Thank you very much for your answer. I tried to run the function on my data and now I am getting this message of error Error in as.dist(dmat[clustering == i, clustering == i]) : (subscript) logical subscript too long
Below the code I am using (version2.7.0 of R with all packages updated): data <- <- as(img, "data.frame")[1:1] #(where img is a small image 256 px x 256 px) kl <- kmeans(data, 5) library(fpc) cluster.stats(data, kl$cluster) Thank you for any hints on the reasons and meaning of the error! Laura 2008/6/13 Christian Hennig <[EMAIL PROTECTED]>: > Dear Laura, > > Dear list, >> I just tried to use the function cluster.stat in the package fpc. >> I just have a couple of questions about the syntax: >> >> cluster.stats(d,clustering,alt.clustering=NULL, >> silhouette=TRUE,G2=FALSE,G3=FALSE) >> >> 1) the distance object (d) is an object obtained by the function dist() on >> my own original matrix? >> > > d is allowed to be an object of class dist or a dissimilarity matrix. > The answer to your question depends on what your "original matrix" is. If > it is something on which you can compute a distance by dist(), you're right, > at least if dist() delivers the distance you are interested in. > > 2) clustering is the clusters vector as result of one of the many >> clustering >> methods? >> > > The help page tells you what clustering can be. So it could be the > clustering/partition vector of a clustering method or it could be something > else. Note that cluster.stats doesn't depend on any particular clustering > method. It computes the statistics regardless of where the clustering vector > comes from. > > Best regards, > Christian > > >> Thank you very much in advance and sorry for such basic question, but I >> did >> not manage to clarify my mind. >> >> Laura >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >> > *** --- *** > Christian Hennig > University College London, Department of Statistical Science > Gower St., London WC1E 6BT, phone +44 207 679 1698 > [EMAIL PROTECTED], > www.homepages.ucl.ac.uk/~ucakche<http://www.homepages.ucl.ac.uk/%7Eucakche> > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
