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Last data update: 2014.03.03

R: Plot categorial data with three-dimensional plots

plotCategorial3d

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

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"))