plot.kde.loctest {ks} | R Documentation |
Plot for kernel local significant difference regions for 1- to 3-dimensional data.
## S3 method for class 'kde.loctest' plot(x, ...)
x |
an object of class |
... |
other graphics parameters:
and those used in |
For kde.loctest
objects, the function headers are
## univariate plot(x, col, add=FALSE, xlab="x", ylab, rugsize, add.legend=TRUE, pos.legend="topright", ...) ## bivariate plot(x, lcol, 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), ...)
Plots for 1-d and 2-d are sent to graphics window. Plot for 3-d is sent to RGL window.
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)