plotClassification {epigenomix} | R Documentation

## Plot classification obtained from a mixture model.

### Description

This method visualizes the assignment of data points to the mixture components of the given mixture model. The components are plotted on the y-axis and the data on the x-axis. Data points are plotted in the color of the respective mixture component.

### Usage

    plotClassification(object, method, ...)

### Arguments

`object` | An object of `MixModel-class`.
`method` | Depending on the type of the mixture model (ML, Bayes), different approaches to obtain a classification are available. Also the default approach may vary.
`...` | Further arguments passed to `plot`.

### Details

If `method` is given, it must be a valid option for method `classification`. E.g., if `bayesMixModel` was used to create the mixture model, valid options are "maxDens", "median" and "mode".

Arguments "col" and "pch" can be given to specify the color and the shape of the points plotted. Their length must equal to the number of components.

### Author(s)

Hans-Ulrich Klein (h.klein@uni-muenster.de)

### See Also

`MixModel-class` `listClassificationMethods`

### Examples

    z <- c(rnorm(100, 0, 10), rnorm(100, 0, 2), rexp(100, 1/2), -rexp(100, 1/2))
    mm <- mlMixModel(z, normNull=1:2, expNeg=3, expPos=4,
       sdNormNullInit=c(1, 2), rateExpNegInit=c(1/2), rateExpPosInit=c(1/2),
       pi=c(1/4, 1/4, 1/4, 1/4), maxIter=50, tol=0.01)
    plotClassification(mm)

[Package epigenomix version 1.32.0 Index]