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@ue.wroc.pl, Andrzej Dudek andrzej.dudek@ue.wroc.pl

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://keii.ue.wroc.pl/clusterSim/

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 0.49-2 Index]