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@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
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"))