plotClassification: Plot classification obtained from a mixture model.

In epigenomix: Epigenetic and gene transcription data normalization and integration with mixture models

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 ([e-mail])

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)

epigenomix documentation built on Nov. 8, 2020, 5:24 p.m.