ggRandomForests (version 1.1.2)

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

randomForestSRC::rfsrc or randomForestSRC::predict 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)