ggRandomForests (version 2.0.1)

calc_roc.rfsrc: Reciever Operator Characteristic calculator

Description

Reciever Operator Characteristic calculator

Usage

calc_roc.rfsrc(object, yvar, which.outcome = "all", oob = TRUE)

Arguments

object

rfsrc or predict.rfsrc object containing predicted response

yvar

True response variable

which.outcome

If defined, only show ROC for this response.

oob

Use OOB estimates, the normal validation method (TRUE)

Value

A gg_roc object

Details

For a randomForestSRC prediction and the actual response value, calculate the specificity (1-False Positive Rate) and sensitivity (True Positive Rate) of a predictor.

This is a helper function for the gg_roc functions, and not intended for use by the end user.

See Also

calc_auc gg_roc plot.gg_roc

Examples

## Taken from the gg_roc example
 rfsrc_iris <- rfsrc(Species ~ ., data = iris)
#data(rfsrc_iris)
gg_dta <- calc_roc.rfsrc(rfsrc_iris, rfsrc_iris$yvar, which.outcome=1, oob=TRUE)
gg_dta <- calc_roc.rfsrc(rfsrc_iris, rfsrc_iris$yvar, which.outcome=1, oob=FALSE)