.BG
.FN mixproj
.TL
Displays one standard deviation of an MVN mixture classification.
.SH DESCRIPTION
Displays one standard deviation of an MVN mxiture classification along
with data in for selected pairs of coordinates.
.CS
mixproj(data, ms, partition, dimens=c(1,2),  scale=F, newframe=T, k=15, ...)
.PP
.RA
.AG data
matrix of observations.
.AG ms
The result of an `mstep' calculation (a list consisting of `mu' and `sigma'
or `sigmasq').
.OA
.AG partition
A integer vector giving an initail classification for each observation.
.AG dimens
A vector of length two giving the two variables of the data to be plotted.
The default is `c(1,2)'.
.AG 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. If `scale=T' the plot will be square.
.AG newframe
A logical variable indicating whether or not `frame' should be invoked before
plotting. The default is to invoke `frame'.
.AG k
Number of subdivisions for plotting segments of ellipsoids. Default: 8.
.AG ...
use for the argument `symbols' indicating the desired symbols to be plotted 
(in the order that they appear in the classification).
.SA
`mstep', `clpairs'
.EX
> data <- matrix(aperm(iris, c(1,3,2)), 150, 4)
> cl <- mclass(mclust(data), 3)
> z <- me( data, modelid = "VVV", ctoz(cl))
> pars <- mstep( data, modelid = "VVV", z)
> mixproj( data, pars, ztoc(z))
.KW clustering
.WR


