library(plotROC)
## Warning: package 'plotROC' was built under R version 3.4.2
## Loading required package: ggplot2
D.ex <- rbinom(50, 1, .5)
rocdata <- data.frame(D = c(D.ex, D.ex),
M = c(rnorm(50, mean = D.ex, sd = .4), rnorm(50, mean = D.ex, sd = 1)),
Z = c(rep("A", 50), rep("B", 50)))
str(rocdata)
## 'data.frame': 100 obs. of 3 variables:
## $ D: int 1 0 0 0 0 1 0 1 0 1 ...
## $ M: num 1.132 0.36 -0.311 0.171 0.54 ...
## $ Z: Factor w/ 2 levels "A","B": 1 1 1 1 1 1 1 1 1 1 ...
summary(rocdata)
## D M Z
## Min. :0.00 Min. :-2.4416 A:50
## 1st Qu.:0.00 1st Qu.:-0.2879 B:50
## Median :0.00 Median : 0.5039
## Mean :0.46 Mean : 0.4513
## 3rd Qu.:1.00 3rd Qu.: 1.1501
## Max. :1.00 Max. : 2.8872
head(rocdata)
## D M Z
## 1 1 1.1321989 A
## 2 0 0.3597032 A
## 3 0 -0.3108332 A
## 4 0 0.1708569 A
## 5 0 0.5397038 A
## 6 1 0.9884380 A
ggroc <- ggplot(rocdata, aes(m = M, d = D)) + geom_roc()
calc_auc(ggroc)
## PANEL group AUC
## 1 1 -1 0.8345411
ggroc
ggroc2 <- ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc()
calc_auc(ggroc2)
## PANEL group AUC
## 1 1 1 0.9710145
## 2 1 2 0.7568438
ggroc2
ggplot(rocdata, aes(m = M, d = D)) + geom_roc()
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc()
ggplot(rocdata, aes(m = M, d = D)) + geom_roc() + facet_wrap(~ Z)
ggplot(rocdata, aes(m = M, d = D)) + geom_roc(n.cuts = 20)
ggplot(rocdata, aes(m = M, d = D)) + geom_roc(cutoffs.at = c(1.5, 1, .5, 0, -.5))
ggplot(rocdata, aes(m = M, d = D)) + geom_roc(labels = FALSE)
ggplot(rocdata, aes(m = M, d = D)) + geom_roc(size = 1.25)
ggplot(rocdata, aes(m = M, d = D)) + geom_roc() + geom_rocci()
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc() + geom_rocci()
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc() + geom_rocci(sig.level = .01)
ggplot(rocdata, aes(m = M, d = D)) + geom_roc(n.cuts = 0) +
geom_rocci(ci.at = quantile(rocdata$M, c(.1, .25, .5, .75, .9)))
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc() + geom_rocci(linetype = 1)
D.ex <- rbinom(50, 1, .5)
widedata <- data.frame(D = D.ex, M1 = rnorm(50, mean = D.ex, sd = 1),
M2 = rnorm(50, mean = D.ex, sd = .5))
longdata <- melt_roc(widedata, "D", c("M1", "M2"))
ggplot(longdata, aes(d = D, m = M, color = name)) + geom_roc()
ggplot(rocdata, aes(m = M, d = D)) + geom_roc() + geom_rocci()
ggplot(rocdata, aes(m = M, d = D)) + geom_roc() + style_roc()
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc() + geom_rocci()
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc() + geom_rocci(sig.level = .01)
ggplot(rocdata, aes(m = M, d = D)) + geom_roc(n.cuts = 0) +
geom_rocci(ci.at = quantile(rocdata$M, c(.1, .25, .5, .75, .9)))
ggplot(rocdata, aes(m = M, d = D, color = Z)) + geom_roc() + geom_rocci(linetype = 1)
rocplot <- ggplot(rocdata, aes(m = M, d = D)) + geom_roc()
plot_interactive_roc(rocplot)
plot_interactive_roc(rocplot + aes(color = Z))
plot_interactive_roc(rocplot + facet_wrap( ~ Z))
ggplot(rocdata, aes(m = M, d = D)) + stat_roc()
ggplot(rocdata, aes(m = M, d = D)) + geom_roc() + stat_rocci()
ggplot(rocdata, aes(m = M, d = D)) + geom_roc() +
stat_rocci(ci.at = quantile(rocdata$M, c(.1, .3, .5, .7, .9)))
D.ex <- rbinom(50, 1, .5)
fakedata <- data.frame(M1 = rnorm(50, mean = D.ex),
D = D.ex)
ggplot(fakedata, aes(m = M1, d = D)) + geom_roc() + style_roc()
ggplot(fakedata, aes(m = M1, d = D)) + geom_roc() + style_roc(xlab = "1 - Specificity")
ggplot(fakedata, aes(m = M1, d = D)) + geom_roc() + style_roc(theme = theme_grey)
library(pROC)
## Warning: package 'pROC' was built under R version 3.4.2
## Type 'citation("pROC")' for a citation.
##
## Attaching package: 'pROC'
## The following object is masked from 'package:plotROC':
##
## ggroc
## The following objects are masked from 'package:stats':
##
## cov, smooth, var
data(aSAH)
roc(aSAH$outcome, aSAH$s100b)
##
## Call:
## roc.default(response = aSAH$outcome, predictor = aSAH$s100b)
##
## Data: aSAH$s100b in 72 controls (aSAH$outcome Good) < 41 cases (aSAH$outcome Poor).
## Area under the curve: 0.7314
roc(outcome ~ s100b, aSAH)
##
## Call:
## roc.formula(formula = outcome ~ s100b, data = aSAH)
##
## Data: s100b in 72 controls (outcome Good) < 41 cases (outcome Poor).
## Area under the curve: 0.7314
# Smooth ROC curve
roc(outcome ~ s100b, aSAH, smooth=TRUE)
##
## Call:
## roc.formula(formula = outcome ~ s100b, data = aSAH, smooth = TRUE)
##
## Data: s100b in 72 controls (outcome Good) < 41 cases (outcome Poor).
## Smoothing: binormal
## Area under the curve: 0.74
#CI and plotting
roc1 <- roc(aSAH$outcome, aSAH$s100b, percent=TRUE,
partial.auc=c(100, 90), partial.auc.correct=TRUE,
partial.auc.focus="sens",
ci=TRUE, boot.n=100, ci.alpha=0.9, stratified=FALSE,
plot=TRUE, auc.polygon=TRUE, max.auc.polygon=TRUE, grid=TRUE,
print.auc=TRUE, show.thres=TRUE)
# Add to an existing plot.Beware of 'percent' specification!
roc2 <- roc(aSAH$outcome, aSAH$wfns, plot=TRUE, add=TRUE, percent=roc1$percent)
## Coordinates of the curve ##
coords(roc1, "best", ret=c("threshold", "specificity", "1-npv"))
## threshold specificity 1-npv
## 0.07500 22.22222 20.00000
coords(roc2, "local maximas", ret=c("threshold", "sens", "spec", "ppv", "npv"))
## local maximas local maximas local maximas local maximas
## threshold -Inf 1.50000 2.50000 3.50000
## sensitivity 100.00000 95.12195 65.85366 63.41463
## specificity 0.00000 51.38889 79.16667 83.33333
## ppv 36.28319 52.70270 64.28571 68.42105
## npv NaN 94.87179 80.28169 80.00000
## local maximas local maximas
## threshold 4.50000 Inf
## sensitivity 43.90244 0.00000
## specificity 94.44444 100.00000
## ppv 81.81818 NaN
## npv 74.72527 63.71681
# CI of the AUC
ci(roc2)
## 95% CI: 74.85%-89.88% (DeLong)
# CI of the curve
sens.ci <- ci.se(roc1, specificities=seq(0, 100, 5))
plot(sens.ci, type="shape", col="lightblue")
plot(sens.ci, type="bars")
# need to re-add roc2 over the shape
plot(roc2, add=TRUE)
# CI of thresholds
plot(ci.thresholds(roc2))
# In parallel
if (require(doParallel)) {
registerDoParallel(cl <- makeCluster(getOption("mc.cores", 2L)))
ci(roc2, method="bootstrap", parallel=TRUE)
stopCluster(cl)
}
## Loading required package: doParallel
## Loading required package: foreach
## Loading required package: iterators
## Loading required package: parallel
## Progress disabled when using parallel plyr
## Warning: <anonymous>: ... may be used in an incorrect context: '.fun(piece, ...)'
## Warning: <anonymous>: ... may be used in an incorrect context: '.fun(piece, ...)'
# Test on the whole AUC
roc.test(roc1, roc2, reuse.auc=FALSE)
##
## DeLong's test for two correlated ROC curves
##
## data: roc1 and roc2
## Z = -2.209, p-value = 0.02718
## alternative hypothesis: true difference in AUC is not equal to 0
## sample estimates:
## AUC of roc1 AUC of roc2
## 73.13686 82.36789
# Test on a portion of the whole AUC
roc.test(roc1, roc2, reuse.auc=FALSE, partial.auc=c(100, 90),
partial.auc.focus="se", partial.auc.correct=TRUE)
##
## Bootstrap test for two correlated ROC curves
##
## data: roc1 and roc2
## D = -2.2173, boot.n = 2000, boot.stratified = 1, p-value = 0.0266
## alternative hypothesis: true difference in AUC is not equal to 0
## sample estimates:
## Corrected pAUC (100-90 sensitivity) of roc1
## 54.61239
## Corrected pAUC (100-90 sensitivity) of roc2
## 68.47365
# With modified bootstrap parameters
roc.test(roc1, roc2, reuse.auc=FALSE, partial.auc=c(100, 90),
partial.auc.correct=TRUE, boot.n=1000, boot.stratified=FALSE)
##
## Bootstrap test for two correlated ROC curves
##
## data: roc1 and roc2
## D = -0.06865, boot.n = 1000, boot.stratified = 0, p-value = 0.9453
## alternative hypothesis: true difference in AUC is not equal to 0
## sample estimates:
## Corrected pAUC (100-90 specificity) of roc1
## 64.60919
## Corrected pAUC (100-90 specificity) of roc2
## 64.96933
data(aSAH)
aSAH.copy <- aSAH
aSAH.copy$outcome[42] <- NA
aSAH.copy$s100b[24] <- NA
aSAH.copy$ndka[1:10] <- NA
roc1 <- roc(aSAH.copy$outcome, aSAH.copy$s100b)
roc2 <- roc(aSAH.copy$outcome, aSAH.copy$ndka)
are.paired(roc1, roc2)
## [1] TRUE
roc2$ci <- ci(roc2)
paired <- are.paired(smooth(roc1), roc2, return.paired.rocs=TRUE, reuse.ci=TRUE)
paired.roc1 <- attr(paired, "roc1")
paired.roc2 <- attr(paired, "roc2")
data(aSAH)
# Syntax (response, predictor):
auc(aSAH$outcome, aSAH$s100b)
## Area under the curve: 0.7314
# With a roc object:
rocobj <- roc(aSAH$outcome, aSAH$s100b)
# Full AUC:
auc(rocobj)
## Area under the curve: 0.7314
# Partial AUC:
auc(rocobj, partial.auc=c(1, .8), partial.auc.focus="se", partial.auc.correct=TRUE)
## Corrected partial area under the curve (sensitivity 1-0.8): 0.5801
data(aSAH)
multiclass.roc(aSAH$gos6, aSAH$s100b)
## Warning in multiclass.roc.default(aSAH$gos6, aSAH$s100b): No observation
## for response level(s): 2
##
## Call:
## multiclass.roc.default(response = aSAH$gos6, predictor = aSAH$s100b)
##
## Data: aSAH$s100b with 4 levels of aSAH$gos6: 1, 3, 4, 5.
## Multi-class area under the curve: 0.654
# Select only 3 of the aSAH$gos6 levels:
multiclass.roc(aSAH$gos6, aSAH$s100b, levels=c(3, 4, 5))
##
## Call:
## multiclass.roc.default(response = aSAH$gos6, predictor = aSAH$s100b, levels = c(3, 4, 5))
##
## Data: aSAH$s100b with 3 levels of aSAH$gos6: 3, 4, 5.
## Multi-class area under the curve: 0.654
# Give the result in percent
multiclass.roc(aSAH$gos6, aSAH$s100b, percent=TRUE)
## Warning in multiclass.roc.default(aSAH$gos6, aSAH$s100b, percent = TRUE):
## No observation for response level(s): 2
##
## Call:
## multiclass.roc.default(response = aSAH$gos6, predictor = aSAH$s100b, percent = TRUE)
##
## Data: aSAH$s100b with 4 levels of aSAH$gos6: 1, 3, 4, 5.
## Multi-class area under the curve: 65.4%
library(ROCR)
## Loading required package: gplots
##
## Attaching package: 'gplots'
## The following object is masked from 'package:stats':
##
## lowess
data(ROCR.simple)
head(ROCR.simple)
## $predictions
## [1] 0.612547843 0.364270971 0.432136142 0.140291078 0.384895941
## [6] 0.244415489 0.970641299 0.890172812 0.781781371 0.868751832
## [11] 0.716680598 0.360168796 0.547983407 0.385240464 0.423739359
## [16] 0.101699993 0.628095575 0.744769966 0.657732644 0.490119891
## [21] 0.072369921 0.172741714 0.105722115 0.890078186 0.945548941
## [26] 0.984667270 0.360180429 0.448687336 0.014823599 0.543533783
## [31] 0.292368449 0.701561487 0.715459280 0.714985914 0.120604738
## [36] 0.319672178 0.911723615 0.757325590 0.090988280 0.529402244
## [41] 0.257402979 0.589909284 0.708412104 0.326672910 0.086546283
## [46] 0.879459891 0.362693564 0.230157183 0.779771989 0.876086217
## [51] 0.353281048 0.212014560 0.703293499 0.689075677 0.627012496
## [56] 0.240911145 0.402801992 0.134794140 0.120473353 0.665444679
## [61] 0.536339509 0.623494622 0.885179651 0.353777439 0.408939895
## [66] 0.265686095 0.932159806 0.248500489 0.858876675 0.491735594
## [71] 0.151350957 0.694457482 0.496513160 0.123504905 0.499788081
## [76] 0.310718619 0.907651100 0.340078180 0.195097957 0.371936985
## [81] 0.517308606 0.419560072 0.865639036 0.018527600 0.539086009
## [86] 0.005422562 0.772728821 0.703885141 0.348213542 0.277656869
## [91] 0.458674210 0.059045866 0.133257805 0.083685883 0.531958184
## [96] 0.429650397 0.717845453 0.537091350 0.212404891 0.930846938
## [101] 0.083048377 0.468610247 0.393378108 0.663367560 0.349540913
## [106] 0.194398425 0.844415442 0.959417835 0.211378771 0.943432189
## [111] 0.598162949 0.834803976 0.576836208 0.380396459 0.161874325
## [116] 0.912325837 0.642933593 0.392173971 0.122284044 0.586857799
## [121] 0.180631658 0.085993218 0.700501359 0.060413627 0.531464015
## [126] 0.084254795 0.448484671 0.938583020 0.531006532 0.785213140
## [131] 0.905121019 0.748438143 0.605235403 0.842974300 0.835981859
## [136] 0.364288579 0.492596896 0.488179708 0.259278968 0.991096434
## [141] 0.757364019 0.288258273 0.773336236 0.040906997 0.110241034
## [146] 0.760726142 0.984599159 0.253271061 0.697235328 0.620501132
## [151] 0.814586047 0.300973098 0.378092079 0.016694412 0.698826511
## [156] 0.658692553 0.470206008 0.501489336 0.239143340 0.050999138
## [161] 0.088450984 0.107031842 0.746588080 0.480100183 0.336592126
## [166] 0.579511087 0.118555284 0.233160827 0.461150807 0.370549294
## [171] 0.770178504 0.537336015 0.463227453 0.790240205 0.883431431
## [176] 0.745110673 0.007746305 0.012653524 0.868331219 0.439399995
## [181] 0.540221346 0.567043171 0.035815400 0.806543942 0.248707470
## [186] 0.696702150 0.081439129 0.336315317 0.126480399 0.636728451
## [191] 0.030235062 0.268138293 0.983494405 0.728536415 0.739554341
## [196] 0.522384507 0.858970526 0.383807972 0.606960209 0.138387070
##
## $labels
## [1] 1 1 0 0 0 1 1 1 1 0 1 0 1 0 0 0 1 1 1 0 0 0 0 1 0 1 0 0 1 1 0 1 1 1 0
## [36] 0 1 1 0 1 0 1 0 1 0 1 0 1 0 1 1 0 1 0 1 0 0 0 0 1 1 1 1 0 0 0 1 0 1 0
## [71] 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 1 0 0 1 0 1 0 1 1 0 1 0 0 0 1 0
## [106] 0 1 0 0 1 1 1 0 0 0 1 1 0 0 1 0 0 1 0 1 0 0 1 1 1 1 1 0 1 1 0 0 0 0 1
## [141] 1 0 1 0 1 0 1 1 1 1 1 0 0 0 1 1 0 1 0 0 0 0 1 0 0 1 0 0 0 0 1 1 0 1 1
## [176] 1 0 1 1 0 1 1 0 1 0 0 0 1 0 0 0 1 0 1 1 0 1 0 1 0
str(ROCR.simple)
