plot.oclust: Plots results of the 'oclust' algorithm.

In oclust: Gaussian Model-Based Clustering with Outliers

Plots results of the ‘oclust’ algorithm.

Description

Plots results of the ‘oclust’ algorithm.

Usage

## S3 method for class 'oclust'
plot(
  x,
  what = c("classification", "KL", "pval"),
  dimens = NULL,
  xlab = NULL,
  ylab = NULL,
  ylim = NULL,
  addEllipses = TRUE,
  ...
)

Arguments

x	An ‘oclust’ class object obtained by using oclust
what	A string specifying the type of graph. The options are: "classification" a plot of the classifications for the optimal solution. For data with p>2, if more than two "dimens" are specified, a pairs plot is produced. If two "dimens" are specified, a coordinate projection plot is produced with the specified "dimens". Ellipses corresponding to covariances of mixture components are also drawn if "addEllipses = TRUE". "KL" a plot of Kullback-Leibler divergence for each number of outliers. "pval" a plot of approximate p-value for each number of outliers.
dimens	a vector specifying the dimensions of the coordinate projections
xlab, ylab	optional argument specifying axis labels for the classsification plot
ylim	optional limits of the y axis of the BIC and KL plots
addEllipses	logical indicating whether to include ellipses corresponding to the covariances of the mixture components
...	other graphical parameters

oclust documentation built on Dec. 28, 2022, 2 a.m.