| plotCategorial {clusterSim} | R Documentation |
Plot categorial data on a scatterplot matrix (optionally with clusters)
plotCategorial(x, pairsofVar=NULL, cl=NULL, clColors=NULL,...)
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). |
Marek Walesiak Marek.Walesiak@ae.jgora.pl, Andrzej Dudek Andrzej.Dudek@ae.jgora.pl
Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://www.ae.jgora.pl/keii
plotCategorial3d, colors, pairs
# 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"))