MixAll (version 1.5.10)

plot,ClusterDiagGaussian-method: Plotting of a class [ClusterDiagGaussian]

Description

Plotting data from a [ClusterDiagGaussian] object using the estimated parameters and partition.

Usage

# S4 method for ClusterDiagGaussian
plot(x, y, ...)

Arguments

x

an object of class [ClusterDiagGaussian]

y

a list of variables to plot (subset). Variables names or indices. If missing all the variables are represented.

...

further arguments passed to or from other methods

See Also

plot

Examples

  ## the famous iris data set
if (FALSE) {
  data(iris)
  model <- clusterDiagGaussian(iris[1:4], 3, strategy = clusterFastStrategy())
  plot(model)
  plot(model, c(1,3))
  plot(model, c("Sepal.Length","Sepal.Width"))
  }