plot.kroc: Plot for kernel receiver operating characteristic curve (ROC)...

In ks: Kernel Smoothing

Plot for kernel receiver operating characteristic curve (ROC) estimate

Description

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

Usage

## S3 method for class 'kroc'
plot(x, add=FALSE, add.roc.ref=FALSE, xlab, ylab, 
   alpha=1, col=1, ...)

Arguments

x	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)".
alpha,col	transparency value and colour of line
...	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 graphics/RGL window.

See Also

plot.kde

Examples

data(fgl, package="MASS")
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)

ks documentation built on Aug. 11, 2023, 1:10 a.m.