## List of 2
## $ predictions: num [1:200] 0.613 0.364 0.432 0.14 0.385 ...
## $ labels : num [1:200] 1 1 0 0 0 1 1 1 1 0 ...
pred <- prediction( ROCR.simple$predictions, ROCR.simple$labels)
perf <- performance(pred,"tpr","fpr")
plot(perf)
# precision/recall curve (x-axis: recall, y-axis: precision)
perf1 <- performance(pred, "prec", "rec")
plot(perf1)
# sensitivity/specificity curve (x-axis: specificity, y-axis: sensitivity)
perf1 <- performance(pred, "sens", "spec")
plot(perf1)
library(ROCR)
data(ROCR.simple)
pred <- prediction( ROCR.simple$predictions, ROCR.simple$labels )
perf <- performance( pred, "tpr", "fpr" )
plot( perf )
par(bg="lightblue", mai=c(1.2,1.5,1,1))
plot(perf, main="Flashing ROCR", colorize=TRUE,
xlab="Fancy's axis", ylab="", box.lty=7, box.lwd=5,
box.col="gold", lwd=17, colorkey.relwidth=0.5, xaxis.cex.axis=2,
xaxis.col='blue', xaxis.col.axis="blue", yaxis.col='green', yaxis.cex.axis=2,
yaxis.at=c(0,0.5,0.8,0.85,0.9,1), yaxis.las=1, xaxis.lwd=2, yaxis.lwd=3,
yaxis.col.axis="orange", cex.lab=2, cex.main=2)
data(ROCR.hiv)
attach(ROCR.hiv)
head(ROCR.hiv)
## $hiv.svm
## $hiv.svm$predictions
## $hiv.svm$predictions[[1]]
## [1] -0.438185 -0.766791 0.695282 -0.689079 0.325977 0.704040 1.422915
## [8] -1.112458 -1.239353 -1.163479 -1.249179 -1.183217 -0.482047 -1.419155
## [15] -1.357454 -1.236376 -0.667208 -1.079467 -1.020470 -1.068615 -1.347979
## [22] -1.184237 -0.860974 -0.156131 0.144480 -1.357956 -1.071035 -0.801116
## [29] -1.228127 -0.991477 -1.261910 -0.936294 -1.310113 0.912903 0.221212
## [36] -0.806467 0.948370 -1.034398 -0.387337 -1.290532 -0.880723 -1.185088
## [43] -1.428262 0.302189 -1.208293 -1.412933 -1.353478 -1.285134 -1.304379
## [50] -1.030925 -1.295458 -0.993094 -0.876537 -0.726600 -0.794517 -1.053133
## [57] -1.361574 -1.099695 -1.077981 -0.919193 -1.238934 -1.353478 -0.349184
## [64] 0.310990 -0.935240 -1.431516 -1.207431 -1.185414 -0.594452 -1.307538
## [71] 0.707511 1.042632 -1.296382 0.314858 0.241985 0.270567 -1.096560
## [78] -1.366069 -0.947166 -0.914700 -1.388529 -1.122447 -1.017321 -0.262716
## [85] -0.703299 -1.096417 -1.424439 -1.499219 -1.353560 -1.225325 -1.577254
## [92] -1.015829 -1.287720 -0.979322 -1.295743 -1.160898 -0.723005 0.301115
## [99] -1.248901 -0.874170 -1.073742 -0.627823 -1.389726 0.049844 -0.044112
## [106] 0.974304 -1.033988 -0.100751 -0.878682 -1.166582 1.096682 -1.294904
## [113] -1.059792 -0.999583 -0.899501 -1.345539 -1.177873 -1.336806 -1.088830
## [120] -1.023221 -1.006052 -1.337305 -1.228366 -1.065159 0.073578 -0.896028
## [127] -1.068752 -1.294904 -0.915792 -1.113223 0.987704 -1.030048 -0.983503
## [134] -1.372322 -1.155365 -0.995110 -1.308568 -1.418269 -1.058457 -0.269247
## [141] 0.911593 1.385848 -0.311606 -0.062705 0.710734 0.123619 -1.086790
## [148] -1.006339 -1.228791 -1.397971 -1.025429 -1.065099 -1.108066 -1.301792
## [155] -0.890978 -1.358178 -1.044670 -1.067671 -1.135414 -0.941799 -1.382462
## [162] -1.223338 -1.207095 -0.807587 -1.362152 -1.081672 -0.999797 -1.197561
## [169] -1.189453 -1.566220 -0.683242 -1.209947 -1.020832 0.715377 -0.833625
## [176] 1.083304 0.531651 0.661771 -0.200237 0.066155 -0.839555 -0.777793
## [183] -1.377465 0.007535 -1.153396 -1.183588 -1.173500 -0.788267 -0.860313
## [190] -1.261190 -1.195043 -1.207999 -1.145293 -1.100795 -1.075882 -1.164832
## [197] -1.138390 -0.527397 -1.317003 -1.442354 -0.897761 -0.784845 -1.025765
## [204] -1.249637 -1.319740 -1.377465 -1.468565 -1.148187 -0.018087 0.545285
## [211] 0.810509 0.852858 0.713035 -0.166551 0.801509 -1.420588 -0.960271
## [218] -1.139361 -1.158813 -1.225860 -1.386522 -0.896825 -0.928727 -0.700463
## [225] -1.043420 -1.430508 -1.189421 -1.001158 -1.162686 -1.055756 -1.128230
## [232] -1.380990 -1.282186 -1.240579 -1.113486 -1.176034 -1.133641 -1.073255
## [239] -1.035288 -1.031647 -0.627985 -0.965508 0.380112 -0.064892 -1.026136
## [246] -0.116441 -0.675308 0.194113 0.158261 -0.651344 -1.273850 -1.048718
## [253] -1.177973 -1.092464 -1.389756 -1.030459 -1.011063 -1.371367 -1.083793
## [260] -1.140163 -1.220205 -1.248882 -0.806585 -0.844279 -1.234780 -0.188455
## [267] -0.645759 -0.962215 -1.101149 -0.955859 -1.395363 -0.829265 -1.054730
## [274] -1.014685 -0.786172 -1.089753 0.761224 1.516425 -1.314550 -0.316607
## [281] -0.021527 1.040227 -0.699543 0.320235 -1.324065 -1.223056 -0.913071
## [288] -0.809872 -0.943078 -1.257169 -0.910794 -0.691700 -0.933348 -1.127002
## [295] -1.066477 -1.223056 0.141315 -0.329904 -1.176870 -1.204943 -0.763703
## [302] -1.155976 -1.290873 -1.179669 -1.046978 -1.335325 -0.886577 -0.806786
## [309] -1.322543 -1.168708 -0.540442 -0.171215 0.092743 0.322943 -0.911314
## [316] 1.396635 1.729447 -0.275922 1.233046 -1.025449 -1.235457 -0.893408
## [323] -1.202666 -1.467211 -1.248732 -1.012752 -1.043558 -1.378851 -1.075935
## [330] -1.247373 -1.461930 -1.099133 -1.446688 -1.316691 -0.497199 -1.248830
## [337] -1.560397 -1.357633 -1.213491 -1.403291 -1.229697 -1.150396 -0.930206
## [344] -1.169309 -1.060596
##
## $hiv.svm$predictions[[2]]
## [1] 0.759100 0.034400 0.524807 -0.798538 -0.389808 -0.111790 -1.285333
## [8] 0.034934 -1.403018 -1.293926 -1.081500 -1.099169 -1.129114 -0.947970
## [15] -1.004215 -1.283907 -1.076328 -1.114206 -1.219246 -1.177479 -1.303645
## [22] -0.879374 -1.243832 -0.682909 -0.461359 -1.096460 -1.510968 -1.189193
## [29] -0.829852 -1.272047 -1.335438 -1.497293 -1.084425 -1.088657 -1.324771
## [36] 0.428128 0.086499 0.665587 1.121692 -0.335849 0.646694 1.367674
## [43] -1.189777 -1.268169 0.165759 -1.166187 -1.045332 -1.000391 -1.327653
## [50] -1.333348 -1.098707 -1.306005 -1.004683 -1.509036 -1.169646 0.102819
## [57] -1.217334 -1.160917 -1.387404 -1.007473 -1.193100 -0.831825 -1.283626
## [64] -1.244949 -1.312411 -0.862380 -1.413020 -1.175321 0.838019 0.015047
## [71] -1.000520 -1.062506 0.848282 -0.405835 0.511189 -1.135180 -1.063586
## [78] -1.143036 -1.227353 -1.237392 -0.652242 -1.056738 -0.696981 -1.153986
## [85] -1.064977 -0.984053 -1.191037 -1.373951 -1.071743 -1.359628 -0.820281
## [92] -1.252612 -1.316442 -0.953194 0.875468 -0.653300 -1.256709 -1.177755
## [99] -0.696981 -0.787883 -1.453550 -0.749914 -0.687836 0.536451 0.489497
## [106] 1.024403 -0.034038 -0.343111 -0.196804 0.009117 -1.403684 -1.285232
## [113] -1.233222 -0.813172 -1.250308 -1.121078 -0.850452 -0.177239 -0.743664
## [120] -0.974771 -1.349443 -1.112871 -1.096754 -1.151650 -1.097369 -1.420829
## [127] -0.552841 -0.033178 -1.303292 -1.137143 -0.797308 0.266317 -0.852379
## [134] -1.077927 -1.151240 -0.959926 -1.228460 0.037247 -0.833677 1.585274
## [141] 0.837658 0.087527 -0.988446 -0.675299 -0.530453 -1.265266 -1.336363
## [148] -1.079023 -1.210859 -0.972753 -1.147263 -0.981072 -1.266014 -1.407671
## [155] -1.203535 -1.362446 -1.265266 -0.740693 -1.257445 -1.012456 -1.179873
## [162] -1.165761 -1.268814 -1.117089 -0.946323 -1.085911 -0.894315 -1.156113
## [169] -0.997977 -1.177176 -0.483591 -1.181716 0.261153 -0.781489 0.859748
## [176] -0.085085 -1.148280 0.148881 1.017267 -0.843366 -0.979449 -1.272533
## [183] 0.086415 -1.234026 -1.370019 -1.123558 -1.346916 -0.635442 -0.900059
## [190] -1.234026 -1.089781 -0.877154 -1.241855 -0.687810 -1.322437 -1.204223
## [197] -1.234026 -1.019033 -1.031731 -1.206689 -1.071895 -0.927375 -0.811814
## [204] -1.201835 -1.258839 -0.818774 -1.135466 -0.099347 -0.003086 0.365198
## [211] 0.983629 0.644931 1.044113 0.060857 1.049324 -1.205366 -0.954251
## [218] -0.966780 -1.106021 -1.259570 -1.314819 -1.145722 -1.056726 -1.214742
## [225] -1.032993 -1.213372 -1.011107 -1.337654 -1.227057 -1.155787 -0.236476
## [232] -0.533438 -1.614922 -1.257889 -0.983554 -0.776561 -1.216825 -1.334090
## [239] -0.997030 -0.735516 -1.387184 -0.842021 -0.624029 1.513554 0.716043
## [246] -0.347441 1.451015 0.158689 -1.032955 -0.885309 -1.272487 -1.089647
## [253] -1.252294 -0.959362 -1.330288 -1.175646 -0.909151 -1.349139 -0.915245
## [260] -1.087726 -1.061520 -1.401607 -0.913347 -0.426353 -1.330288 -1.071610
## [267] -1.359465 -0.933672 -1.302547 -1.036064 -1.036258 -1.201081 0.130660
## [274] -1.215630 -0.962425 -1.055578 -0.985324 -0.164631 -0.130324 -0.021854
## [281] -0.675931 -1.191750 0.237691 0.086137 -0.074756 -0.752590 -1.277244
## [288] -1.093352 -1.362853 -1.437946 -1.449239 -0.924083 -1.041603 -1.261131
## [295] -0.699210 -1.199396 -0.924173 -1.207977 -0.769793 -1.096515 -0.926960
## [302] -0.160529 -0.944824 -1.338264 -1.310489 -1.318857 -0.398148 -1.062170
## [309] -1.219697 -1.273681 -1.033948 -1.087879 -1.292274 -1.031019 0.756551
## [316] -1.302535 1.609712 0.175566 1.452083 -1.163881 -0.905554 -0.968844
## [323] -1.304933 -1.356755 -1.100063 -1.021899 -0.954424 -0.764284 -1.024648
## [330] -1.341876 -1.146455 0.146798 -1.441456 -1.151477 -1.014715 -1.257693
## [337] -1.085607 -1.413600 -0.943997 -1.384850 -1.122423 -0.908725 -1.103149
## [344] -1.059391 -1.170664
##
## $hiv.svm$predictions[[3]]
## [1] 0.912867 0.052352 1.634829 1.060653 -1.254648 0.421512 0.626459
## [8] -1.099827 -1.248825 -1.108692 -1.329417 -1.038283 -1.019927 -1.077849
## [15] -1.218474 -1.113244 -1.098533 -1.225402 -1.464447 -1.229692 -1.154565
## [22] -1.197432 -1.001742 -1.218953 -1.054113 -1.274330 -1.175785 -0.702667
## [29] -1.116119 0.201606 -1.495319 -1.102366 -0.447264 -1.003714 0.562891
## [36] -0.041616 0.786490 0.838709 -1.145344 0.230438 -1.415201 -1.085272
## [43] -1.427144 -0.992381 -1.350390 -1.211439 -1.192951 -1.125858 -1.243411
## [50] -1.030360 -0.959505 -1.289776 -1.500419 -1.144167 -1.000375 -0.960426
## [57] -1.146292 -0.190086 -1.243411 -1.281759 -1.122401 -1.387924 0.163258
## [64] -1.133958 -1.185417 -0.935555 -1.129778 -1.156681 -0.400622 1.453541
## [71] 1.092623 -0.327591 -0.177595 -0.182320 0.926769 0.206259 -0.832438
## [78] -1.024949 -0.917708 -1.204805 -1.350339 -1.268633 -1.398844 -0.310547
## [85] -1.244755 -0.938635 -1.071945 -1.225981 -0.916362 -0.869284 -1.350339
## [92] -1.451361 -0.541912 -1.311082 -1.276847 -0.999964 -1.054555 -0.975688
## [99] -1.135355 -0.752816 -1.138699 -0.975154 -0.057036 0.122935 0.347969
## [106] 0.060588 0.616065 -1.000496 1.418528 0.290874 -1.137926 -1.312403
## [113] -1.162760 -1.144033 -0.989595 -1.101833 -0.989462 -1.272880 -0.968744
## [120] -1.060336 -1.030044 -1.234910 -1.169636 -0.951264 -1.089662 -0.816862
## [127] -1.385419 -1.134613 -1.526203 -1.072518 -0.998077 -1.246763 -1.318770
## [134] -1.272907 -0.792181 -1.118363 1.025639 0.660174 -1.093767 -0.873337
## [141] -0.083271 1.065331 -0.074945 -0.541186 -0.968323 -1.023893 -1.006466
## [148] -1.245019 -1.373393 -1.054719 -0.887633 -0.982097 -1.389395 -1.347671
## [155] -1.405840 -1.185065 -1.367830 -0.545547 -1.083586 -0.205816 -1.273991
## [162] 0.032076 -0.914430 -0.914601 -0.817664 -1.204182 -0.753614 -1.162374
## [169] -0.937590 -1.401766 0.370867 0.068495 -0.739359 1.403997 0.439262
## [176] 1.538627 0.319465 -0.830940 -1.365026 -1.204131 -1.059447 -1.223728
## [183] -1.335999 -1.332971 -0.959638 -0.937082 -1.236754 -1.021303 -0.999657
## [190] -0.779618 0.269827 -1.196825 -1.170065 -0.898372 -0.527094 -1.039405
## [197] -1.109439 -1.011852 -1.194532 -1.269389 -0.882880 -1.009622 -1.035529
## [204] -1.163582 -1.233181 -1.127577 -0.761918 0.622274 -0.753320 0.031768
## [211] -0.214689 -1.280202 0.189213 -1.564907 -1.539487 -1.264628 -0.828247
## [218] -1.126904 -0.596275 -0.906066 -0.585195 -0.796071 -1.195282 -1.407693
## [225] -1.248341 -1.234424 -1.402922 -1.073984 -1.138287 -1.082414 -1.653929
## [232] -1.182186 -1.186126 -1.388538 -1.218609 -1.240658 -0.895568 -1.375336
## [239] -0.597198 -0.943957 0.012154 -1.412513 0.915731 -0.847150 -0.397901
## [246] -0.392726 -0.266296 1.289589 -1.200926 -1.206539 -1.096906 -1.097931
## [253] -1.279586 -1.188617 -0.958902 -1.238583 -1.093193 -1.015866 -1.203405
## [260] -1.150688 -0.761824 -0.725926 -1.523715 -1.155504 -1.566584 -0.968876
## [267] -1.227932 -0.878726 -0.756019 -0.293930 -1.223593 -1.045919 -1.318349
## [274] -0.822111 -1.225293 -0.690298 0.140648 0.060320 0.606263 0.565632
## [281] 0.690666 0.269400 0.343535 -1.162769 -1.033003 0.236634 -1.140949
## [288] -1.415281 -1.115604 -0.988231 -1.318492 -0.896131 -1.174796 -0.988554
## [295] -1.028023 -1.044032 0.098239 -1.301089 -1.182431 -0.652155 -1.293394
## [302] -1.337415 -1.072046 -1.281546 -0.939467 -0.595057 -0.999756 -1.367624
## [309] -1.033800 -0.970429 -0.138642 -0.785254 0.761329 0.926074 1.380496
## [316] -0.061203 -0.942663 -0.887711 -1.281572 -0.904360 0.178995 -1.057542
