R: Plot categorial data with three-dimensional plots

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]