plot.mclustBIC: BIC Plot for Model-Based Clustering

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

BIC Plot for Model-Based Clustering

Description

Plots the BIC values returned by the mclustBIC function.

Usage

## S3 method for class 'mclustBIC'
plot(x, G = NULL, modelNames = NULL, 
     symbols = NULL, colors = NULL, 
     xlab = NULL, ylab = "BIC", 
     legendArgs = list(x = "bottomright", ncol = 2, cex = 1, inset = 0.01), 
     ...)

Arguments

x	Output from mclustBIC.
G	One or more numbers of components corresponding to models fit in x. The default is to plot the BIC for all of the numbers of components fit.
modelNames	One or more model names corresponding to models fit in x. The default is to plot the BIC for all of the models fit.
symbols	Either an integer or character vector assigning a plotting symbol to each unique class in classification. Elements in colors correspond to classes in order of appearance in the sequence of observations (the order used by the function unique). The default is given by mclust.options("classPlotSymbols").
colors	Either an integer or character vector assigning a color to each unique class in classification. Elements in colors correspond to classes in order of appearance in the sequence of observations (the order used by the function unique). The default is given by mclust.options("classPlotColors").
xlab	Optional label for the horizontal axis of the BIC plot.
ylab	Label for the vertical axis of the BIC plot.
legendArgs	Arguments to pass to the legend function. Set to NULL for no legend.
...	Other graphics parameters.

Value

A plot of the BIC values.

See Also

mclustBIC

Examples

plot(mclustBIC(precip), legendArgs =  list(x = "bottomleft"))

plot(mclustBIC(faithful))

plot(mclustBIC(iris[,-5]))

mclust documentation built on May 29, 2024, 8:06 a.m.