mixproj(mclust)R Documentation

Displays one standard deviation of an MVN mixture classification.

Usage

mixproj(data, ms, partition, scale = F, newframe = T, k = 15, ...)

Arguments

data a matrix of onservations.
ms The result of an mstep calculation (a list consisting of mu and sigma or sigmasq).
partition A integer vector giving an initail classification for each observation.
dimens A vector of length two giving the two variables of the data to be plotted.
scale A logical variable telling whether or not the same scale should be used for both variables so as to preserve geometry. The default does not use the same scale.
newframe A logical variable indicating whether or not frame should be invoked before plotting. The default is to invoke frame.
k Number of subdivisions for plotting segments of ellipsoids. Default: 8.
... use for the argument symbols indicating the desired symbols to be plotted (in the order that they appear in the classification).

DESCRIPTION

Displays one standard deviation of an MVN mxiture classification along with data in for selected pairs of coordinates.

See Also

mstep, clpairs

Examples

data(iris)
cl <- mhclass(mhtree(iris[,1:4], modelid = "VVV"),3)
z <- me( iris[,1:4], modelid = "VVV", ctoz(cl))
pars <- mstep(iris[,1:4], modelid="VVV", z)
mixproj(iris[,1:4], ms=pars, partition=ztoc(z), dimens=c(1,2))


[Package Contents]