extract.roc: Extracts one from two paired ROC curves from a...

In erikpeter/fbroc: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves

Description

Given paired ROC curves it can be helpful to look at them in isolation as well. This functions allows the extraction of one of the paired ROC curves as a fbroc.roc object without recalculating the ROC curve.

Usage

extract.roc(x, index)

Arguments

x	Object of class fbroc.paired.roc.
index	A number specifying which of the two ROC curves should be returned. Needs to be 1 or 2.

Value

An object of class fbroc.roc containing all data about the requested ROC curve

Note

Due to the way the predictions are reordered internally, using use.cache to save the bootstrap results for paired ROC curves and then extracting one of the two curves will not yield the same values as when the ROC curve is bootstrapped as a single curve using fbroc.roc.

See Also

boot.paired.roc

Examples

data(roc.examples)
example <- boot.paired.roc(roc.examples$Cont.Pred, roc.examples$Cont.Pred.Outlier, 
                           roc.examples$True.Class, n.boot = 100)
roc1 <- extract.roc(example, 1)
roc1.equivalent <- boot.roc(roc.examples$Cont.Pred, roc.examples$True.Class, 
                            n.boot = 100)
print(identical(roc1, roc1.equivalent)) # roc1 and roc1.equivalent will be the same
# This does not hold when use.cache = TRUE. See the note above.

erikpeter/fbroc documentation built on May 16, 2019, 8:42 a.m.