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

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

Description

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

Usage

## S4 method for signature 'ClusterPoisson'
plot(x, y, ...)

Arguments

x	an object of class [ClusterPoisson]
y	a list of variables to plot (subset). Variables names or indices. If missingValues all the variables are represented.
...	further arguments passed to or from other methods

See Also

plot

Examples

  ## for quantitative case
## Not run: 
  data(DebTrivedi)
  dt <- DebTrivedi[, c(1, 6,8, 15)]
  model <- clusterPoisson(iris[1:4], 3, strategy = clusterFastStrategy())
  plot(model)
  plot(model, c(1,2))
  
## End(Not run)

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