plot.mclustBIC {mclust} | R Documentation |
Plots the BIC from mclust modeling via function mclustBIC
.
## S3 method for class 'mclustBIC': plot(x, G = NULL, modelNames = NULL, symbols = NULL, colors = NULL, xlab = NULL, ylim = NULL, legendArgs = list(x="bottomright", ncol=2, cex=1), CEX = 1, ...)
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 is .Mclust\$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 is .Mclust\$classPlotColors .
|
xlab |
Optional label for the horizontal axis of the BIC plot. |
ylim |
Optional limits for the vertical axis of the BIC plot. |
legendArgs |
Arguments to pass to the legend function. Set to NULL
for no legend.
|
CEX |
A scalar controling the size of the splot symbols. |
... |
Other graphics parameters. |
A plot of the BIC values for the models specified in the
modelNames
argument.
C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631.
C. Fraley and A. E. Raftery (2006). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.
## Not run: plot(mclustBIC(precip), legendArgs = list(x = "bottomleft")) plot(mclustBIC(faithful)) plot(mclustBIC(iris[,-5])) ## End(Not run)