plot-method: Plot the probability distribution functions of the...

In MixCluster: MixCluster performs the clustering of mixed-type data sets (data sets with different natures of variables) with missing values.

Description

This function plots the probability distribution functions of the one-dimensional margins per components weigthed by the component proportions.

Arguments

x	A MixClusResults object
y	A numeric vector indicating the plotted variables

Value

NULL.

See Also

plot

Examples

# Importation of the data set
data("simu")

# Cluster analysis by the bi-component mixture model of Gaussian copulas
# with equal correlation matrices between classes
mixres <- MixClusClustering(simu, 2, model="homo", nbalgo=1, burn_in=30, nbiter=100)

# Univariate probability distribution function of the one-dimensional 
# margins per component weigthed by the component proportions
plot(mixres)

MixCluster documentation built on May 2, 2019, 5:49 p.m.