ks (version 1.4.1)

plotmixt: Plot for 2- and 3-dimensional normal and t-mixture density functions.

Description

Plot for 2- and 3-dimensional normal and t-mixture density functions.

Usage

plotmixt(mus, Sigmas, props, dfs, dist="normal", ...)

Arguments

mus

(stacked) matrix of mean vectors

Sigmas

(stacked) matrix of variance matrices

props

vector of mixing proportions

dfs

vector of degrees of freedom

dist

"normal" - normal mixture, "t" - t-mixture

...

other graphics parameters

Value

• 2-d plot is sent to graphics window; 3-d plot to RGL window.

Details

See the graphics parameter options in ?plot.kde.

Examples

## bivariate example
mus <- rbind(c(0,0), c(-1,1))
Sigma <- matrix(c(1, 0.7, 0.7, 1), nr=2, nc=2) 
Sigmas <- rbind(Sigma, Sigma)
props <- c(1/2, 1/2)
plotmixt(mus, Sigmas, props, ncont=6, drawlabels=FALSE)
plotmixt(mus, Sigmas, props, ncont=6, dfs=c(3,8), dist="t", drawlabels=FALSE)

## trivariate example
mus <- rbind(c(0,0,0), c(-1,1,1))
Sigma <- matrix(c(1, 0.7, 0.7, 0.7, 1, 0.7, 0.7, 0.7, 1), nr=3, nc=3) 
Sigmas <- rbind(Sigma, Sigma)
props <- c(1/2, 1/2)
plotmixt(mus, Sigmas, props, origin=c(-3,-3,-3))
plotmixt(mus, Sigmas, props, origin=c(-3,-3,-3),  dfs=c(3,8), dist="t")