$x_ticks
[1] 1e-06 2e-06 3e-06 4e-06 5e-06 6e-06 7e-06 8e-06 9e-06 1e-05 2e-05 3e-05
[13] 4e-05 5e-05 6e-05 7e-05 8e-05 9e-05 1e-04 2e-04 3e-04 4e-04 5e-04 6e-04
[25] 7e-04 8e-04 9e-04 1e-03 2e-03 3e-03 4e-03 5e-03 6e-03 7e-03 8e-03 9e-03
[37] 1e-02 2e-02 3e-02 4e-02 5e-02 6e-02 7e-02 8e-02 9e-02 1e-01 2e-01 3e-01
[49] 4e-01 5e-01 6e-01 7e-01 8e-01 9e-01 1e+00 2e+00 3e+00 4e+00 5e+00 6e+00
[61] 7e+00 8e+00 9e+00 1e+01 2e+01 3e+01 4e+01 5e+01 6e+01 7e+01 8e+01 9e+01
[73] 1e+02 2e+02 3e+02 4e+02 5e+02 6e+02 7e+02 8e+02 9e+02 1e+03 2e+03 3e+03
[85] 4e+03 5e+03 6e+03 7e+03 8e+03 9e+03 1e+04 2e+04 3e+04 4e+04 5e+04 6e+04
[97] 7e+04 8e+04 9e+04 1e+05 2e+05 3e+05 4e+05 5e+05 6e+05 7e+05 8e+05 9e+05
[109] 1e+06 2e+06 3e+06 4e+06 5e+06 6e+06 7e+06 8e+06 9e+06 1e+07 2e+07 3e+07
[121] 4e+07 5e+07 6e+07 7e+07 8e+07 9e+07 1e+08
$x_labels
[1] "1e-06" "2e-06" "3e-06" " " " " " " " " " " " "
[10] "1e-05" "2e-05" "3e-05" " " " " " " " " " " " "
[19] "1e-04" "2e-04" "3e-04" " " " " " " " " " " " "
[28] "0.001" "0.002" "0.003" " " " " " " " " " " " "
[37] "0.01" "0.02" "0.03" " " " " " " " " " " " "
[46] "0.1" "0.2" "0.3" " " " " " " " " " " " "
[55] "1" "2" "3" " " " " " " " " " " " "
[64] "10" "20" "30" " " " " " " " " " " " "
[73] "100" "200" "300" " " " " " " " " " " " "
[82] "1000" "2000" "3000" " " " " " " " " " " " "
[91] "10000" "20000" "30000" " " " " " " " " " " " "
[100] "1e+05" "2e+05" "3e+05" " " " " " " " " " " " "
[109] "1e+06" "2e+06" "3e+06" " " " " " " " " " " " "
[118] "1e+07" "2e+07" "3e+07" " " " " " " " " " " " "
[127] "1e+08"
$y_ticks
[1] -16.11809560 -13.81551006 -11.51292046 -9.21029037 -6.90725507
[6] -5.29581214 -4.60014923 -2.97019525 -2.25036733 -1.49993999
[11] -1.03093043 -0.36651292 -0.08742157 0.18562676 0.47588500
[16] 0.83403245 1.09718870 1.52717963 1.93264473 2.22032681
[21] 2.44347036
$y_labels
[1] 0.00001 0.00010 0.00100 0.01000 0.10000 0.50000 1.00000 5.00000
[9] 10.00000 20.00000 30.00000 50.00000 60.00000 70.00000 80.00000 90.00000
[17] 95.00000 99.00000 99.90000 99.99000 99.99900
$x_ticks
NULL
$x_labels
NULL
$y_ticks
[1] -5.1993376 -4.7534243 -4.2648908 -3.7190165 -3.0902323 -2.5758293
[7] -2.3263479 -1.6448536 -1.2815516 -0.8416212 -0.5244005 0.0000000
[13] 0.2533471 0.5244005 0.8416212 1.2815516 1.6448536 2.3263479
[19] 3.0902323 3.7190165 4.2648908
$y_labels
[1] 0.00001 0.00010 0.00100 0.01000 0.10000 0.50000 1.00000 5.00000
[9] 10.00000 20.00000 30.00000 50.00000 60.00000 70.00000 80.00000 90.00000
[17] 95.00000 99.00000 99.90000 99.99000 99.99900
CDF estimation for methods 'johnson', 'kaplan':
# A tibble: 134 x 7
id x status rank prob cdf_estimation_method q
<chr> <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
1 ID72 94 1 1 0.00967 johnson -4.63
2 ID72 94 1 NA 0.0139 kaplan -4.27
3 ID71 96 1 2 0.0235 johnson -3.74
4 ID71 96 1 NA 0.0278 kaplan -3.57
5 ID69 99 1 4 0.0511 johnson -2.95
6 ID70 99 1 4 0.0511 johnson -2.95
7 ID69 99 1 NA 0.0556 kaplan -2.86
8 ID70 99 1 NA 0.0556 kaplan -2.86
9 ID68 104 1 5 0.0649 johnson -2.70
