Plot for kernel receiver operating characteristic curve (ROC) estimate

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Description

Plot for kernel receiver operating characteristic curve (ROC) estimate 1- to 3-dimensional data.

Usage

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## S3 method for class 'kroc'
plot(x, add=FALSE, add.roc.ref=FALSE, ylab, xlab, ...)

Arguments

x

an object of class kroc (output from kroc)

add

flag to add to current plot. Default is FALSE.

add.roc.ref

flag to add reference ROC curve. Default is FALSE.

xlab

x-axis label. Default is "False positive rate (bar(specificity))".

ylab

y-axis label. Default is "True positive rate (sensitivity)".

...

other graphics parameters used in plot.kde.

Value

Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to RGL window.

See Also

plot.kde

Examples

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library(MASS)
data(fgl)
x1 <- fgl[fgl[,"type"]=="WinF",c("RI", "Na")]
x2 <- fgl[fgl[,"type"]=="Head",c("RI", "Na")]
Rhat <- kroc(x1=x1, x2=x2) 
plot(Rhat, add.roc.ref=TRUE)

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