Plot for kernel feature significance

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.kde <- kde(geyser)
geyser.fs <- kfs(geyser, binned=TRUE)
plot(geyser.kde, col=1)
plot(geyser.fs, add=TRUE, alpha=0.6)