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/

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]