plotCategorial {clusterSim}

Plot categorial data on a scatterplot matrix

Description

Plot categorial data on a scatterplot matrix (optionally with clusters)

Usage

plotCategorial(x, pairsofVar=NULL, cl=NULL, clColors=NULL,...)

Arguments

x

data matrix (rows correspond to observations and columns correspond to variables)

pairsofVar

pairs of variables - all variables (pairsofVar=NULL) or selected variables, e.g. pairsofVar=c(1,3,4)

cl

cluster membership vector

clColors

The colors of clusters. The colors are given arbitrary (clColors=TRUE) or by hand, e.g. clColors=c("red","blue","green"). The number of colors equals the number of clusters

...

Arguments to be passed to methods, such as graphical parameters (see par).

Author(s)

Marek Walesiak [e-mail], Andrzej Dudek [e-mail]

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland

See Also

colors, pairs

Examples

# Example 1
library(clusterSim)
data(data_ordinal)
plotCategorial(data_ordinal, pairsofVar=c(1,3,4,9), cl=NULL, 
clColors = NULL)

# Example 2
library(clusterSim)
grnd <- cluster.Gen(50,model=5,dataType="o",numCategories=5)
plotCategorial(grnd$data, pairsofVar=NULL, cl=grnd$clusters, 
clColors=TRUE)

# Example 3
library(clusterSim)
grnd<-cluster.Gen(50,model=4,dataType="o",numCategories=7, numNoisyVar=2)
plotCategorial(grnd$data, pairsofVar=NULL, cl=grnd$clusters, 
clColors = c("red","blue","green"))