## [323] -1.245788 -1.380366 -1.368783 -1.024694 -0.733881 -1.135069 -1.366028
## [330] -1.200088 -1.417752 -1.298562 -1.175001 -1.287314 -1.281572 -0.945491
## [337] -1.311414 -1.237225 -0.806067 -1.183766 -1.281572 -1.371445 -1.032992
## [344] -1.476396 -0.491531
##
## $hiv.svm$predictions[[4]]
## [1] -0.608687 0.155608 0.904582 0.540476 -0.167003 -0.245767 0.855345
## [8] -0.777881 -1.445462 -1.308836 -0.899786 -1.168525 -1.000135 -1.148878
## [15] -1.325592 -1.076548 -1.054687 -1.260990 -1.075404 -1.163738 -1.066067
## [22] -0.131033 -1.077248 -0.333484 -1.066174 -0.998244 -1.366885 -1.095522
## [29] -1.429647 -0.292264 -1.384965 -1.142908 -1.352892 -0.511227 0.114045
## [36] -0.098617 -1.331171 -0.731370 -0.570752 -1.293119 1.682977 1.057116
## [43] -0.368924 -1.097424 -1.391777 0.176732 -1.302862 -1.435200 -1.070535
## [50] -0.818164 -0.198911 -1.235527 -1.029802 -1.049151 -1.487173 -1.176828
## [57] -1.389017 -1.141946 -1.216488 -1.345348 -0.996290 -1.343916 -1.241048
## [64] -0.830114 -0.945400 -1.327243 -1.132691 -1.196948 -1.169189 -1.125116
## [71] 1.006986 -0.603398 -0.072512 1.168655 0.216806 0.608370 0.405918
## [78] -0.880828 -1.050847 -1.346088 -1.257848 -0.948999 -1.148744 -1.331232
## [85] -0.671601 -0.652425 -0.809821 -1.056421 -0.999671 -1.028374 -1.462821
## [92] -0.386167 -1.341437 -1.051350 -1.293450 -0.755592 -0.883552 -1.168016
## [99] -0.777217 0.254435 -1.041437 -1.059869 -0.965204 -1.158586 -1.139478
## [106] 0.771306 -0.800964 -1.104508 0.025143 1.277595 0.312618 -1.380189
## [113] 1.215876 -1.275290 -1.298704 -1.202357 -1.320309 -1.293248 -1.133530
## [120] -1.433939 -0.685290 -1.398497 -1.018628 -1.242548 -1.275290 -1.398497
## [127] -0.881997 -1.261423 -0.812701 -1.349430 -1.306975 -1.287800 -1.174083
## [134] -1.405864 -1.270488 -0.854280 -0.817610 -1.329017 -1.509516 -0.942629
## [141] 0.902291 -0.229639 1.172767 0.821917 -0.747470 -0.921787 -0.990474
## [148] 1.739525 -0.770073 -1.046831 -1.003826 -1.277629 -1.042844 -1.367532
## [155] -0.942481 -1.406786 -0.989633 -1.175332 -1.376561 -1.447144 0.160822
## [162] -1.161602 -1.121316 -1.508885 -0.528878 -0.906617 -1.165595 -1.012992
## [169] -1.188178 -1.196356 -0.858592 -1.223019 -1.044368 -1.125508 0.319855
## [176] 0.038354 0.368097 -0.334251 -0.446289 1.023006 1.500059 0.193827
## [183] -0.998434 -1.244916 -0.842083 -0.998049 -1.425834 -1.175554 -1.284632
## [190] -0.973824 -1.036020 -1.045689 -1.273474 -1.162698 -1.112470 -1.014583
## [197] -1.425834 -0.791583 -1.436578 -1.135054 -1.083318 -1.218380 -0.915230
## [204] -1.358471 -0.821803 -1.163168 -1.281879 -1.086079 -0.885996 0.433010
## [211] -0.019240 0.687558 0.895452 -0.884728 -0.268417 -0.057495 -0.125875
## [218] -1.226584 -1.230659 -0.977622 -1.095541 -1.316129 -1.083308 -1.024686
## [225] -1.011852 -0.727183 -1.007651 -1.205555 -1.208267 -1.159951 -1.348289
## [232] -1.404244 -0.991648 -1.210961 -1.319192 -1.429351 -0.917878 -0.731435
## [239] -0.914810 -1.278072 -1.023625 -0.733715 -1.343180 -0.211506 -0.068871
## [246] 1.026942 0.638824 0.596370 0.077243 -1.238629 -1.190898 -0.964137
## [253] 0.022179 -1.282679 -1.235623 -1.058134 -1.185041 -1.338557 -0.731798
## [260] -1.219770 -1.455045 -1.209176 -1.164735 -1.155250 -0.814972 -1.201259
## [267] -1.186457 -1.099071 -1.543293 -1.146733 -1.359549 -0.999623 -1.021701
## [274] -1.414762 -0.962000 -1.572716 -1.282267 -1.068268 0.532539 0.716009
## [281] 0.533425 0.623563 -0.468513 0.069318 0.199276 -1.253836 -1.016930
## [288] -1.040670 -1.305730 -1.361430 -1.265656 -1.026222 -1.228904 -0.613763
## [295] -1.396460 -1.016427 -0.835876 -0.756970 -0.704797 -1.208781 -1.272722
## [302] -0.337000 0.026646 -1.366579 -1.119175 -1.055167 -1.272220 -1.096658
## [309] -0.821430 -0.994165 -1.190610 -1.354764 -0.365824 1.501770 0.819448
## [316] -0.942928 0.027130 0.113262 -0.036186 -1.197983 -1.107891 -1.135844
## [323] -1.136208 -1.204510 -0.547240 -1.055116 -1.269912 -1.241962 -1.063810
## [330] -1.325273 -1.194623 -1.218228 -0.955344 -1.078626 -1.213543 -0.151676
## [337] -1.274139 -1.244432 -0.926830 -0.791545 -1.269912 0.130575 -1.257892
## [344] -0.941449 -0.614333
##
## $hiv.svm$predictions[[5]]
## [1] 0.961944 0.659135 -1.319163 1.354678 -0.395741 -0.951700 -1.071733
## [8] -0.408678 -1.274342 -1.453388 -1.089812 -1.327834 -1.275568 -1.179713
## [15] -1.014953 -1.079377 -0.813817 -0.869062 -1.179626 -1.517607 0.197712
## [22] -1.202994 -1.030157 -0.780397 -1.336111 -0.043930 -1.293681 -0.743638
## [29] -1.253974 -1.058052 -1.202346 -0.754971 -1.375521 -1.131789 -1.194652
## [36] 0.643218 0.107462 0.080886 0.024959 0.345068 0.627354 0.120525
## [43] -0.034351 -0.839155 -1.103362 -1.158927 -1.264314 -1.023406 -1.160159
## [50] -1.297143 -1.335761 -0.888922 -1.225950 -1.109899 -0.788091 -1.413548
## [57] -1.052029 -1.210701 -1.159232 -1.264314 -1.225470 -1.234580 -1.054715
## [64] -1.337865 -1.317691 0.190928 -1.142088 -0.970099 -0.542687 -1.065582
## [71] -0.060367 0.287819 0.854885 0.966537 -1.084998 -0.076512 1.420729
## [78] 0.183315 -1.109059 -1.308558 -0.984487 -0.827077 -1.394674 -1.319307
## [85] -1.456442 -1.237826 -1.059770 -1.116792 -0.983489 -1.135856 -1.402347
## [92] -0.949378 -1.441234 -1.005170 0.024227 -1.369043 -1.132716 -0.983489
## [99] -1.005715 -1.222516 -1.157843 -0.940519 -0.983509 -0.622950 -1.110812
## [106] -0.124486 0.855621 -0.927141 0.016734 1.086890 0.189316 -1.073050
## [113] -1.122581 -1.061309 -1.169193 -1.126404 -0.494100 -0.845286 -1.055168
## [120] -0.896003 -1.050993 -1.006311 -1.018983 -0.780928 -1.189290 -1.327381
## [127] -0.900184 -0.392593 -1.030215 -1.590244 -1.127291 -1.425281 -1.007101
## [134] -1.036658 -1.272850 -0.780561 -1.576979 -1.159048 -0.877874 -1.455506
## [141] 0.754895 -0.681338 0.543589 0.472369 -0.204757 1.063657 -1.082515
## [148] -1.325601 -1.043735 -1.231579 -0.975968 -1.073498 -0.994282 -0.527977
## [155] -1.261870 -1.118665 -1.419022 -1.239174 -1.158485 0.035417 -1.420117
## [162] -0.776330 -1.436887 -1.008058 -1.005043 -1.211015 -0.861781 -1.278725
## [169] -1.200585 -1.105033 -1.164845 -1.133199 -1.418932 0.288531 1.425690
## [176] -1.077665 0.687531 -0.372997 -0.301731 0.665107 -1.020462 -1.127333
## [183] -1.488282 -1.113958 -1.166754 -1.537788 -1.383865 -1.154384 -1.330996
## [190] -1.506771 -1.055332 -1.466091 -1.242130 -1.204020 -0.427363 -1.130227
## [197] -1.339074 -1.309114 -1.018500 -1.449262 -1.208910 -0.726193 -1.302398
## [204] -1.325795 -1.539478 -1.356343 -1.224490 -1.391752 0.170845 -0.642909
## [211] 1.017053 0.496318 -1.261124 -0.214178 -0.289514 -1.185845 -1.044757
## [218] 0.102000 -1.037935 -1.278825 -1.037518 -0.907796 -0.209619 -0.908339
## [225] -1.088417 -1.044081 -1.037053 -1.179433 -1.336532 -1.110670 -0.338532
## [232] -1.487505 -0.962415 -1.272013 -1.200646 -0.717104 -0.964163 -0.774487
## [239] -1.143695 -0.984750 -1.061539 0.991351 0.285125 -0.789044 0.827355
## [246] 0.074950 0.062857 -1.276463 0.375826 -1.151971 -0.898024 0.138275
## [253] -1.238402 -1.341530 -1.233720 -1.088069 -0.884161 -0.732500 -1.038836
## [260] -1.207802 -1.503845 -1.196968 -1.485399 -1.176862 -0.935432 -0.577968
## [267] -0.814362 -1.250816 -1.186272 -1.324290 -1.242722 -0.813526 -0.790343
## [274] -0.696969 -0.838665 -0.980784 -0.501783 -0.074356 0.499156 0.795292
## [281] 0.892859 1.620952 -0.723451 0.168875 -1.237685 -1.292450 -0.986796
## [288] -0.976980 -1.398326 -1.009238 -1.028058 -1.384451 -1.222336 -1.248104
## [295] -1.181125 -1.165765 -0.835302 -0.891348 -1.094062 -1.107948 -1.099459
## [302] -1.301769 -1.361305 -0.797404 -0.707406 0.390150 -1.159712 -1.129976
## [309] -1.375778 -1.066777 -0.168752 -1.081466 1.588516 -0.354279 1.341434
## [316] 0.468305 0.936376 -0.803576 -1.446457 -0.953032 -1.036046 -1.213376
## [323] -1.182749 -1.149056 -1.189934 -0.725426 -1.148615 -1.021571 -1.403239
## [330] -1.059715 -0.909301 -0.693863 -0.865456 -1.248432 -1.274340 -1.020366
## [337] -0.996234 -1.101355 -1.137121 -0.334046 -0.828616 -1.082220 -0.976505
## [344] -1.399287 -0.610053
##
## $hiv.svm$predictions[[6]]
## [1] 0.237535 -0.181297 0.892703 0.965019 0.341141 0.000502 0.655159
## [8] 0.153337 -1.121372 -0.896632 -0.877941 -1.174334 -1.353390 -1.105885
## [15] -1.086694 -1.327551 -0.714090 -1.111700 -1.199466 -1.157268 -1.423765
## [22] -1.406804 -1.177429 -1.339008 -0.309144 -1.013229 -1.079221 -1.152979
## [29] -1.354244 -0.314745 -0.898031 -1.160446 -1.310793 -1.114375 -1.231143
## [36] -1.118907 0.178301 -0.726822 -0.993101 -1.043204 1.699471 -1.212912
## [43] -1.264277 -1.323372 0.195631 -1.174183 -1.245017 -1.281531 -1.124483
## [50] -1.406088 -1.414879 -1.039528 -1.235144 -0.753350 -1.041222 -0.804101
## [57] -1.140588 -1.062235 -0.618426 -0.984460 -1.112854 -0.791992 -0.866113
## [64] -1.311382 -0.753350 -0.934336 -1.091671 -1.243246 -0.549990 0.567459
## [71] 1.349580 0.789114 -0.902815 -0.011225 0.332267 -1.088295 -0.883568
## [78] -1.143032 -1.074002 -1.169853 -1.248139 -1.105900 -1.243162 -1.356053
## [85] -1.082323 -1.084548 -1.124415 -1.474183 -1.147523 0.189784 -0.747696
## [92] -1.493737 -1.148386 -1.223346 -1.310273 -1.563512 -1.013651 -0.663551
## [99] -0.850126 -1.281978 -1.006916 -1.375062 -0.535635 0.033761 -1.398361
## [106] 0.214519 0.790297 1.456787 -0.912063 0.113262 -0.834429 -1.039054
## [113] -1.416219 -1.030622 -1.051902 -1.511106 -1.310256 -0.890307 -0.704858
## [120] -1.262623 -0.985791 -0.995301 -1.189757 -1.177686 -0.140296 -1.023907
## [127] -1.191238 -0.378688 -0.933291 -1.328007 -0.919464 -0.936528 -1.040858
## [134] -1.270842 -1.507834 -0.917180 -1.478093 -1.353475 0.887350 -0.829766
## [141] 0.625981 -0.382015 -0.369086 -0.377043 0.141038 -1.251370 -0.937839
## [148] -0.975530 -1.009539 -1.288195 -1.399891 -0.956181 -1.287625 -0.703224
## [155] -1.213332 -1.406824 -0.930099 -1.139186 -1.293012 -1.347080 -0.553912
## [162] -1.251370 -0.966528 -1.320653 -1.041815 -1.347080 -1.261063 -1.320653
## [169] -1.093567 -0.713555 -1.132691 -1.164194 -0.593938 0.126373 0.812882
## [176] 0.567767 -0.341676 -0.047401 -0.279303 -0.007154 -1.311486 -0.985045
## [183] -1.125471 -1.123938 -1.072537 -1.048558 -0.982052 -1.311495 -0.916426
## [190] -1.052404 -1.014033 -1.458194 -0.752589 -0.487841 -1.035147 -1.362591
## [197] -1.298590 -0.957916 -1.095074 -1.011121 -1.282862 0.082939 -1.206917
## [204] -1.206803 -1.057199 -1.019478 -0.995646 -0.158868 -0.602978 1.141311
## [211] 1.133180 -1.280939 0.299060 0.993288 0.337889 -1.148002 -1.414365
## [218] -1.003935 -1.224140 -1.149079 -1.150670 -0.830280 -0.969841 -1.310551
## [225] -1.224140 -1.356337 -0.814952 -1.035480 -1.160558 -1.179056 -1.163358
## [232] -1.414069 0.008852 -1.331570 -1.182807 -1.150944 -0.970108 -1.091582
## [239] -1.086221 -0.729253 -1.148046 -1.386386 -0.477832 -0.292845 -1.030107
## [246] 1.178806 0.721700 0.672380 1.545623 -0.478513 -1.487955 -1.100635
## [253] -1.124110 -0.995059 -1.401102 -0.611939 -0.988631 -0.962327 -0.878632
## [260] -1.326699 -1.206349 -1.246825 -1.048210 -0.999707 -0.784384 -0.199603
## [267] -1.263406 -1.231494 -1.183110 -1.217364 -0.720990 -1.263406 -0.540648
## [274] -1.154581 -1.193033 -1.387242 -0.761801 0.371044 0.410295 -1.250293
## [281] 0.140350 -0.006088 -0.441721 -0.903324 1.688939 -0.821761 -1.328978
## [288] 0.082998 -1.318090 -1.219411 -1.016311 -1.412059 -0.259722 -0.938851
## [295] -0.978618 -1.008457 -1.364103 -1.143624 -1.059253 -1.257695 -1.037994
## [302] -0.812626 -1.499333 -1.329639 -1.211204 -1.003726 -1.310274 -0.899097
## [309] -1.270092 -1.283575 -0.587596 0.832831 0.055161 0.874740 -0.664733
## [316] 0.684372 0.918067 -0.146889 1.128671 -1.070865 -1.177914 -1.205583
## [323] -1.106579 -1.257849 -1.104636 -0.901495 -0.926297 -1.081362 -1.152231
## [330] -0.999678 -0.975031 -0.817777 -1.131945 -1.173150 -0.882737 -1.232372
## [337] -0.965288 -1.297101 -1.196449 -1.040451 -1.234044 0.081634 -0.730928
## [344] -1.051784 -1.445080
##
## $hiv.svm$predictions[[7]]
## [1] 0.021497 0.159651 0.450579 -0.916972 -0.083875 0.346193 -1.257849
## [8] -0.817128 -1.176023 -1.265813 0.183228 -1.265813 -1.344977 -1.204711
## [15] -1.087831 -1.224540 -1.263665 -1.063607 -1.038112 -1.262018 -1.001775
## [22] -1.232976 -1.206763 -1.206763 -1.278229 -0.990808 -1.098941 -0.923890
## [29] -0.986530 -1.033747 -1.203570 -1.291341 -1.446038 -0.591926 -1.234866
## [36] 0.952552 -0.889057 -0.951627 -0.707398 0.689093 -0.463882 -0.170229
## [43] -1.318248 -1.069994 0.214763 -1.000107 -0.870051 -1.056571 -0.702467
## [50] -0.999929 -1.127704 -0.976170 -1.022109 -1.228710 -1.403374 -0.895135
## [57] -1.305326 -1.213317 -0.478743 -1.272125 -1.340874 -1.102881 -0.796029
## [64] -1.402858 -1.270160 -1.047216 -1.043309 -1.205307 -1.376994 -0.682205
## [71] 1.460040 1.625616 1.443114 -1.240802 1.896966 0.264369 0.240680
## [78] -1.119121 -1.349509 -1.079396 -1.186015 -1.486691 -1.280223 -0.922457
## [85] -1.025698 -0.914756 -1.147854 -1.279101 -1.105569 -1.238476 0.136741
## [92] -1.202296 -1.038135 -1.265062 -0.928423 -1.247147 -0.909305 -1.280223
## [99] -0.979988 -0.739899 -1.354519 -0.809337 -1.191654 -1.102469 0.070529
## [106] 1.000205 0.282274 0.612304 0.143154 -1.010415 0.282853 -1.505236
## [113] -1.364658 -1.005237 -1.151559 -1.335241 -1.144305 -1.297435 -1.364587
## [120] -0.888646 -1.093758 -1.408328 -1.164673 -1.005844 -0.364829 -1.052806
## [127] -0.469751 -0.480876 -0.960844 -1.299141 -0.988001 -0.757891 -1.258920
## [134] -1.194186 -0.909273 -0.694548 -0.915802 -1.178690 0.451470 0.136851
## [141] -0.908984 0.809002 -1.055034 -0.248213 0.996781 0.325659 -1.215407
## [148] -1.258286 -1.075475 -1.177088 -1.253821 -0.583183 -1.061274 -1.050899
## [155] -1.078455 -1.435255 -0.999600 -0.963127 -0.747196 -1.012582 -1.301668
## [162] -0.131736 -1.157732 -1.109634 -1.225969 -1.026983 -1.077542 -1.262807
## [169] -0.771621 -0.907762 -1.312480 -1.478793 -1.298768 0.965680 -1.333032
## [176] 0.656167 0.748450 -0.256233 0.942710 0.348130 -0.461858 -1.151939
## [183] -1.414349 -1.043972 -1.321407 -1.253734 -1.190120 -0.956074 -0.110830
## [190] -0.710175 -1.090481 -0.999666 -0.893914 -1.179537 -1.145908 -1.027200
## [197] -1.503143 -1.011457 -0.960977 -1.059747 -1.186799 -1.376919 0.301998
## [204] -0.899140 -1.503143 -1.148818 -1.089591 -1.182684 0.694676 -0.061911
## [211] 0.873311 -0.343826 1.340331 0.239658 -1.379260 1.254508 -0.791127
## [218] -0.995295 -0.990768 -0.720430 -1.495153 -1.318335 -0.922139 -1.392649
## [225] -1.208722 -1.241586 -1.256083 -1.120778 -1.241690 -1.263350 -1.363183
## [232] -1.243621 -0.002276 -1.334321 -1.360890 -1.205787 -1.169377 -1.228339
## [239] -1.308350 -0.810879 -1.289003 -1.111792 -0.272614 -0.000677 -0.114652
## [246] 0.987276 -0.017920 -1.002351 1.569802 -0.947571 -1.294587 -0.919483
## [253] -1.104560 -1.020725 -1.059542 -1.446126 -1.448254 -0.969727 -1.442390
## [260] -1.116318 -1.255613 -1.475549 0.266128 -0.919669 -1.327310 -1.089565
## [267] -0.342697 -0.054165 -1.324642 -1.336127 -0.611186 -1.241660 -1.289986
## [274] -1.013917 -0.996987 -0.649038 -0.951548 0.279980 -0.721149 0.722707
## [281] 1.075879 0.070876 1.000302 0.570768 -1.017162 -0.958645 -1.271986
## [288] -1.190857 -0.921367 -1.208277 -0.844132 -0.488378 -1.065756 -1.148010
## [295] -1.371984 -1.517637 -1.171931 -1.311076 -1.106490 -0.866964 -1.356765
## [302] -1.350459 -1.492716 -1.167600 -0.794632 -0.373611 -1.030687 -1.201781
## [309] -0.987035 -1.366125 -0.661074 0.037299 0.363057 0.591623 -0.658283
## [316] 0.728868 -0.981873 -0.235039 -0.082661 -1.071908 -1.255550 -1.114702
## [323] -1.149424 -1.308985 -1.063210 -1.030743 -1.286201 -0.750803 -1.029552
## [330] -1.381042 -1.233146 -1.183276 -0.734458 -1.113777 -1.036430 -1.369731
## [337] -1.030960 -1.291212 -0.999679 -1.294781 -0.860295 0.162200 -1.291243
## [344] -0.959832 -0.961271
##
## $hiv.svm$predictions[[8]]
## [1] -0.874507 -0.108564 -0.876403 -0.996053 -1.210852 -0.102153 -0.336110
## [8] -0.938223 -0.954403 -1.262041 -0.973626 -1.243395 -0.977234 -1.238601
## [15] -1.201252 -0.674898 -1.108795 -1.135236 -1.384510 -1.151104 -0.874124
## [22] -0.500591 -1.105389 -0.782458 -1.243395 -0.996264 -1.131091 -1.152895
## [29] -0.783539 -1.052366 -0.922276 -1.526807 -0.771194 -1.136333 -1.566333
## [36] 0.068428 -0.808336 -1.216464 0.722159 -1.268794 -0.287768 0.924273
## [43] -1.113775 -1.373823 -1.071312 -1.283352 -1.425500 -1.051523 -0.996326
## [50] -1.359625 -1.265692 -1.257706 -1.203590 -1.257706 -0.921214 -0.941695
## [57] -1.120457 -0.885056 -1.256494 -1.313599 -1.373584 -0.898382 -1.420798
## [64] -1.313343 -0.789694 -1.093152 -0.982478 -1.379928 -1.304681 0.354408
## [71] -1.416518 -1.090751 0.733033 1.401520 0.187016 0.679029 -0.720682
## [78] -1.367070 -1.140551 -1.075038 -1.163235 -1.332176 -1.036132 -0.827641
## [85] -1.120676 -1.514545 -1.192670 -1.283961 -0.702251 -1.249048 -0.780903
## [92] -1.159651 -1.210070 -1.426668 -1.019970 -1.220163 -1.122402 -1.078895
## [99] -1.292310 -1.363106 -1.157032 -1.169686 -1.197555 0.364875 -0.758911
## [106] 0.602277 -0.261327 0.587187 1.529660 -0.957018 1.353912 -1.204712
## [113] -0.897304 -0.998416 -1.205359 -1.392538 -1.017826 -0.785549 -0.927261
## [120] -0.812349 -0.964993 -1.076613 -1.344894 -1.182637 -0.896799 -1.392538
## [127] -0.176277 -0.575001 -1.526951 -1.306448 -1.181080 -0.870884 0.363728
## [134] -1.276688 -0.696275 -1.260616 -0.759988 0.971090 -0.093398 0.633400
## [141] 1.469112 0.560696 -0.381824 0.133376 0.055024 -1.029572 -1.129527
## [148] -0.030617 -1.149973 -1.585556 -1.342349 -1.472976 -1.407349 -1.217306
## [155] -1.005521 -1.088891 -1.558935 -1.175830 -1.128632 -1.008300 -1.305725
## [162] -1.241442 -1.022385 -1.135597 -1.020779 -0.806344 -1.303894 -0.851079
## [169] -1.025969 -1.385255 -1.174148 -1.240447 -0.538434 -0.108416 0.246605
## [176] 0.519076 0.728199 0.139388 -0.177285 -1.239764 -1.360730 -1.127028
## [183] -1.222739 -1.246429 -1.202427 -1.141251 -0.976807 -1.123073 -1.191545
## [190] -1.111822 -1.195982 -1.042528 -0.079815 -1.354814 -1.193805 -0.234371
## [197] -1.006459 -1.366169 -1.063705 -1.074162 -0.371597 -1.303460 -1.200954
## [204] -0.952550 -1.444840 -1.102697 -0.126548 0.188526 1.606892 1.147221
## [211] -0.449033 0.433444 1.547174 1.182012 -1.507041 -1.432050 0.295543
## [218] -0.901648 -1.166020 -1.387171 -0.874025 -1.331740 -0.711811 -1.231256
## [225] -1.174776 -0.988282 -1.089991 -1.282028 -0.795408 -1.172812 -1.211255
## [232] 0.220650 -1.162238 -1.039879 -1.235047 -1.174776 -1.330693 -0.879916
## [239] -1.268401 -1.594011 -0.578609 0.721074 1.489624 1.143464 0.024749
## [246] -0.186835 1.143464 -1.346474 -0.910769 -0.819649 -1.336982 -1.292789
## [253] -1.038751 -1.206430 -0.488195 -1.100049 -1.403585 -0.926611 -0.988767
## [260] -1.340338 -0.880007 0.234658 -1.191485 -1.554226 -0.875364 -0.587379
## [267] -1.007617 -1.421493 -1.177387 -1.313815 -1.250406 -0.778391 -1.027728
## [274] -1.043474 -0.500001 -0.158203 0.621703 0.930422 -0.726864 0.088338
## [281] -0.993850 0.297931 0.137700 -1.143750 -0.925777 -1.140118 -1.327609
## [288] -1.261141 -1.092876 -1.407006 -1.058190 -0.717314 -1.079745 -1.454587
## [295] -1.250856 -0.735775 -1.381474 -1.167349 -1.162451 -0.487777 -1.108083
## [302] -1.331366 -1.167193 -0.716442 -1.204721 0.134719 -0.704714 -1.218522
## [309] -1.190783 -1.105150 -1.070583 0.068444 0.755825 0.679038 -0.342451
## [316] -0.234270 -0.711230 0.048685 -1.110558 -1.218595 -1.114834 -0.894937
## [323] -1.001790 -0.858243 -1.018323 -0.303578 -0.912148 -1.039877 -1.213271
## [330] -1.192590 -1.340289 -1.242225 -1.069849 -0.918863 -1.380616 -1.387111
## [337] -1.502322 -0.770772 -1.111747 -0.887711 -1.077254 -1.275884 -0.903822
## [344] -0.601368 -1.038537
##
## $hiv.svm$predictions[[9]]
## [1] -0.695771 0.006252 -0.826386 0.089888 0.071232 0.452887 0.935351
## [8] -0.866165 -1.248587 -1.094291 0.183438 -1.177389 -1.125585 -0.997384
## [15] -0.671313 -1.205254 -0.966510 -1.233077 -1.299087 -1.132637 -1.151880
## [22] -1.085372 -0.795468 -1.267186 -1.254948 -1.036719 -1.270041 -1.111533
## [29] -1.344588 -1.254948 -1.244888 -0.766004 -1.273165 -0.871607 -1.445495
## [36] -0.437699 1.476733 -1.067551 0.939379 -0.130620 -1.095385 -0.165767
## [43] -1.482241 -1.314997 -1.196901 -0.754990 -0.997112 -1.120509 -1.023787
## [50] -0.695841 -0.957488 -1.129885 -1.245514 -1.197810 -1.157033 -1.145834
## [57] -1.372304 -0.191573 -1.494780 -1.227289 -1.352589 -1.051906 -0.869244
## [64] -1.291848 0.242020 -1.030980 -1.314997 -1.487477 -0.092015 -0.196572
## [71] 1.028141 -0.346662 0.405937 1.700011 0.147980 -0.898626 -1.000066
## [78] -1.364721 -0.893134 -0.948970 -1.318299 -1.227635 -1.358221 -1.316081
## [85] -1.193368 -0.910175 -1.127657 -1.027058 0.216908 -0.974902 -1.096654
## [92] -1.035969 -1.226394 -1.025335 -1.107499 -1.222360 -0.801198 -1.297797
## [99] -0.715492 -1.060951 -1.114208 -1.117002 -1.177473 -1.154651 0.043840
## [106] -1.326885 0.548404 0.641318 -0.288021 0.126177 0.290331 -1.095921
## [113] -1.078402 0.058809 -1.276196 -1.231008 -0.667326 -0.919127 -1.201425
## [120] -0.969207 -0.981292 -1.180456 -1.174895 -1.049965 -1.368121 -1.113238
## [127] -1.085675 -0.014176 -1.294646 -1.258839 -1.135502 -0.951375 -1.114114
## [134] -1.242950 -1.278792 -1.170649 -1.127186 -1.025722 0.661067 0.593149
## [141] 0.653016 1.038503 -1.243108 -0.167123 -0.130091 -0.372116 -1.076133
## [148] -0.897508 -1.185411 -0.961722 -1.441673 -1.180665 -1.304565 -1.264074
## [155] -0.764092 -0.800484 -1.096021 -1.496866 -0.786669 -0.331156 -1.068683
## [162] -0.809458 -0.486292 -0.844414 -1.324443 -0.923325 -1.320145 -1.225321
## [169] -0.907840 -1.254453 -0.996920 -1.016863 -0.982867 0.729632 -1.414687
## [176] 1.643429 0.880032 -1.090399 -0.993356 -1.449558 0.030324 -0.853789
## [183] -1.358973 -1.080927 -1.266961 -1.280990 -1.300261 -1.449337 -1.244976
## [190] -0.789946 -1.119298 -1.034538 -0.754839 -1.476695 -0.886249 -1.189297
## [197] -1.247682 -0.380205 -1.264353 -1.186805 -1.085525 -0.628534 0.192775
## [204] -1.071348 -1.326503 -1.105845 -1.064436 0.402131 0.235538 0.176570
## [211] -0.939528 0.683322 0.139396 -1.149119 -1.202879 -1.253652 -0.903432
## [218] -1.213295 -1.474585 -1.165109 -1.078240 -1.012169 -1.014477 -1.096278
## [225] -1.298229 -1.253652 -0.968029 -1.015323 -1.372995 -0.411291 -1.214335
## [232] -1.133664 -1.540245 -0.983923 -1.177193 -0.923658 -1.307253 -1.162605
## [239] -1.413125 -0.549131 0.411454 0.126755 0.824414 1.279249 -0.145022
## [246] -0.263869 -1.271724 0.174969 -1.264326 -0.982138 -1.014567 -1.264326
## [253] -1.199464 -1.027008 -0.922848 -0.956236 -0.659866 -1.170951 -1.410071
## [260] -1.507618 -1.222915 -0.870717 -1.436229 -0.934006 -0.281349 -0.987819
## [267] -0.898433 -1.000245 -1.008685 -0.982910 -1.174546 -1.212472 -0.742955
## [274] -0.573985 -0.515621 0.075321 -0.779726 0.637836 -0.854975 -0.951456
## [281] 1.056502 -0.096848 0.804165 -1.208689 -1.080780 -1.075072 -1.133927
## [288] -1.002609 -1.312282 -1.173667 -0.994206 -1.152572 -1.333882 -1.355119
## [295] -1.299070 -0.951733 -0.028984 -1.136202 -0.997825 -1.366518 -0.068095
## [302] -1.197849 -1.301093 -0.990041 -1.228410 -1.125232 -0.753291 -1.053192
## [309] -1.395322 -1.312282 0.850291 -0.709019 0.729985 -0.611934 1.314376
## [316] 0.388703 1.402153 1.008600 -1.175957 -1.264422 -1.061373 -1.260504
## [323] -1.335682 -1.154387 -0.967715 -0.262065 -1.354164 -0.918524 -1.036437
## [330] -1.192149 -1.184824 -1.255378 -1.149590 -1.129822 -1.012603 -1.011919
## [337] -1.291664 -0.892098 -1.326116 -0.504850 -0.929941 -0.793099 -1.010446
## [344] -1.006358 -1.156840
##
## $hiv.svm$predictions[[10]]
## [1] 0.007669 -0.066836 -1.080250 -0.762547 -1.305984 0.595267 0.622469
## [8] -0.118928 -1.232565 -1.350477 -0.928766 -1.355681 -1.454215 -1.021502
## [15] -0.952082 -0.680055 -1.180194 -1.226672 -1.271688 -0.947332 -0.750535
## [22] -1.154420 -1.229940 -1.229090 -0.420509 -1.646116 -1.182640 -0.980718
## [29] -1.120882 -0.957307 -0.820830 -0.694297 -1.142522 -1.594560 -1.371955
## [36] -0.628044 -0.093661 -1.063389 0.986854 1.287681 0.220642 1.416205
## [43] 0.375913 -0.823637 -1.172664 -0.908265 -1.138488 -1.432894 -1.068757
## [50] -1.324137 -1.406914 -1.424533 -0.956015 -1.042558 -1.226320 0.243913
## [57] -0.396375 -1.146134 -1.284814 -1.226320 -1.055997 -1.117645 -1.112356
## [64] -0.746019 0.288273 -0.807086 -0.927954 -1.095252 -1.164826 -1.330783
## [71] 0.295573 -0.169116 -0.846947 0.517852 0.050099 -0.431431 -0.333645
## [78] -1.346534 -0.976382 -1.144632 -0.959499 -1.213311 -1.141264 -0.738503
## [85] -1.062158 -1.131443 -0.962319 -1.261740 -1.065195 -1.394580 -1.009374
## [92] -1.347829 -1.193483 -1.147314 -1.283398 -1.168301 -1.123071 -1.101913
## [99] -1.274598 -1.272381 -1.242393 -1.287250 -1.080793 0.900079 -1.025073
## [106] 0.604115 0.843353 -0.292457 -0.338610 -1.246566 0.382030 -1.041505
## [113] -1.064845 -0.963036 -1.237888 -1.010396 -1.104520 -0.972039 -1.278370
## [120] -1.084036 -1.102954 -1.061057 -0.774384 -1.257970 -1.171447 -1.051612
## [127] -1.247936 -1.333269 -0.986923 -1.333241 -1.248100 -1.334091 -1.272032
## [134] 0.269295 -0.806348 -0.891627 -1.080559 0.504180 0.018308 1.000108
## [141] -0.364229 -0.879795 -0.160795 -0.995655 -0.328554 -1.177046 -1.418778
## [148] 0.114841 -0.889286 -1.137234 -1.209172 -1.442682 -1.244346 -0.941385
## [155] -1.170687 -1.182648 -1.244470 -1.186654 -0.691116 -1.403598 -1.488875
## [162] -0.495946 -0.007520 -1.234016 -1.168611 -0.637160 -1.265538 -1.332655
## [169] -1.227868 -1.273529 -1.415181 -0.930964 -1.206105 -1.441057 0.776211
## [176] 0.159164 0.540531 0.090677 -0.176464 -0.868560 -1.209277 -1.299361
## [183] -1.003126 -1.299361 -1.317553 -1.357420 -0.832963 -1.043454 -0.859562
## [190] -1.110447 -1.320002 -1.208080 -1.212169 -0.752266 -1.058161 -0.782277
## [197] -0.556473 -1.045331 -1.617269 -1.056875 -1.357420 -1.247352 -1.242638
## [204] -1.299361 -1.220819 -1.183048 -1.177438 0.902050 0.127714 0.174021
## [211] -0.923220 -0.101296 0.438076 0.190726 1.043952 -1.022931 -1.107024
## [218] -1.257506 -1.171753 -1.476758 -0.544232 -0.977593 -0.997533 -0.720249
## [225] -1.128771 -1.350692 -1.166187 -1.328063 -1.320307 -1.124964 -0.997107
## [232] 0.088941 -1.110574 -1.309319 -0.847186 -1.396107 -1.047092 -0.586657
## [239] -1.339043 -0.737808 -1.112389 0.367877 -0.688384 0.920020 1.291815
## [246] 0.624569 0.999891 0.654032 -1.272315 -1.232957 0.156762 -1.189988
## [253] -1.298151 -1.130161 -1.099173 -1.233267 -0.697233 -1.164536 -1.396041
## [260] -1.460557 -1.070483 -1.105117 -0.825578 -0.482835 -1.326775 -1.251166
## [267] -0.900967 -0.862017 -0.879541 -0.329013 -1.348724 -1.156255 -1.069679
## [274] -1.000209 -0.437964 -0.435881 1.270428 0.525570 -0.623322 0.758229
## [281] 1.553543 -1.267889 -0.838987 -1.291992 -0.980152 -1.127511 -1.110801
## [288] -0.951679 -1.133134 -1.250045 -0.110086 -0.948131 -0.960994 -1.293568
## [295] -1.398989 -1.013266 0.109592 -1.130190 -0.999548 -1.297341 -1.032230
## [302] -1.351626 -1.241810 -0.908364 -0.900969 -0.908194 -1.017094 -1.311430
## [309] -0.643186 -0.991572 -0.150830 0.403620 1.564346 0.804583 -1.162744
## [316] -0.997836 1.042037 0.265376 -1.065263 -1.441588 -1.144619 -1.278235
## [323] -1.273118 -1.265338 -1.054169 -1.008654 -1.252299 -1.035307 -1.079903
## [330] -1.251915 -1.060393 -1.392625 -1.328240 -0.233640 -1.054756 -1.107684
## [337] -1.137802 -0.940787 -0.818680 -1.289492 -1.118020 -1.110910 -1.114624
## [344] -0.512504 -1.160292
##
##
## $hiv.svm$labels
## $hiv.svm$labels[[1]]
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##
## $hiv.svm$labels[[2]]
## [1] 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
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##
## $hiv.svm$labels[[3]]
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##
## $hiv.svm$labels[[4]]
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## $hiv.svm$labels[[5]]
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##
## $hiv.svm$labels[[6]]
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## $hiv.svm$labels[[7]]
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## $hiv.svm$labels[[8]]
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##
## $hiv.svm$labels[[9]]
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## $hiv.svm$labels[[10]]
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##
##
##
## $hiv.nn
## $hiv.nn$predictions
## $hiv.nn$predictions[[1]]
## [1] -0.27647800 -0.16120810 0.63911350 -0.62680980 0.60286460
## [6] 0.89958700 0.87810870 -0.88480530 -0.91245050 -0.41678220
## [11] -0.88480530 -0.56460890 -0.49827420 -0.85777040 -0.82935960
## [16] -0.88480530 -0.81992270 -0.86380880 -0.26817440 -0.87353410
## [21] -0.92821750 -0.86280860 -0.60366050 0.87162570 -0.35991110
## [26] -0.70512390 -0.97184750 -0.93510730 -0.88480530 -0.85795240
## [31] -0.95496660 -0.68607410 -0.92071600 0.56883270 0.76342990
## [36] -0.56376950 0.92316160 -0.82039010 -0.68656860 -0.80465770
## [41] -1.03154920 -1.00482070 -0.93145040 0.67326320 -0.99482550
## [46] -1.06156750 -0.93683260 -0.97378140 -0.78340290 -0.56332920
## [51] -0.97720340 -0.60041430 -0.34024030 -0.99389990 -0.77769010
## [56] -0.54864380 -1.05564740 -0.15287710 -1.01564380 -0.62980030
## [61] -0.90073980 -0.93683260 0.31916130 0.38133160 -0.70518990
## [66] -0.79376210 -0.89750750 -0.70210800 -0.15708187 -0.91147952
## [71] 0.74337281 0.85315034 -0.79640337 -0.51282305 0.02461465
## [76] 0.04241646 -0.69932771 -0.93560349 -0.95067895 -0.58368603
## [81] -0.92039782 -0.93547798 -0.58487752 -0.27271626 -0.52174174
## [86] -0.54362130 -0.89884989 -0.94271502 -0.93503185 -0.68209318
## [91] -0.75401127 -0.67016489 -0.86910472 -0.82608551 -0.96008348
## [96] -0.86337953 -0.18783736 -0.14324656 -0.88377084 -0.77203813
## [101] -1.11241340 -0.25135005 -0.72974082 -0.14076935 -0.12843495
## [106] 0.77222719 -0.44089882 0.42798626 -0.96711033 -0.55570603
## [111] 0.84439418 -1.00091121 -0.47119845 -0.79286302 -0.60204122
## [116] -0.98569498 -0.81213076 -0.85701072 -0.81732167 -1.12679740
## [121] -0.48499688 -0.88917982 -1.01424371 -1.01853425 -0.01909460
## [126] -0.89822621 -0.87580832 -1.00091121 -0.67363854 -0.70473124
## [131] 0.75374347 -0.60077309 -0.38040525 -1.00892124 -0.80357372
## [136] -0.88828011 -0.87818127 -1.05025402 -0.60366864 0.31270387
## [141] 0.75665516 0.69404958 -0.04963323 -0.24834412 0.09684964
## [146] 0.51247912 -0.74067932 -0.60715858 -0.86859689 -0.66152976
## [151] -0.88274354 -0.87978485 -0.83385643 -0.61126470 -0.18450337
## [156] -0.67659436 -0.84496324 -0.80815587 -1.03992740 -0.59998623
## [161] -0.90082702 -0.88869658 -0.93261790 -0.77293290 -0.89839606
## [166] -0.76120233 -0.68410347 -0.72428413 -1.02183759 -1.03542059
## [171] -0.61763562 -0.94793832 -0.04247523 0.22280340 -0.16130380
## [176] 0.83960220 0.54498140 0.87218570 -0.54444160 0.39601520
## [181] -0.65863570 -0.52841850 -0.97328670 0.15863590 -0.69258180
## [186] -0.83114730 -0.66063900 -0.74942650 -0.77705670 -0.70148430
## [191] -0.95626040 -0.92943780 -0.40767630 -0.83148270 -0.91822220
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## [206] -0.97328670 -0.70293310 -0.63746560 -0.36033919 0.80435891
## [211] 0.23807299 0.29311672 0.05979919 -0.46346998 0.87586194
## [216] -1.03389714 -0.38578881 -0.95282808 -0.60790708 -1.08867879
## [221] -0.90081452 0.17641871 -0.37643008 -0.95030577 -0.97531710
## [226] -1.01833574 -0.90235553 -0.85208279 -0.62698138 -0.61990739
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## [256] -0.49150599 -0.76778824 -0.76559126 -0.35861171 -0.78959976
## [261] -0.94927317 0.13866034 -0.69189107 -0.89170652 -0.94632148
## [266] -0.15585607 0.19023349 -0.87117445 -0.95812774 -0.31404580
## [271] -0.98694462 -0.69903826 -0.74790201 -0.95013810 -0.78762955
## [276] -0.92982634 0.15468410 1.05322910 -1.01989630 -0.45666370
## [281] -0.57497730 0.97648050 -0.73814170 0.78165450 -0.96848610
## [286] -0.93743630 -0.47538540 -0.31876350 -0.15649240 -0.98995090
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## [301] -0.29672100 -0.99371900 -0.94742890 -0.87962870 -0.57704860
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## [316] 0.87651956 0.94112144 -0.18045953 0.29069515 -0.71951435
## [321] -0.92970497 -0.59308045 -0.85224519 -1.08601530 -0.72727994
## [326] -0.72365659 -1.02570490 -0.90200573 -0.86067786 -0.81289602
## [331] -1.06156881 -1.11236289 -0.79905471 -0.90200573 -0.47814933
## [336] -0.80941520 -1.05161242 -1.13148309 -1.15709502 -0.90707667
## [341] -0.83952394 -0.90619867 -0.69647986 -1.03151714 -0.23507130
##
## $hiv.nn$predictions[[2]]
## [1] 0.400554110 0.429192240 0.454239140 -0.683218330 -0.192454670
## [6] -0.287395760 -0.715908230 -0.131895410 -1.051222690 -0.981016560
## [11] -1.012725910 -0.334227500 -0.525589670 -0.663376370 -0.209205270
## [16] -0.723132790 -1.092723570 -0.964265950 -0.833150710 -0.016516010
## [21] -1.053133960 -0.748396060 -0.716579560 -0.434877520 -0.196161710
## [26] -0.813299610 -0.842078140 -0.599449790 -0.543239940 -0.985218200
## [31] -0.934747570 -1.030374030 -0.637814750 -0.941971220 -0.945809030
## [36] 0.324952440 0.188393140 0.902020000 0.849156410 0.200417110
## [41] 0.939747530 0.848787630 -0.999473230 -0.980521000 -0.013958980
## [46] -0.573399940 -0.824890440 -0.948525290 -0.933166180 -0.687004920
## [51] -0.694149580 -0.802337990 -0.831158140 -1.020363270 -1.051609010
## [56] -0.156013100 -0.926825530 -0.855793230 -0.546406180 -0.923487530
## [61] -0.710435100 -0.762899720 -0.947000440 -0.812113630 -0.943141430
## [66] -0.598465910 -0.874103110 -0.908073100 0.176969650 0.033788050
## [71] -0.495540110 -0.362293480 0.922421130 -0.588649490 0.489683000
## [76] -0.759789970 -0.606176280 -0.781836220 -0.958922700 -0.927131050
## [81] -0.342869720 -0.810046180 -0.859993550 -0.417786450 -0.733924820
## [86] -0.522365790 -0.904352500 -0.923101340 -0.925536540 -0.852054880
## [91] -0.590865010 -0.850297010 -0.837434010 -0.860760090 0.674602180
## [96] -0.330010850 -0.862157030 -0.853532330 -0.859993550 -0.797302670
## [101] -0.852054880 -0.670358990 -0.006091327 0.414856231 0.352986606
## [106] 0.683556849 -0.256806590 -0.674370816 -0.376605309 0.282497376
## [111] -1.031281732 -0.978700366 -0.857679316 -0.245757997 -0.952283289
## [116] -0.666513825 -0.712924861 -0.640785400 -0.925355885 -0.450164461
## [121] -0.885308706 -0.664328924 -0.960147888 -0.671699354 -1.001550324
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## [276] -0.873327200 0.301521170 0.042270430 0.326642720 -0.489551570
## [281] -0.547822750 -0.826219900 0.665623750 0.192869410 0.664993140
## [286] -0.443992240 -0.941521240 -0.977822120 -0.610003070 -1.065832530
## [291] -0.920513710 -0.941897680 -0.705953150 -0.982311780 -0.876727410
## [296] -0.953976380 -0.545482280 -1.108500330 -0.722104520 -0.398211420
## [301] -0.617323360 0.542588410 -0.926033400 -1.113644470 -1.116364000
## [306] -0.996779120 0.120426290 -0.885181140 -1.104190370 -1.021607660
## [311] -0.293465950 -0.564063200 -1.046026600 -0.896001900 0.626495800
## [316] -0.797358300 0.973651600 0.434928400 0.369186900 -0.910006500
## [321] -0.317448800 -0.767719700 -0.577055600 -1.054276400 -0.505845300
## [326] -0.806638500 -0.430760300 -0.503429900 -0.959982800 -1.017883300
## [331] -1.029081400 0.149567900 -0.902409000 -0.769359900 -0.872369800
## [336] -1.028867000 -1.044494400 -0.897535800 -0.589528000 -0.963744900
## [341] -0.963625700 -1.002141500 -0.736511800 -0.511539400 -0.935743800
##
## $hiv.nn$predictions[[3]]
## [1] 0.807782725 0.095179217 0.760834722 0.165625892 -0.810671209
## [6] -0.306844972 0.712185819 -0.820330905 -0.951736455 -0.798761469
## [11] -0.559157240 -0.891497893 -0.940278581 -0.750157677 -0.879230816
## [16] -0.747744231 -0.944683322 -0.913339141 -0.773605928 -1.044761854
## [21] -0.810671209 -0.808394329 -0.542508767 -0.930312429 -0.881398708
## [26] -1.123967253 -1.120012301 -0.009595776 -0.851015206 0.100319842
## [31] -1.016333347 -0.708515178 -0.324340617 -0.280203522 0.622516600
## [36] 0.424884600 0.715387700 0.895299600 -0.825182500 -0.677925300
## [41] -0.949933100 -0.596684400 -0.946968200 -0.695777500 -0.892461100
## [46] -1.022938800 -0.877803700 -0.945347400 -0.848146500 -0.209746700
## [51] -0.470848400 -0.821106000 -1.007389300 -1.197061600 -0.947073300
## [56] -0.883201400 -0.908147300 0.917485300 -0.848146500 -0.794843400
## [61] -0.696267600 -0.976388700 -0.132114700 -1.007773700 -0.740114600
## [66] -0.355121900 -0.947375200 -0.602054500 -0.200772370 0.964401650
## [71] 0.962634960 -0.262124940 0.344333350 -0.407604530 0.959768870
## [76] 0.869383320 -0.352340790 -0.259280080 -0.687385080 -1.048346460
## [81] -0.957314470 -0.906241570 -0.911983930 -0.211650330 -0.811903790
## [86] -0.906762700 -0.847467590 0.052904530 -0.617984080 -0.723084180
## [91] -0.957314470 -1.007827510 -0.308816460 -1.017506530 -1.016323600
## [96] -0.896249360 -0.474979070 -0.448473700 -0.740970870 -0.621628040
## [101] -1.013570730 -0.229498060 -0.161230100 -0.261911700 0.368883400
## [106] -0.394290000 0.281684600 -0.932054000 0.953319500 0.307671200
## [111] -0.896114400 -0.899894400 -0.843178300 -0.843893500 -0.393830300
## [116] -0.919036300 -0.667681000 -0.577597500 -0.912813200 -0.759800100
## [121] -0.872270700 -0.896114400 -0.914208800 -0.854605600 -0.909100100
## [126] -0.392753200 -0.838584800 -0.919290000 -0.911870000 -0.927514200
## [131] -0.739973700 -0.842754300 -0.832171300 -0.850240700 -0.725619200
## [136] -0.811855900 0.921957960 0.230370670 -0.901878750 -0.390332770