10 ID68 104 1 NA 0.0694 kaplan -2.63
# i 124 more rows
CDF estimation for methods 'johnson', 'kaplan':
# A tibble: 134 x 7
id x status rank prob cdf_estimation_method q
<chr> <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
1 ID72 94 1 1 0.00967 johnson -2.34
2 ID72 94 1 NA 0.0139 kaplan -2.20
3 ID71 96 1 2 0.0235 johnson -1.99
4 ID71 96 1 NA 0.0278 kaplan -1.91
5 ID69 99 1 4 0.0511 johnson -1.63
6 ID70 99 1 4 0.0511 johnson -1.63
7 ID69 99 1 NA 0.0556 kaplan -1.59
8 ID70 99 1 NA 0.0556 kaplan -1.59
9 ID68 104 1 5 0.0649 johnson -1.51
10 ID68 104 1 NA 0.0694 kaplan -1.48
# i 124 more rows
# A tibble: 100 x 7
x_p y_p param_val param_label cdf_estimation_method group q
<dbl> <dbl> <list> <list> <chr> <chr> <dbl>
1 6700 0.0183 <chr [3]> <chr [3]> <NA> <NA> -3.99
2 6798. 0.0190 <chr [3]> <chr [3]> <NA> <NA> -3.95
3 6897. 0.0198 <chr [3]> <chr [3]> <NA> <NA> -3.91
4 6997. 0.0206 <chr [3]> <chr [3]> <NA> <NA> -3.87
5 7100. 0.0214 <chr [3]> <chr [3]> <NA> <NA> -3.83
6 7203. 0.0223 <chr [3]> <chr [3]> <NA> <NA> -3.79
7 7308. 0.0232 <chr [3]> <chr [3]> <NA> <NA> -3.75
8 7415. 0.0241 <chr [3]> <chr [3]> <NA> <NA> -3.71
9 7523. 0.0251 <chr [3]> <chr [3]> <NA> <NA> -3.67
10 7633. 0.0261 <chr [3]> <chr [3]> <NA> <NA> -3.63
# i 90 more rows
# A tibble: 200 x 7
x_p y_p param_val param_label cdf_estimation_method group q
<dbl> <dbl> <list> <list> <chr> <chr> <dbl>
1 6700 0.0183 <chr [2]> <chr [2]> johnson group -3.99
2 6804. 0.0191 <chr [2]> <chr [2]> johnson group -3.95
3 6909. 0.0199 <chr [2]> <chr [2]> johnson group -3.91
4 7013. 0.0207 <chr [2]> <chr [2]> johnson group -3.87
5 7118. 0.0216 <chr [2]> <chr [2]> johnson group -3.82
6 7222. 0.0225 <chr [2]> <chr [2]> johnson group -3.78
7 7327. 0.0234 <chr [2]> <chr [2]> johnson group -3.75
8 7431. 0.0243 <chr [2]> <chr [2]> johnson group -3.71
9 7536. 0.0252 <chr [2]> <chr [2]> johnson group -3.67
10 7640. 0.0262 <chr [2]> <chr [2]> johnson group -3.63
# i 190 more rows
# A tibble: 204 x 5
# Groups: bound [2]
x y bound cdf_estimation_method q
<dbl> <dbl> <chr> <chr> <dbl>
1 6700. 0.0927 Upper johnson -2.33
2 6910 0.0958 Upper johnson -2.30
3 7120. 0.0990 Upper johnson -2.26
4 7330. 0.102 Upper johnson -2.23
5 7540 0.106 Upper johnson -2.19
6 7750 0.109 Upper johnson -2.16
7 7960. 0.113 Upper johnson -2.12
8 8170 0.117 Upper johnson -2.09
9 8380 0.121 Upper johnson -2.05
10 8590 0.124 Upper johnson -2.02
# i 194 more rows
# A tibble: 100 x 6
x_s y_s q param_val param_label group
<dbl> <dbl> <dbl> <list> <list> <chr>
1 26522. 0.734 0.282 <chr [3]> <chr [3]> 1
2 19771. 0.628 -0.0115 <chr [3]> <chr [3]> 1
3 11143. 0.427 -0.585 <chr [3]> <chr [3]> 1
4 1926. 0.0918 -2.34 <chr [3]> <chr [3]> 1
5 32021. 0.798 0.471 <chr [3]> <chr [3]> 1
6 2143. 0.102 -2.23 <chr [3]> <chr [3]> 1
7 1138. 0.0553 -2.87 <chr [3]> <chr [3]> 1
8 8286. 0.339 -0.881 <chr [3]> <chr [3]> 1
9 9269. 0.371 -0.769 <chr [3]> <chr [3]> 1
10 55681. 0.938 1.02 <chr [3]> <chr [3]> 1
# i 90 more rows
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