Well, if I had to guess (and I do, since we have no idea what your data
look like, and calling your data matrix is a very bad idea): you have more
variables than units, so clusplot() can't use princomp() to create a reduced-
dimension plot.
You could roll your own using a different ordination meth
Dear all
I'm trying to run a cluster analysis with R
Here are the commands:
mydata <- na.omit(matrix) # listwise deletion of missing
mydata <- scale(matrix) # standardize variables
fit <- kmeans(mydata, 8) # 8 cluster solution
# get cluster means
aggregate(mydata,by=list(fit$cluster),FUN=mean
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