## [141] -0.185051590 1.026072990 -0.152008400 -0.662456190 -0.813637870
## [146] -0.784071730 -0.227141410 -0.949469980 -0.944766810 -0.572872400
## [151] 0.063745940 -0.787544290 -0.973041920 -0.809130280 -0.958609200
## [156] -0.944183050 -0.930334570 -0.077437330 -0.747188450 -0.128057480
## [161] -0.997657410 0.116192200 -0.658910620 -0.865451920 -0.714259270
## [166] -0.836331900 -0.809989220 -0.999420520 -0.873225480 -0.969367990
## [171] 0.385752600 0.607089100 -0.406913800 0.960370500 0.829401100
## [176] 0.987020200 0.100437100 -0.641557600 -1.008893200 -0.638681000
## [181] -0.972587300 -0.474832900 -1.040016200 -0.940645700 -0.182926000
## [186] -0.450270200 -0.974419400 -0.752901900 -0.886784700 -0.166226200
## [191] 0.187910700 -0.796285200 -1.047467100 -0.549386300 -0.522470400
## [196] -0.928991600 -1.005662100 -0.288356900 -0.671157700 -0.983774400
## [201] -1.027159400 -0.789524300 -1.070957700 -0.974517300 -0.937513200
## [206] -0.431130140 0.067012360 0.233221350 -0.700483430 -0.395474600
## [211] -0.835005450 -0.830904870 -0.076577230 -1.063234410 -1.013611600
## [216] -0.905595460 -0.263606900 -0.619966940 -0.532698510 -0.736346860
## [221] -0.344059550 -0.517585160 -0.945569290 -0.906191780 -0.811623890
## [226] -0.875842100 -0.832856170 -0.474629930 -0.832568970 0.052874380
## [231] -1.025302290 -0.311746630 -0.890007830 -0.981136700 -0.927078910
## [236] -0.993042400 -0.839847930 -0.970870620 -0.437258060 0.170767210
## [241] -0.120748020 -0.990346540 0.071965480 -0.752263600 -0.107903820
## [246] -0.776668360 -0.198226150 0.829984470 -0.943048630 -0.933573410
## [251] -1.058590750 -0.610069480 -0.914695240 -0.872215100 -0.888995730
## [256] -0.774862790 -1.070578350 -0.853707140 -0.975248250 -1.039656430
## [261] -0.923850420 -0.841013440 -0.804067150 -0.738538740 -1.096990570
## [266] -0.914653560 -0.736523820 -1.010759610 -0.977047920 0.305997800
## [271] -0.980048540 -0.744558570 -0.934683370 -0.128067770 -0.636476540
## [276] -0.691367960 0.559558430 -0.242810620 0.459795810 1.029532090
## [281] 1.023876030 0.635136550 0.497545530 -0.959343050 -0.552662910
## [286] 0.369161950 -0.509594010 -0.994863540 -0.633071330 -0.822795430
## [291] -0.582202690 -0.523825400 -0.927881130 -0.480943250 -0.208059690
## [296] -1.001324290 0.099937570 -0.932290720 -0.358399490 0.125314500
## [301] -0.740135640 -0.932290720 -0.888853600 -0.932290720 -0.590524430
## [306] -0.291021400 -0.903227730 -0.864748130 -0.911755220 -0.543058230
## [311] -0.104872600 -0.281691900 0.693094000 0.646892800 0.852229700
## [316] -0.599363700 -0.495328500 -0.730541100 -0.911708700 -0.577412000
## [321] 0.118325200 -0.416553500 -0.941382700 -0.755107100 -0.804545100
## [326] -0.992558400 -0.950100100 -0.751482800 -0.939278400 -0.925063500
## [331] -0.943780600 -0.941382700 -0.882163500 -0.918261300 -0.911708700
## [336] -0.787715700 -0.903010600 -1.013384500 -0.450107700 -0.772588000
## [341] -0.911708700 -0.904378000 -0.815375800 -0.633837800 -0.768019100
##
## $hiv.nn$predictions[[4]]
## [1] -0.51607170 0.60804780 0.73470040 0.73790140 -0.13032210
## [6] -0.61322870 0.54457140 -0.76843320 -1.12799860 -0.94078280
## [11] -0.75819310 -0.92303270 -0.45220570 -0.69907010 -0.94614160
## [16] -0.75366710 -1.11976100 -0.96218950 -0.91709650 -1.02804480
## [21] -0.84416910 -0.18002160 -0.34094210 -0.10232360 -0.26905280
## [26] -0.79423580 -1.09155730 -1.10297950 -0.99894510 0.34672780
## [31] -0.97388130 -0.76999000 -0.88095980 -0.47910340 0.48048450
## [36] 0.23718190 -0.96994330 -0.73457960 -0.51764570 -0.83870940
## [41] 0.87465620 0.89633110 -0.53369580 -0.98371720 -1.07653230
## [46] 0.37139720 -0.51426840 -0.89356370 -0.96830280 0.27288920
## [51] -0.44973630 -0.95680220 -0.98620920 -0.88307080 -0.92363230
## [56] -0.91975660 -0.79524640 -1.00859480 -0.83556990 -0.81100250
## [61] -0.82468830 -0.95676890 -1.09665090 -0.56827120 -0.66695850
## [66] -1.07408400 -0.92041800 -1.04495190 -0.95509600 -0.76637760
## [71] 0.69207374 0.09133519 -0.62121873 0.86550011 0.79248987
## [76] 0.85816450 0.06284779 -1.04664403 -0.76377397 -0.95610389
## [81] -0.89548664 -0.65830182 -0.54903052 -1.01209575 -0.63369058
## [86] -0.74656676 -1.10500889 -0.85747142 -0.84745493 -0.28860896
## [91] -0.72807880 -0.02407173 -1.01209575 -0.94529510 -1.12325831
## [96] -0.72913894 -0.77525480 -0.92090101 -0.54737284 -0.34690471
## [101] -0.68632757 -0.64643683 -0.56751315 -0.95613191 -0.71198175
## [106] 0.16953000 -0.15079940 -0.92035270 -0.40290930 0.92452760
## [111] -0.26627880 -0.90378390 0.85618320 -0.95604250 -0.92818410
## [116] -0.87408070 -1.01088980 -0.94105530 -1.02941360 -0.91615240
## [121] -0.47039950 -1.00540070 -0.79476290 -0.95902470 -0.95604250
## [126] -1.00540070 -0.82641970 -0.94477220 -0.39218470 -1.04153150
## [131] -0.79253050 -1.00777640 -0.52820310 -1.00542140 -0.95604250
## [136] -0.37925380 -0.29797690 -0.95566250 -0.99978260 -0.10106490
## [141] 0.46078777 0.55295889 1.00050577 0.58454840 -0.38686298
## [146] -0.99811296 -0.24617634 0.45638352 -0.30704252 -0.33497347
## [151] -1.01684424 -0.39334141 -0.90245938 -0.90303491 -0.23265349
## [156] -0.74074040 -0.55651537 -0.83586216 -0.96950133 -0.92424987
## [161] 0.20802563 -0.74844515 -0.96482903 -0.98010531 0.08513139
## [166] -0.85911866 -0.74844515 -0.16509012 -0.73515727 -1.01773384
## [171] -0.95166900 -1.03397512 -1.03615414 -0.98146588 0.04730881
## [176] 0.09857364 0.36084497 -0.18830795 0.09818355 0.97233370
## [181] 0.95210311 0.69819749 -0.62779772 -0.94640800 -0.61265547
## [186] -0.69248790 -0.98137581 -0.69804681 -0.92036446 -0.53681537
## [191] -0.31567169 -1.00373168 -0.92722909 0.06877195 -0.76865584
## [196] -0.98137581 -0.98137581 -0.62375082 -0.74413020 -0.99829085
## [201] -0.96460027 -0.81423093 -0.72158436 -0.85474421 -0.76120407
## [206] -0.83669900 -0.86978538 -0.40230817 -0.25694432 0.56390260
## [211] -0.21100470 -0.17580130 0.93290250 -0.81420760 -0.47305980
## [216] -0.16320070 0.42821940 -0.85990060 -0.77928180 -0.65806670
## [221] -0.54871060 -0.95470400 -0.83213560 -0.83907960 -0.92897600
## [226] -0.96081510 -0.35492760 -0.95303570 -0.99819530 -0.90930890
## [231] -0.95470400 -0.83517930 -0.73107430 -0.93212270 -0.89044600
## [236] -0.78641530 -0.71085120 -0.97074620 -0.65203940 -0.83287840
## [241] -0.70892670 -0.78033430 -0.84656450 -0.16555200 0.50076330
## [246] 0.48504230 0.68835430 0.31344880 -0.23613170 -0.79782950
## [251] -0.96597980 -0.58546630 0.19988740 -1.05689080 -0.85808770
## [256] -0.70668050 -0.93905510 -0.78064310 -0.18093170 -0.89184060
## [261] -0.87188670 -0.93370900 -1.04630850 -0.71711410 -0.92572080
## [266] -0.88663250 -0.79843960 -0.96276500 -0.83822180 -0.85808770
## [271] -0.97051830 -0.87518810 -1.23346460 -0.93491330 -0.70866140
## [276] -0.72146900 -0.84751490 -0.65392610 0.12593100 0.91234860
## [281] 0.75666710 0.89825100 -0.86035340 0.62311730 -0.10127530
## [286] -1.01130130 -0.44085890 -0.17581160 -0.99776950 -1.03284490
## [291] -0.87496200 -0.68996500 -0.54743750 -0.42851010 -0.66568460
## [296] -0.82666530 -0.21189280 -0.96757950 -0.84891080 -0.67217640
## [301] -0.33600810 -0.39775810 0.30002660 -0.92631360 -0.89478030
## [306] -0.38969940 -0.67740630 -0.81567000 -0.60062820 -0.53082820
## [311] -0.91686360 -0.92631360 0.01091351 0.96062529 0.50666513
## [316] -0.29042413 -0.19033890 -0.28363645 -0.33704079 -0.96507986
## [321] -0.77617632 -0.92568849 -0.61780429 -1.01278664 -0.36444407
## [326] -0.71501667 -0.83602732 -0.71860441 -0.53677540 -0.95263810
## [331] -0.74118048 -1.00216200 -0.58616755 -0.63212850 -0.98065971
## [336] 0.53508520 -0.97654457 -0.55965947 -0.98042547 -0.21982151
## [341] -0.83602732 0.19675115 -0.93229232 -0.85877522 -0.28898090
##
## $hiv.nn$predictions[[5]]
## [1] 0.356903095 0.125197632 -1.040387686 0.952108337 -0.153433456
## [6] -0.985997623 -0.593719037 -0.634112477 -0.973469235 -0.900201763
## [11] -0.780514162 -0.602715056 -0.992317556 -0.817024962 -0.890232208
## [16] -0.796953558 -0.971693308 -0.627403700 -0.922683185 -1.065259144
## [21] -0.009428179 -0.769007824 -0.711535598 -0.433340066 -0.704673024
## [26] 0.326333855 -0.661548145 -0.963420255 -0.785667883 -0.784281087
## [31] -0.978750779 -0.655303961 -0.978545512 -0.862328340 -0.794422029
## [36] 0.217029700 -0.033107330 0.444096460 -0.533571390 0.825375580
## [41] 0.925617000 0.554600370 -0.301673970 -0.561810130 -0.679690250
## [46] -0.834677340 -0.972101230 -0.397122860 -0.879742890 -0.887659470
## [51] -0.655374960 -0.357191230 -0.683363990 -0.931424360 -0.612492050
## [56] -1.009978570 -0.935331180 -0.959616750 -0.709606740 -0.972101230
## [61] -0.946223930 -1.085853150 -1.096612060 -0.952752640 -0.857005770
## [66] 0.070585190 -0.793474520 -0.866496680 -0.511720960 -0.450258060
## [71] 0.462131900 0.593611600 0.828912400 0.886809500 -0.845489600
## [76] -0.465892600 0.831399300 0.570753200 -0.907760600 -0.940356500
## [81] -0.637478100 -0.567110400 -0.937473600 -0.936800200 -0.902287200
## [86] -0.810557300 -0.645762500 -0.803396400 -0.880058700 -0.950667800
## [91] -0.936800200 -0.456383000 -0.696666200 -0.573223700 0.915312500
## [96] -0.850682100 -0.675345000 -0.880058700 -0.394002300 -0.856091100
## [101] -0.928495900 -0.736572800 -0.666254500 -0.475451700 -0.486336000
## [106] 0.383437500 0.329028200 -0.410059800 -0.273257900 0.929999200
## [111] 0.257226900 -0.767679500 -0.613328000 -0.594816500 -0.662855200
## [116] -0.657295600 -0.228491200 -0.664883400 -0.962086700 -1.117982600
## [121] -0.605617400 -0.747848400 -0.450605300 -0.855709100 -0.697639000
## [126] -0.912857500 -0.926097800 -0.204725900 -0.682501800 -0.843924900
## [131] -0.676908700 -0.924571800 -0.634229400 -0.679509100 -0.773712600
## [136] -0.756320500 -0.801800100 -0.633565900 -0.799058976 -0.961675888
## [141] 0.145449026 -0.567026262 -0.161485725 0.735161956 0.005331624
## [146] 0.756558514 -0.777521964 -0.966669612 -0.748764626 -0.684810595
## [151] -0.808423172 -0.794187757 -0.846693430 -0.001038078 -0.929721869
## [156] -0.957469955 -0.972977451 -0.929721869 -1.088794539 -0.105064450
## [161] -0.966079289 -0.662312982 -1.079843743 -0.928530381 -0.936855168
## [166] -0.930836178 -0.525085357 -0.667244456 -0.921509202 -0.907303462
## [171] -1.005346265 -0.961335606 -0.710075498 0.364918870 0.986025280
## [176] -0.826551820 0.766291080 0.246906410 -0.838114680 0.552965060
## [181] -0.937585280 -0.700200610 -0.992210050 -0.960219060 -0.955693920
## [186] -1.019065000 -0.927154230 -0.912315670 -0.837372290 -0.945877250
## [191] -0.961470670 -0.919481380 -0.019506090 -1.021374290 -0.118050190
## [196] -0.947197580 -0.987314890 -0.929502580 -0.875168870 -0.945877250
## [201] -0.734497290 -0.610563720 -0.971522510 -0.964425460 -0.998110230
## [206] -0.962480270 -0.921712480 -0.945877250 0.909426300 -0.266069500
## [211] 0.966511600 0.978279200 -0.799962800 -0.608072300 -0.189728500
## [216] -0.921133800 -0.246675000 0.378704900 -0.499738100 -0.904433600
## [221] -0.539692000 0.162421200 -0.616207400 -1.017524600 -0.965338000
## [226] -0.499205400 -0.442577200 -0.902213000 -0.972482500 -0.943663100
## [231] -0.102039200 -0.916283900 -0.971043200 -0.980291400 -0.904433600
## [236] -0.976147300 -0.575477400 -0.328406400 -0.898029800 -0.302277300
## [241] -0.332766600 0.735980360 0.620487490 -0.694890190 -0.025298080
## [246] 0.025917750 -0.377131350 -0.796202440 0.642167580 -0.856544190
## [251] -0.459537060 0.190173820 -0.870580530 -0.942052290 -0.790707120
## [256] -0.689298690 -0.392658970 -0.310905200 -0.514463430 -0.961568370
## [261] -0.891831680 -1.079534820 -0.781024160 -0.753974680 -0.660978210
## [266] 0.468129430 -0.760848610 -0.347906340 -1.178357410 -0.920642890
## [271] -0.948211420 -0.757258850 -0.317358900 -0.512012080 -0.689484920
## [276] 0.099624110 -0.337975360 0.151940100 0.708084930 0.853427390
## [281] 0.852568600 0.864468010 -0.829627980 -0.272628000 -1.033871060
## [286] -0.913948980 -0.898523820 -0.390852220 -0.873998660 -0.965788810
## [291] -0.900409210 -0.886701840 -0.663315360 -0.900571230 -0.816196390
## [296] -0.819389950 -0.592407180 -0.504318100 -0.495531390 -0.880609960
## [301] -0.085152940 -0.715061040 -0.913689870 -0.668502870 -0.209149490
## [306] -0.401568070 -0.902953200 -0.754428850 -0.776959350 -0.803482450
## [311] -0.413655900 -0.836488800 0.804784400 -0.326326200 0.928406500
## [316] -0.357255700 0.924139300 -0.744413000 -1.091641500 -0.492866800
## [321] -0.295684500 -1.041829700 -1.099720000 -0.633614300 -0.862628900
## [326] -0.924678100 -0.503642900 -0.818218900 -0.928023500 -0.798907900
## [331] -0.904525100 -1.005713600 -1.056751800 -0.095891800 -0.986444400
## [336] -0.984573200 -0.946523200 -0.539042200 -0.723147200 0.113358000
## [341] -0.996531900 -1.103945600 -1.041099800 -0.947043700 -0.797011800
##
## $hiv.nn$predictions[[6]]
## [1] -0.119837100 0.287933600 0.509312300 0.539161700 0.612892700
## [6] -0.630132900 0.590404300 0.482035300 -0.723758500 -0.722301100
## [11] -0.795549700 -0.493359400 -0.938995200 -0.919728800 -0.943683800
## [16] -0.853703000 -0.307465800 -0.536808800 -0.923590100 0.347467800
## [21] -0.917877100 -0.673156600 -0.947943800 -0.229670200 0.762807400
## [26] -0.985886300 -0.873901000 -0.970756500 -0.951494000 0.190695900
## [31] -0.970820600 -0.677833300 -0.793954000 -0.878030300 -0.687737900
## [36] -0.761239900 0.151367500 -0.638468600 -0.399797800 -0.827994600
## [41] 0.989932800 -0.742262700 -0.978033800 -0.978033800 0.672531100
## [46] -1.008252200 -1.067670100 -0.912243000 -0.804097600 -0.736180100
## [51] -0.921108000 -0.816343800 -0.893775200 -0.470371900 -1.093487800
## [56] -0.800466300 -1.005182200 -0.950945300 0.343021100 -0.808494900
## [61] -0.996121400 -1.054213900 -0.738054100 -0.978033800 -0.470371900
## [66] -0.736596200 -1.069200900 -0.970578500 -0.712103200 0.242050160
## [71] 0.749701710 0.374461640 -0.916418880 0.323605070 -0.215377920
## [76] -0.494069500 -1.009731890 -0.706104980 -0.890947680 -0.332557920
## [81] -0.850706590 -0.478566570 -0.617716510 -0.905204610 -0.948294310
## [86] -0.966864930 -0.892283370 -1.002561790 -0.913524900 0.017161440
## [91] -0.799281500 -0.694922870 -0.766057730 -0.283056030 -0.796639620
## [96] -0.760604480 -1.000023330 -0.220203050 -0.815180790 -0.849228930
## [101] -0.849715850 -0.987113100 -0.295200940 -0.381822742 -1.089551682
## [106] 0.415491432 0.848482107 0.834397087 -1.114517046 0.511312405
## [111] -0.897375624 -0.857460889 -0.987066220 -0.725573385 -0.615744920
## [116] -1.059781769 -0.986818560 -0.149520728 -0.862677396 -1.012508872
## [121] -0.993197992 -0.468107731 -0.873422931 -1.026729638 -0.352941629
## [126] -0.371303874 -0.933257378 0.002312952 -0.891954128 -0.378331267
## [131] -0.725224619 -0.579884413 -0.898373949 -0.868204564 -1.045589694
## [136] -0.870102691 -0.982483224 -0.822459674 0.582050130 -0.429744010
## [141] 0.027143920 -0.264524760 -0.346270980 -0.717880650 0.100960590
## [146] -0.942045990 -0.544566080 -0.660816610 -0.713437390 -0.968779890
## [151] -0.918840600 -0.753816540 -0.708712790 -0.966487410 -0.922157320
## [156] -0.946461130 -0.621655010 -0.975583400 -0.968779890 -0.968779890
## [161] -0.487212380 -0.942045990 -0.867702540 -0.944950510 -0.913800210
## [166] -0.968779890 -0.777654640 -0.944950510 -0.826303560 -0.694798400
## [171] -0.872364510 -0.589583450 -0.536440150 0.165747270 0.889095830
## [176] 0.621844980 -0.055515830 -0.535233780 -0.207871740 0.387248050
## [181] -0.992037060 -0.697084350 -0.940919710 -0.873704420 -0.877530940
## [186] -0.953068520 -0.552225490 -0.865570970 -0.460995840 -0.727237070
## [191] -0.904188340 -0.919966450 -0.841763430 -0.130338650 -0.669602180
## [196] -1.017810030 -0.715244910 -0.612868180 -0.692988110 -0.371028660
## [201] -0.941451090 -0.615050920 -0.851683220 -1.059763280 -0.424746510
## [206] -0.372532760 0.080913050 -0.036074440 0.056569940 0.703672560
## [211] 0.908187120 -0.731647820 -0.041693990 0.892484620 -0.192440580
## [216] -0.948833470 -0.961244290 -1.005423220 -0.987118520 -0.659881200
## [221] -0.729827490 -0.742216380 -0.739817950 -0.793820490 -0.987118520
## [226] -0.861020460 -0.253534600 -0.863492460 -0.801882760 -0.730104890
## [231] -0.857038900 -1.092553150 0.336490960 -0.895880330 -0.827320150
## [236] -0.753936250 -0.363015940 -0.722479520 -0.817390250 -0.790828170
## [241] -0.903155410 -1.046015560 -0.131591600 0.511501500 -0.831034400
## [246] 0.853164000 0.865820300 0.857132500 0.810260000 -0.662276400
## [251] -1.220169000 -0.401638700 -0.718511400 -0.472151900 -0.915006500
## [256] -0.167859000 -0.706093000 -0.386036000 -1.071688300 -0.644155600
## [261] -0.941711900 -0.991802000 -0.891051400 -0.915006500 -0.866361000
## [266] -0.219488000 -0.945234400 -0.860693400 -1.049404300 -0.444868700
## [271] -1.008430900 -0.945234400 -0.559527000 -0.783813600 -1.045636900
## [276] -1.104041900 -0.373180900 0.066970480 0.058391780 -1.011296960
## [281] -0.636109100 -0.297533750 -0.512281180 -0.712168050 0.376681630
## [286] -0.600940750 -1.000846620 0.046894120 -0.626687280 -0.861868310
## [291] -0.682885280 -0.927328950 -0.464369850 -0.629692170 -0.616136210
## [296] -0.811120580 -0.986254290 -1.025937780 -0.846438160 -0.953081860
## [301] -0.694562670 -0.332392430 -0.960847340 -0.811802500 -0.681024920
## [306] -0.439716110 -0.726850370 -0.730426190 -0.817187770 -0.775816220
## [311] -0.288057820 0.609629540 0.567612010 0.717150330 -0.437081140
## [316] 0.191421250 0.717150330 0.028272610 0.650970690 -0.889695880
## [321] -0.688150270 -0.823807420 -0.853831730 -0.867958510 -0.841055160
## [326] -0.064992340 -0.407844880 -0.401172720 -0.731935800 -0.867722160
## [331] -0.330031650 -0.650788560 -0.697686080 -1.041280980 -0.523846950
## [336] -0.738316660 -0.903785550 -1.091671380 -1.120889270 -0.744961140
## [341] -0.904175580 0.163559340 -0.329870320 -0.684545760 -0.811084110
##
## $hiv.nn$predictions[[7]]
## [1] 0.06491085 -0.15240665 0.31664871 -0.46250425 -0.07670977
## [6] -0.20043079 -0.72625890 -0.76245033 -0.96705148 -0.98446415
## [11] 0.14869568 -0.98446415 -0.96396138 -0.72642838 -0.85804687
## [16] -0.87559865 -0.98446415 -0.53155198 -0.94066075 -0.04585387
## [21] -0.85852720 -0.96396138 -0.71946008 -0.71946008 -0.82449501
## [26] -0.90851428 -0.95698331 -0.81244200 -0.63644885 -0.86883345
## [31] -0.86633222 -0.76166803 -0.94619887 -0.56668890 -0.80023423
## [36] 0.65880231 -0.20493957 -0.75542437 -0.57741528 0.22043433
## [41] -0.69585495 -0.27787884 -1.00663507 -0.63338399 -0.14450745
## [46] -0.34813463 -0.32017373 -0.97786803 -0.63761721 -0.77656610
## [51] -0.68560583 -0.70878860 -0.60017018 -0.95157500 -0.96886424
## [56] -0.84311939 -0.96886424 -0.09302258 -0.55443864 -0.85521871
## [61] -0.96886424 -0.89543160 -0.49254588 -0.77340853 -0.93435519
## [66] -0.80339631 -1.02287456 -0.85991647 -0.75132463 -0.36431705
## [71] 0.86147930 0.77209151 0.85941216 -0.82497530 0.86851624
## [76] 0.47195438 0.35571338 -0.72483723 -0.93890627 -1.06072966
## [81] -0.96878788 -0.91007247 -0.95112405 -0.69537788 -0.97185140
## [86] -0.92065029 -0.73378441 -0.89050142 -0.93751410 -0.76719932
## [91] -0.03508806 -0.92348136 -0.65497399 -0.94396196 -0.74058036
## [96] -0.64524477 -0.77739228 -0.95112405 -0.58010977 -0.26916220
## [101] -0.89859851 -0.61789409 -0.89820714 -0.83158855 0.56211714
## [106] 0.85254271 -0.37555913 0.78094515 -0.16380601 -0.52856475
## [111] 0.68324066 -0.92177792 -0.97180846 -0.64578902 -0.76064636
## [116] -0.93934694 -1.08221948 -0.74837079 -0.70590439 -0.37849603
## [121] -0.81820748 -0.97661990 -0.65480181 -0.87242647 0.08872529
## [126] -0.58154478 -0.28496030 0.58415933 -0.95651253 -0.93930984
## [131] -0.57119926 -0.86299843 -0.95964479 -0.85792942 -0.63677776
## [136] -0.68708571 -0.66548606 -0.44990887 0.27924000 0.36578700
## [141] -0.45680760 0.78407710 -0.84046920 -0.38973990 0.98881700
## [146] -0.16491540 -0.94306000 -0.83075010 -0.60334500 -0.93182990
## [151] -1.03646850 -0.36227620 -0.86719040 -0.78386800 -0.93925060
## [156] -0.75807620 -0.75850040 -0.41293520 -0.86317440 -0.99699240
## [161] -0.93266100 -0.26143540 -1.01475640 -0.97784000 -0.71145340
## [166] -1.00357640 -0.35808960 -0.71145340 -0.83907030 -0.85452870
## [171] -0.94074670 -0.87170190 -0.98220370 0.75326546 -1.00224933
## [176] 0.46357065 0.99281878 0.02420720 0.96822752 -0.03101077
## [181] -0.57460170 -0.87040752 -1.02459853 -0.20974472 -0.59588502
## [186] -0.95640409 -0.83751677 -0.81420858 -0.02825695 -1.03469634
## [191] -0.98082647 -0.94823203 -0.52796741 -0.96200554 -0.72786241
## [196] -0.91727156 -0.99573241 0.05703864 -0.94131034 -0.74497674
## [201] -0.54832910 -1.07395737 -0.35779716 -0.92367336 -0.99573241
## [206] -1.03620983 -0.90824994 -0.66659447 0.23097960 0.31582550
## [211] 0.95144130 -0.27206380 0.87902910 0.74413750 -0.93302740
## [216] 0.79790830 -0.31111510 -0.27577250 -0.78242180 -0.33895270
## [221] -0.98858330 -0.80671750 -0.31809070 -0.81513620 -0.76498240
## [226] -0.94025420 -0.96838020 -1.05860800 -0.99471910 -0.72412050
## [231] -1.01953850 -1.00852350 0.54092530 -1.01832040 -1.10055640
## [236] -1.09474670 -0.65191790 -1.04920130 -0.81222100 -0.50499170
## [241] -0.94341490 -1.01346330 -0.08859208 -0.04267999 -0.36092129
## [246] 0.98755284 -0.48167054 -0.96386692 1.01189931 -0.85351277
## [251] -0.96406782 -0.67127768 -0.91698603 -0.73935632 -0.68483477
## [256] -0.94094542 -0.93231295 -0.51509472 -0.96701090 -0.97999066
## [261] -0.94503461 -0.97721528 0.09306901 -0.52023393 -0.85181215
## [266] -0.88792303 -0.35944382 0.56747215 -0.97521236 -0.67614600
## [271] -0.07137377 -0.91144133 -0.95755678 -0.83184576 -0.34343650
## [276] -0.35465742 -0.00872449 0.82528269 -0.04330999 0.28392999
## [281] 0.39665582 0.44995575 0.95810847 0.49959753 -0.85461381
## [286] -0.48162945 -0.95051054 -0.43115748 -0.85922975 -0.82247802
## [291] 0.09623297 -0.44286185 -0.35227962 -1.00014985 -0.97795141
## [296] -0.98724821 -1.05699237 -0.82823094 -0.36726957 -0.60279448
## [301] -0.76679158 -0.78799614 -0.92475541 -1.04563189 -0.64573004
## [306] 0.16929812 -0.68267438 -0.98478120 -0.50821709 -0.99578300
## [311] -0.43912670 -0.20666965 -0.01709473 0.84747940 -0.58925598
## [316] 1.07372414 -0.89400238 -0.16485850 -0.29515571 -0.69809842
## [321] -0.91460106 -0.95209334 -0.90452280 -0.93266923 -0.42913962
## [326] -0.97490479 -0.70271661 -0.28912718 -0.93820698 -0.97459997
## [331] -0.95741035 -0.99832121 -0.86055814 -0.88251412 -0.69809842
## [336] -1.03139295 -0.90148842 -0.73189367 -0.94781479 -0.99431556
## [341] -0.80987213 0.04121110 -1.01404622 -0.91690335 -0.35371566
##
## $hiv.nn$predictions[[8]]
## [1] -0.65901740 -0.09857070 -0.61985710 -0.43850590 -0.82010850
## [6] -0.62524590 -0.16224540 -0.96149710 -0.77132390 -0.69347130
## [11] -0.58872080 -0.96092930 -0.44311680 -0.89663960 -0.76669240
## [16] -0.13995250 -0.87204860 -0.99702540 -0.92135080 -0.90857770
## [21] -0.97644090 -0.13673840 -0.96904020 -0.59697890 -0.96092930
## [26] -0.91693220 -0.98049820 -0.99654600 -0.61336850 -0.18828350
## [31] -0.90523530 -1.01537550 -0.74680080 -0.43594150 -0.77278600
## [36] 0.25572230 -0.34345480 -1.07886370 0.70058530 -0.77456220
## [41] -0.61315830 1.01555610 -0.93180360 -0.95019300 -0.75920450
## [46] -0.38750140 -0.97493460 -0.98845730 -0.83043320 -0.66710570
## [51] -0.79039390 -0.94810610 -0.93760860 -0.94810610 -0.60877450
## [56] -0.72253410 -0.75635660 -0.43226880 -1.03334660 -0.83000850
## [61] -0.79039390 -0.79687590 -0.98845730 -0.85694000 -0.41233150
## [66] -0.88074240 -0.43931700 -0.97386110 -0.98666860 0.29879330
## [71] -1.02666200 -0.89460430 0.95103310 0.88798130 -0.49771190
## [76] 0.45668620 -0.78183160 -1.06165350 -0.94030380 -1.01511330
## [81] -0.70326080 -0.97807420 -0.57175110 -0.87478260 -0.92826880
## [86] -0.97504900 -1.00091520 -0.95771050 -0.25065380 -1.06638340
## [91] -0.83257270 -0.72785080 -1.05134670 -0.64288080 -0.96853670
## [96] -0.71580600 -0.83636310 -0.38752100 -0.90711610 -0.96593830
## [101] -1.10750960 -0.80234570 -0.92083630 -0.09162874 -0.08703646
## [106] 0.90768515 -0.19796695 0.38710177 1.02041554 -0.42297080
## [111] 0.18937483 -0.94909571 -0.57299739 -0.69876775 -0.90064965
## [116] -0.94870985 -0.72893042 0.02138373 -0.56357887 -0.20662583
## [121] -0.47442279 -0.91465241 -0.98884643 -0.86698115 -0.84101055
## [126] -0.94870985 -0.14340308 0.02146613 -0.97885987 -0.93845811
## [131] -0.87593211 -0.55553715 -0.31391189 -0.95183439 -0.40794386
## [136] -0.77830618 -0.29729219 0.67228215 0.52727908 0.70121724
## [141] 0.83388915 0.73485251 -0.65738587 0.50536553 0.57472842
## [146] -0.68471510 -0.24854574 0.11220548 -0.84725103 -0.97215860
## [151] -0.93969102 -0.89006670 -0.80376810 -1.02199484 -0.90084140
## [156] -0.90026574 -0.90711853 -1.03995713 -0.94241205 -0.37322568
## [161] -0.09237003 -0.83022322 -0.80892716 -0.78372933 -0.45236593
## [166] -1.04056074 -0.96064449 -1.04970954 -0.88409279 -1.02673034
## [171] -0.98629452 -0.75286543 -0.14246613 0.39377077 0.40275244
## [176] 0.93157072 0.94773622 -0.39660112 0.10400952 -0.94914481
## [181] -0.99856701 -0.94250181 -1.02579611 -0.92953088 -0.86001808
## [186] -0.95308616 -0.95058247 -1.10393164 -0.67411031 -0.71003117
## [191] 0.09538106 -0.92000939 -0.27730959 -0.93908139 -0.98787749
## [196] 0.93778584 -0.87352700 -1.05520351 -0.88862504 -0.78755220
## [201] 0.27444104 -0.86531264 -0.74238550 -0.61622632 -0.73130751
## [206] -0.58191869 -0.13323934 -0.02604862 0.83971517 0.94742597
## [211] -0.34892290 0.98251077 0.95455128 0.92696847 -0.96285434
## [216] -0.93097211 0.30746195 -0.64499183 -1.04991638 -0.89476372
## [221] -0.10251825 -0.91720927 -0.46460087 -1.00348779 -0.82381774
## [226] -0.30988411 -1.05058542 -0.93261210 -0.84580508 -0.95679591
## [231] -0.19174677 0.41831185 -1.00636760 -1.03819268 -0.94949552
## [236] -0.82381774 -0.93276732 -0.65280213 -0.93825101 -0.80321307
## [241] -0.82341124 0.51210464 0.83808218 0.84375658 -0.38968171
## [246] 0.28492058 0.84375658 -0.78062284 -0.70653722 -0.59466921
## [251] -0.88500059 -0.85806427 -0.64808393 -0.51369385 -0.06137999
## [256] -0.63145051 -0.81500122 -0.94803199 -0.65424613 -1.03125216
## [261] -0.59965990 0.24590711 -0.78062284 -0.73961988 -0.67978057
## [266] -0.31116158 -0.80430313 -0.97698689 -1.07551877 -0.94313320
## [271] -0.97556017 -0.15038255 -0.89892523 -1.10179800 -0.41289026
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## [341] -0.78718560 -0.94215560 -0.88160380 -0.43511650 0.10478370
