plotCategorial3d {clusterSim} | R Documentation |
Plot categorial data with three-dimensional plots (optionally with clusters)
plotCategorial3d(x, tripleofVar=c(1,2,3), cl=NULL, clColors=NULL,...)
x |
data matrix (rows correspond to observations and columns correspond to variables) |
tripleofVar |
triple of variables - vector of the number of variables, e.g. tripleofVar = 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
# These examples do not run on Mac_OS-X. We're working to fix them # They run quite well on Windows and Linux in meantime # Example 1 #library(clusterSim) #data(data_ordinal) #plotCategorial3d(data_ordinal, tripleofVar=c(1,3,9), cl=NULL, #clColors=NULL) # Example 2 #library(clusterSim) #grnd <- cluster.Gen(50,model=5,dataType="o",numCategories=5) #plotCategorial3d(grnd$data, tripleofVar=c(1,2,3), cl=grnd$clusters, #clColors=TRUE) # Example 3 #library(clusterSim) #grnd <- cluster.Gen(50, model=4, dataType="o", numCategories=7, numNoisyVar=2) #plotCategorial3d(grnd$data, tripleofVar=c(1,2,4), cl=grnd$clusters, #clColors=c("red","blue","green"))