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

In MixAll: Clustering and Classification using Model-Based Mixture Models

Description

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

Usage

## S4 method for signature '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
## Not run: 
  data(iris)
  model <- clusterDiagGaussian(iris[1:4], 3, strategy = clusterFastStrategy())
  plot(model)
  plot(model, c(1,3))
  plot(model, c("Sepal.Length","Sepal.Width"))
  
## End(Not run)

MixAll documentation built on Sept. 12, 2019, 5:05 p.m.