ks (version 1.9.5)

plot.kde.loctest: Plot for kernel local significant difference regions

Description

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

Usage

## S3 method for class 'kde.loctest':
plot(x, ...)

Arguments

x

an object of class kde.loctest (output from kde.local.test)

...

other graphics parameters: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object] and those 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.

Details

For kde.loctest objects, the function headers are ## univariate plot(x, lcol, col, add=FALSE, xlab="x", ylab, rugsize, add.legend=TRUE, pos.legend="topright", ...) ## bivariate plot(x, col, add=FALSE, xlab="x", ylab="y", add.contour=FALSE, add.legend=TRUE, pos.legend="topright", ...)

## trivariate plot(x, col, add=FALSE, xlab="x", ylab="y", zlab="z", box=TRUE, axes=TRUE, alphavec=c(0.5, 0.5), ...)

See Also

kde.local.test

Examples

library(MASS)
data(crabs)
x1 <- crabs[crabs$sp=="B", c(4,6)]
x2 <- crabs[crabs$sp=="O", c(4,6)]
loct <- kde.local.test(x1=x1, x2=x2)
plot(loct)