| 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))