R: Plot categorial data on a scatterplot matrix

plotCategorial {clusterSim} | R Documentation

## 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 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

`plotCategorial3d`, `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"))

[Package clusterSim version 0.49-2 Index]