R: Plot symbolic interval-valued data on a scatterplot matrix

plotInterval {clusterSim} | R Documentation

## Plot symbolic interval-valued data on a scatterplot matrix

### Description

Plot symbolic interval-valued data on a scatterplot matrix (optionally with clusters)

### Usage

    plotInterval(x, pairsofsVar=NULL, cl=NULL, clColors=NULL,...)

### Arguments

`x` | symbolic interval-valued data
`pairsofsVar` | pairs of symbolic interval variables - all variables (`pairsofsVar=NULL`) or selected variables, e.g. `pairsofsVar=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`,`plotCategorial3d`, `colors`, `pairs`

### Examples

    # Example 1
    library(clusterSim)
    data(data_symbolic)
    plotInterval(data_symbolic, pairsofsVar=c(1,3,4,6), cl=NULL,
    clColors=NULL)

    # Example 2
    library(clusterSim)
    grnd <- cluster.Gen(60, model=5, dataType="s", numNoisyVar=1,
    numOutliers=10, rangeOutliers=c(1,5))
    grnd$clusters[grnd$clusters==0] <- max(grnd$clusters)+1
    # To colour outliers
    plotInterval(grnd$data, pairsofsVar=NULL, cl=grnd$clusters,
    clColors=TRUE)

    # Example 3
    library(clusterSim)
    grnd <- cluster.Gen(50, model=4, dataType="s", numNoisyVar=2,
    numOutliers=10, rangeOutliers=c(1,4))
    grnd$clusters[grnd$clusters==0] <- max(grnd$clusters)+1
    # To colour outliers
    plotInterval(grnd$data, pairsofsVar=NULL, cl=grnd$clusters,
    clColors=c("red","blue","green","yellow"))

[Package clusterSim version 0.49-2 Index]