99_plotem: Plot Two Dimensional Data with clusters

In EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

Plot Two Dimensional Data with clusters

Description

The functions plot two dimensional data for clusters.

Usage

plotem(emobj, x, main = NULL, xlab = NULL, ylab = NULL,
       ...)
plot2d(x, emobj = NULL, k = NULL, color.pch = 1,
       append.BN = TRUE, ...)

Arguments

emobj	the desired model which is a list mainly contains pi, Mu, and LTSigma, usually a returned object from init.EM.
x	the data matrix, dimension n\times p.
main	title of plot.
xlab	label of x-axis.
ylab	label of y-axis.
...	other parameters to the plot.
k	index for symbols.
color.pch	color and style for symbols.
append.BN	if appending bivariate normal ellipsoid.

Details

This a simple x-y lot.

Value

A plot is returned.

Author(s)

Wei-Chen Chen [e-mail] and Ranjan Maitra.

References

https://www.stat.iastate.edu/people/ranjan-maitra

See Also

init.EM, emcluster.

Examples

## Not run: 
library(EMCluster, quietly = TRUE)
x1 <- da1$da

ret.1 <- starts.via.svd(x1, nclass = 10, method = "em")
summary(ret.1)

plotem(ret.1, x1)

## End(Not run)

EMCluster documentation built on Sept. 8, 2023, 5:55 p.m.