Problem with clusplot
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 method, or you could remove some variables from your data, or you could think about whether the data you have are appropriate for what you're trying to do with them. Sarah
On Tue, Dec 6, 2011 at 12:58 AM, elisacarli21 <elisacarli21 at gmail.com> wrote:
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$cluster),FUN=mean) ?# append cluster assignment ?mydata <- data.frame(mydata, fit$cluster) ?library(cluster) clusplot(mydata, fit$cluster, color=TRUE, shade=TRUE, ?labels=2, lines=0) I get the following error Error in princomp.default(x, scores = TRUE, cor = ncol(x) != 2) : ?'princomp' can only be used with more units than variables How can I fix it? Thanks
Sarah Goslee http://www.functionaldiversity.org