plot.clustMDparallel: Summary plots for a clustMDparallel object

In clustMD: Model Based Clustering for Mixed Data

Description

Produces a line plot of the estimated BIC values corresponding to each covariance model against the number of clusters fitted. For the optimal model according to this criteria, a parallel coordinates plot of the cluster means is produced along with a barchart or heatmap of the covariance matrices for each cluster and a histogram of the clustering uncertainties.

Usage

## S3 method for class 'clustMDparallel'
plot(x, ...)

Arguments

x	a clustMDparallel object.
...	further arguments passed to or from other methods.

Value

Produces a number of plots as detailed above.

clustMD documentation built on May 2, 2019, 2:09 a.m.