```
# Create a ROC curve:
data(aSAH)
roc1 <- roc(aSAH$outcome, aSAH$s100b)
## Basic example ##
if (FALSE) {
ci.coords(roc1, x="best", input = "threshold",
ret=c("specificity", "ppv", "tp"))
## More options ##
ci.coords(roc1, x=0.9, input = "sensitivity", ret="specificity")
ci.coords(roc1, x=0.9, input = "sensitivity", ret=c("specificity", "ppv", "tp"))
ci.coords(roc1, x=c(0.1, 0.5, 0.9), input = "sensitivity", ret="specificity")
ci.coords(roc1, x=c(0.1, 0.5, 0.9), input = "sensitivity", ret=c("specificity", "ppv", "tp"))
# Return everything we can:
rets <- c("threshold", "specificity", "sensitivity", "accuracy", "tn", "tp", "fn", "fp", "npv",
"ppv", "1-specificity", "1-sensitivity", "1-accuracy", "1-npv", "1-ppv")
ci.coords(roc1, x="best", input = "threshold", ret=rets)}# \dontshow{
ci.coords(roc1, x=0.9, input = "sensitivity", ret="specificity", boot.n=10)
ci.coords(roc1, x=0.9, input = "sensitivity", ret=c("specificity", "ppv", "tp"), boot.n=10)
ci.coords(roc1, x=c(0.1, 0.5, 0.9), input = "sensitivity", ret="specificity", boot.n=10)
ci.coords(roc1, x=c(0.1, 0.5, 0.9), input = "sensitivity", ret=c("specificity", "ppv", "tp"), boot.n=10)
rets <- c("threshold", "specificity", "sensitivity", "accuracy", "tn", "tp", "fn", "fp", "npv",
"ppv", "1-specificity", "1-sensitivity", "1-accuracy", "1-npv", "1-ppv")
ci.coords(roc1, x="best", input = "threshold", ret=rets, boot.n=10)# }
## On smoothed ROC curves with bootstrap ##
if (FALSE) {
ci.coords(smooth(roc1), x=0.9, input = "sensitivity", ret=c("specificity", "ppv", "tp"))}# \dontshow{
ci.coords(smooth(roc1), x=0.9, input = "sensitivity", ret=c("specificity", "ppv", "tp"), boot.n = 10)# }
```

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