519
# i 91 more rows
[[61]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99441 0.09920 0.03375 0.01289
2 1 0.99458 0.09633 0.03718 0.01209
3 2 0.99482 0.09310 0.03933 0.01104
4 3 0.99508 0.08981 0.04070 0.00956
5 4 0.99533 0.08673 0.04164 0.00768
6 5 0.99555 0.08392 0.04247 0.00546
7 6 0.99573 0.08148 0.04326 0.00294
8 7 0.99589 0.07917 0.04397 0.00006
9 8 0.99605 0.07681 0.04454 -0.00305
10 9 0.99620 0.07431 0.04502 -0.00643
# i 91 more rows
[[62]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99448 0.09803 0.03650 0.00843
2 1 0.99475 0.09383 0.03990 0.00820
3 2 0.99499 0.09006 0.04275 0.00741
4 3 0.99518 0.08703 0.04472 0.00614
5 4 0.99535 0.08448 0.04610 0.00435
6 5 0.99551 0.08213 0.04698 0.00214
7 6 0.99568 0.07975 0.04758 -0.00037
8 7 0.99585 0.07726 0.04791 -0.00314
9 8 0.99604 0.07462 0.04801 -0.00608
10 9 0.99623 0.07175 0.04792 -0.00913
# i 91 more rows
[[63]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99368 0.09446 0.06021 0.00780
2 1 0.99426 0.08810 0.06020 0.00794
3 2 0.99471 0.08315 0.05978 0.00746
4 3 0.99514 0.07903 0.05829 0.00661
5 4 0.99553 0.07578 0.05608 0.00538
6 5 0.99587 0.07327 0.05342 0.00378
7 6 0.99619 0.07126 0.05026 0.00181
8 7 0.99648 0.06958 0.04679 -0.00032
9 8 0.99676 0.06801 0.04297 -0.00255
10 9 0.99702 0.06642 0.03882 -0.00483
# i 91 more rows
[[64]]
# A tibble: 101 x 5
time w x y z
<int> <dec:.5!> <dec:.5!> <dec:.5!> <dec:.5!>
1 0 0.99277 0.10283 0.06109 0.01022
2 1 0.99328 0.09702 0.06216 0.01072
3 2 0.99379 0.09191 0.06186 0.01042
4 3 0.99427 0.08780 0.06022 0.00956
5 4 0.99469 0.08469 0.05786 0.00816
6 5 0.99505 0.08247 0.05508 0.00619
7 6 0.99538 0.08072 0.05185 0.00375
8 7 0.99568 0.07934 0.04823 0.00102
9 8 0.99594 0.07826 0.04440 -0.00173
10 9 0.99617 0.07739 0.04036 -0.00439
# i 91 more rows
attr(,"class")
[1] "qts_sample" "list"
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