##
## $hiv.nn$predictions[[9]]
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## [6] 1.005786084 0.888232377 -0.895903845 -1.008705301 -0.689821473
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## [31] -1.004142504 -0.491168624 -1.033749651 -0.105872189 -0.809891757
## [36] -0.080184292 0.988222163 -0.885391393 0.411842627 -0.008535449
## [41] -0.738095123 -0.187395072 -0.847894669 -0.955815202 -0.831742902
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## [56] -0.771898571 -0.991059325 -0.008895109 -0.881100066 -0.879386223
## [61] -1.022674489 -0.516783180 -0.598995335 -0.748063063 0.135864686
## [66] -0.806344194 -0.955815202 -0.869084725 0.157064300 0.314039300
## [71] 0.919206900 -0.147660900 0.745368900 0.942065700 0.528365700
## [76] -0.720227500 -0.622689800 -0.925774200 -0.686136800 -0.694479000
## [81] -0.925797700 -0.910417200 -0.828646200 -0.664848100 -0.955332700
## [86] -0.407080400 -0.764855000 -0.338743300 0.116249700 -0.825755400
## [91] -0.650329600 -0.743861500 -0.955332700 -0.740871600 -0.939873400
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## [171] -0.449986500 -0.554300200 0.128313400 -0.029792130 -1.053835590
## [176] 0.553846890 0.615118530 -1.002641760 -1.017609280 -0.924120160
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## [241] -0.306438450 0.305369210 0.593291290 0.580546980 -0.360305580
## [246] -0.615497660 -0.767053630 -0.322264050 -0.953854840 -0.594256760
## [251] -0.482475150 -0.953854840 -0.955856160 -0.932631130 0.090708650
## [256] -0.480096170 -0.944507520 -0.879869460 -0.963271990 -0.783669690
## [261] -0.905442200 -0.683684250 -0.819017190 -1.063589560 -0.567840450
## [266] -1.001210080 -0.683081570 -0.902618630 -0.668176390 -0.468308480
## [271] -0.932219980 -1.022740090 -0.785106090 -0.301381300 -0.624112250
## [276] -0.286708000 -0.596396910 0.374568160 -0.938447860 -0.756234630
## [281] 1.021859360 -0.112060460 -0.014247720 -0.683993410 -0.317736050
## [286] -0.963180950 -0.752769480 -0.884610460 -0.958484790 -0.954118420
## [291] -0.770002830 -0.855773790 -0.593881200 -0.850410970 0.025129610
## [296] -0.623383160 -0.309878940 -0.835404560 -0.849916190 -0.995449900
## [301] 0.163677810 -0.940987350 -0.887173920 -0.359848400 -0.747370600
## [306] -0.659679020 -0.760210290 -0.965164170 -0.950173870 -0.958484790
## [311] 0.597862100 -0.111396300 0.102482300 -0.367799800 0.717020200
## [316] -0.302679200 0.734213900 0.584639800 -1.006905100 -0.944900000
## [321] -0.337289500 -0.483955400 -0.906431600 -0.434639900 -0.742260700
## [326] -0.312911900 -0.893642500 -0.858242600 -0.900035300 -0.719121600
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## [336] -0.892557000 -0.893642500 -0.731444700 -0.928774000 0.251031700
## [341] -0.885040800 -0.580482000 -0.783218500 -0.903392700 -0.557530300
##
## $hiv.nn$predictions[[10]]
## [1] -0.467407020 0.520102400 -1.031968710 -0.910963700 -0.802685180
## [6] 0.864163800 0.488403980 0.374828480 -0.664705130 -0.938192590
## [11] -0.424622340 -0.908385980 -0.977984020 -0.778190760 -0.410576840
## [16] -0.095500590 -0.540160260 -0.916477270 -0.988906020 -0.598952080
## [21] -0.980213820 -0.977984020 -0.911852180 -0.806044470 -0.025262430
## [26] -0.871099120 -0.292041780 -0.759709060 -0.573330930 -0.708313290
## [31] -0.373104950 0.341596100 -0.800274090 -0.729449090 -0.654075010
## [36] -0.344348300 0.443095600 -0.829688800 0.192273500 0.890816100
## [41] -0.321806700 0.863191600 0.671459700 -0.527433000 -0.744481800
## [46] -0.546488800 -0.620904200 -1.004931400 -0.881408000 -0.799368800
## [51] -0.648657100 -0.877249400 -0.847489000 -0.935286900 -0.954098100
## [56] 0.230804400 -0.231900300 -0.740720300 -0.892573500 -0.954098100
## [61] -0.997827500 -0.749448400 -1.077566500 -0.923215500 -0.200168600
## [66] -0.934775600 -0.828810000 -0.671645000 -0.816504100 -0.877249400
## [71] 0.065364710 0.074002200 -0.404444700 0.781920170 -0.304276980
## [76] -0.799528810 -0.070839170 -1.174560440 -0.550535880 -0.972446200
## [81] -0.745108880 -0.843302560 -0.470900640 -0.715111570 -1.026326400
## [86] -0.407249680 -0.482499890 -0.958563520 -0.264542640 -0.884559870
## [91] -0.815261410 -0.887111160 -0.939183850 -0.756239520 -0.874176360
## [96] -0.966262720 -0.843302560 -0.442542660 -0.740806760 -1.013890700
## [101] -1.152849610 -0.865341180 -0.292858830 0.737441500 -0.866781800
## [106] 0.292608200 0.921526600 0.119185200 -0.638434700 -0.768160800
## [111] 0.120169200 -0.621903100 -0.682747500 -0.619676900 -0.982708100
## [116] -0.278179700 -0.768160800 -0.788036400 -0.910687300 -0.624047600
## [121] -0.711142800 -0.817775800 -0.430454800 -1.006374100 -0.735170700
## [126] -0.967061000 -0.343937000 -0.784684800 -0.597614300 -0.879741900
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## [151] -0.842743090 -0.932196620 -0.721254960 -0.968492910 -0.965233880
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## [341] -0.668949300 -0.853426500 -0.294197000 -0.542062000 -0.706085000
##
##
## $hiv.nn$labels
## $hiv.nn$labels[[1]]
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## $hiv.nn$labels[[2]]
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## $hiv.nn$labels[[3]]
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## $hiv.nn$labels[[4]]
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##
## $hiv.nn$labels[[5]]
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## $hiv.nn$labels[[6]]
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##
## $hiv.nn$labels[[7]]
## [1] 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
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## [323] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
##
## $hiv.nn$labels[[8]]
## [1] 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [24] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 -1 -1 -1 -1
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## [162] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1
## [185] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1
## [208] 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [231] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [254] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1
## [277] 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [300] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [323] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
##
## $hiv.nn$labels[[9]]
## [1] 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [24] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [47] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1
## [70] 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [93] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [116] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [139] 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [162] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1
## [185] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [208] 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [231] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1
## [254] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1
## [277] 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [300] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [323] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
##
## $hiv.nn$labels[[10]]
## [1] 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [24] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1
## [47] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [70] -1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [93] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [116] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1
## [139] 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [162] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [185] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
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## [231] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1
## [254] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1
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## [300] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 -1 -1 -1 -1
## [323] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
str(ROCR.hiv)
## List of 2
## $ hiv.svm:List of 2
## ..$ predictions:List of 10
## .. ..$ : num [1:345] -0.438 -0.767 0.695 -0.689 0.326 ...
## .. ..$ : num [1:345] 0.7591 0.0344 0.5248 -0.7985 -0.3898 ...
## .. ..$ : num [1:345] 0.9129 0.0524 1.6348 1.0607 -1.2546 ...
## .. ..$ : num [1:345] -0.609 0.156 0.905 0.54 -0.167 ...
## .. ..$ : num [1:345] 0.962 0.659 -1.319 1.355 -0.396 ...
## .. ..$ : num [1:345] 0.238 -0.181 0.893 0.965 0.341 ...
## .. ..$ : num [1:345] 0.0215 0.1597 0.4506 -0.917 -0.0839 ...
## .. ..$ : num [1:345] -0.875 -0.109 -0.876 -0.996 -1.211 ...
## .. ..$ : num [1:345] -0.69577 0.00625 -0.82639 0.08989 0.07123 ...
## .. ..$ : num [1:345] 0.00767 -0.06684 -1.08025 -0.76255 -1.30598 ...
## ..$ labels :List of 10
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 -1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 -1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : int [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## $ hiv.nn :List of 2
## ..$ predictions:List of 10
## .. ..$ : num [1:345] -0.276 -0.161 0.639 -0.627 0.603 ...
## .. ..$ : num [1:345] 0.401 0.429 0.454 -0.683 -0.192 ...
## .. ..$ : num [1:345] 0.8078 0.0952 0.7608 0.1656 -0.8107 ...
## .. ..$ : num [1:345] -0.516 0.608 0.735 0.738 -0.13 ...
## .. ..$ : num [1:345] 0.357 0.125 -1.04 0.952 -0.153 ...
## .. ..$ : num [1:345] -0.12 0.288 0.509 0.539 0.613 ...
## .. ..$ : num [1:345] 0.0649 -0.1524 0.3166 -0.4625 -0.0767 ...
## .. ..$ : num [1:345] -0.659 -0.0986 -0.6199 -0.4385 -0.8201 ...
## .. ..$ : num [1:345] -0.535 -0.0426 -0.4777 -0.6594 -0.5212 ...
## .. ..$ : num [1:345] -0.467 0.52 -1.032 -0.911 -0.803 ...
## ..$ labels :List of 10
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 -1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 -1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
## .. ..$ : num [1:345] 1 1 1 1 1 1 1 1 -1 -1 ...
pred.svm <- prediction(hiv.svm$predictions, hiv.svm$labels)
perf.svm <- performance(pred.svm, 'tpr', 'fpr')
pred.nn <- prediction(hiv.nn$predictions, hiv.svm$labels)
perf.nn <- performance(pred.nn, 'tpr', 'fpr')
plot(perf.svm, lty=3, col="red",main="SVMs and NNs for prediction of
HIV-1 coreceptor usage")
plot(perf.nn, lty=3, col="blue",add=TRUE)
plot(perf.svm, avg="vertical", lwd=3, col="red",
spread.estimate="stderror",plotCI.lwd=2,add=TRUE)
plot(perf.nn, avg="vertical", lwd=3, col="blue",
spread.estimate="stderror",plotCI.lwd=2,add=TRUE)
legend(0.6,0.6,c('SVM','NN'),col=c('red','blue'),lwd=3)
data(ROCR.xval)
pred <- prediction(ROCR.xval$predictions, ROCR.xval$labels)
perf <- performance(pred,"tpr","fpr")
plot(perf,col="grey82",lty=3)
plot(perf,lwd=3,avg="vertical",spread.estimate="boxplot",add=TRUE)
