plot.kfs: Plot for kernel feature significance

In ks: Kernel Smoothing

Plot for kernel feature significance

Description

Plot for kernel significant regions for 1- to 3-dimensional data.

Usage

## S3 method for class 'kfs'
plot(x, display="filled.contour", col=7, colors, abs.cont,
   alpha=1, alphavec=0.4, add=FALSE, ...)

Arguments

x	object of class kfs (output from kfs)
display	type of display, "slice" for contour plot, "persp" for perspective plot, "image" for image plot, "filled.contour" for filled contour plot (2-d); "plot3D", "rgl" (3-d)
col, colors	colour for contour region
abs.cont	absolute contour height. Default is 0.5.
alpha	transparency value for contour (2-d)
alphavec	vector of transparency values for contour (3-d)
add	flag to add to current plot. Default is FALSE.
...	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(geyser, package="MASS")
geyser.fs <- kfs(geyser, binned=TRUE)
plot(geyser.fs)

ks documentation built on May 29, 2024, 3:28 a.m.