R: Plot Two Dimensional Data with clusters

Plot EM Results {EMCluster} | R Documentation

## 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 * 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 wccsnow@gmail.com 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)

[Package EMCluster version 0.2-13 Index]