plotCategorial3d {clusterSim}R Documentation

Plot categorial data with three-dimensional plots

Description

Plot categorial data with three-dimensional plots (optionally with clusters)

Usage

plotCategorial3d(x, tripleofVar=c(1,2,3), cl=NULL, clColors=NULL,...)

Arguments

x data matrix (rows correspond to observations and columns correspond to variables)
tripleofVar triple of variables - vector of the number of variables, e.g. tripleofVar = 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 Marek.Walesiak@ae.jgora.pl, Andrzej Dudek Andrzej.Dudek@ae.jgora.pl

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://www.ae.jgora.pl/keii

See Also

plotCategorial,colors

Examples


# These examples do not run on Mac_OS-X. We're working to fix them
# They run quite well on Windows and Linux in meantime

# Example 1

#library(clusterSim)
#data(data_ordinal)
#plotCategorial3d(data_ordinal, tripleofVar=c(1,3,9), cl=NULL, 
#clColors = NULL)

# Example 2

#library(clusterSim)
#grnd <- cluster.Gen(50,model=5,dataType="o",numCategories=5)
#plotCategorial3d(grnd$data, tripleofVar=c(1,2,3), cl=grnd$clusters, 
#clColors = TRUE)

# Example 3

#library(clusterSim)
#grnd<-cluster.Gen(50,model=4,dataType="o",numCategories=7, numNoisyVar=2)
#plotCategorial3d(grnd$data, tripleofVar=c(1,2,4), cl=grnd$clusters, 
#clColors=c("red","blue","green"))


[Package clusterSim version 0.34-3 Index]