packrat/lib-R/boot/bd.q
In UBC-MDS/Karl:
# script to make cd4.nested
library(boot)
data(cd4)
temp <- boot(cd4, nested.corr, R=1, stype="w", t0=corr(cd4), M=9)
tempcl <- temp$call
tempcl$R <- 999
tempcl$M <- 249
junk <- scan(file="",list(0,0),nmax=999*2)
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1.163 0.792
1.361 0.824
-0.579 0.256
junk1 <- scan(file="",list(i=0,base=0,one=0),nmax=60)
1 2.12 2.47
2 4.35 4.61
3 3.39 5.26
4 2.51 3.02
5 4.04 6.36
6 5.10 5.93
7 3.77 3.93
8 3.35 4.09
9 4.10 4.88
10 3.35 3.81
11 4.15 4.74
12 3.56 3.29
13 3.39 5.55
14 1.88 2.82
15 2.56 4.23
16 2.96 3.23
17 2.49 2.56
18 3.03 4.31
19 2.66 4.37
20 3.00 2.40
cd4.nested <- boot:::boot.return(sim="ordinary", t0=c(0,0.532),
t=cbind(junk[[1]],junk[[2]]), strata=rep(1,20), R=999,
data=data.frame(baseline=junk1$base,oneyear=junk1$one),
stat=temp$statistic, stype="w", call=tempcl, seed=NULL,
m=0, weights=rep(0.05,20))
rm(junk,junk1,temp,tempcl)
save(cd4.nested, file="cd4.nested.rda", compress=TRUE)
UBC-MDS/Karl documentation built on May 22, 2019, 1:53 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
# script to make cd4.nested
library(boot)
data(cd4)
temp <- boot(cd4, nested.corr, R=1, stype="w", t0=corr(cd4), M=9)
tempcl <- temp$call
tempcl$R <- 999
tempcl$M <- 249
junk <- scan(file="",list(0,0),nmax=999*2)
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1.251 0.848
-0.427 0.336
1.248 0.812
2.041 0.912
-1.427 0.040
-2.134 0.012
-0.188 0.380
-0.970 0.136
-1.005 0.136
-0.121 0.412
0.314 0.596
-1.833 0.044
0.141 0.540
2.007 0.944
1.716 0.856
2.131 0.908
-0.313 0.360
-0.232 0.420
0.008 0.472
-0.782 0.156
-0.456 0.300
-0.423 0.308
-0.371 0.304
-0.156 0.468
1.309 0.844
1.077 0.800
-0.766 0.168
-0.628 0.268
-0.713 0.204
-0.521 0.252
1.767 0.880
0.569 0.604
-0.024 0.504
4.942 0.916
-0.051 0.432
-0.326 0.336
0.816 0.704
-0.295 0.356
0.207 0.592
0.961 0.772
3.595 0.980
0.942 0.756
0.072 0.496
1.819 0.872
0.758 0.688
8.778 0.984
-0.598 0.292
1.979 0.924
-0.381 0.236
-0.367 0.284
-0.537 0.300
0.937 0.768
1.641 0.808
-0.400 0.332
0.175 0.540
0.514 0.704
0.284 0.540
2.383 0.856
1.450 0.812
0.557 0.660
0.128 0.508
-0.692 0.180
0.853 0.800
-0.936 0.128
2.212 0.924
-0.033 0.456
0.831 0.700
-0.024 0.460
0.957 0.776
-0.323 0.328
1.112 0.784
-0.060 0.412
-0.108 0.412
-1.699 0.040
1.583 0.832
0.335 0.572
-1.355 0.084
-1.408 0.116
-0.629 0.240
0.121 0.492
0.449 0.656
-1.767 0.100
-0.502 0.236
0.015 0.452
0.013 0.484
0.807 0.732
-1.236 0.088
0.545 0.688
1.738 0.916
-1.314 0.068
1.060 0.876
0.348 0.660
1.032 0.816
-1.209 0.084
-0.504 0.292
-1.395 0.052
1.774 0.864
-0.165 0.452
-0.271 0.396
1.471 0.844
-0.256 0.384
-0.758 0.228
-1.859 0.036
0.001 0.528
-0.098 0.412
-2.176 0.012
-1.416 0.084
-0.705 0.184
-0.696 0.200
0.211 0.596
1.841 0.908
-0.722 0.240
0.842 0.756
0.656 0.652
0.295 0.640
-2.105 0.020
-0.479 0.204
2.837 0.948
1.985 0.888
-0.200 0.400
1.560 0.860
1.135 0.836
-0.601 0.216
-0.639 0.220
2.231 0.920
-2.118 0.116
0.693 0.740
-1.787 0.008
1.723 0.872
2.110 0.896
0.045 0.444
0.480 0.576
0.325 0.616
-0.360 0.408
-0.487 0.328
0.985 0.712
-0.175 0.396
0.100 0.500
1.248 0.788
0.435 0.620
-0.718 0.220
-1.187 0.108
-0.192 0.396
-0.838 0.156
0.023 0.512
-0.469 0.256
-0.096 0.440
-0.805 0.200
0.294 0.584
2.222 0.956
0.542 0.696
-0.686 0.312
-0.696 0.172
0.669 0.652
0.258 0.580
-1.389 0.048
-0.927 0.140
0.535 0.660
-0.717 0.128
-0.741 0.208
-0.749 0.216
-0.586 0.236
2.391 0.928
-0.843 0.188
-0.338 0.380
-1.137 0.104
-1.279 0.068
-0.272 0.344
0.731 0.748
1.470 0.840
0.730 0.760
0.550 0.708
-1.340 0.068
-1.243 0.068
0.198 0.520
0.728 0.744
-0.098 0.360
-1.113 0.116
-0.860 0.164
-0.662 0.160
-0.221 0.428
1.247 0.792
0.565 0.720
-1.304 0.104
2.031 0.896
1.163 0.792
1.361 0.824
-0.579 0.256
junk1 <- scan(file="",list(i=0,base=0,one=0),nmax=60)
1 2.12 2.47
2 4.35 4.61
3 3.39 5.26
4 2.51 3.02
5 4.04 6.36
6 5.10 5.93
7 3.77 3.93
8 3.35 4.09
9 4.10 4.88
10 3.35 3.81
11 4.15 4.74
12 3.56 3.29
13 3.39 5.55
14 1.88 2.82
15 2.56 4.23
16 2.96 3.23
17 2.49 2.56
18 3.03 4.31
19 2.66 4.37
20 3.00 2.40
cd4.nested <- boot:::boot.return(sim="ordinary", t0=c(0,0.532),
t=cbind(junk[[1]],junk[[2]]), strata=rep(1,20), R=999,
data=data.frame(baseline=junk1$base,oneyear=junk1$one),
stat=temp$statistic, stype="w", call=tempcl, seed=NULL,
m=0, weights=rep(0.05,20))
rm(junk,junk1,temp,tempcl)
save(cd4.nested, file="cd4.nested.rda", compress=TRUE)
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