This function already exists in the package multidim (see http://cran.r-project.org/doc/packages/multidim.pdf) What i want to do is to choose the good number of cluster after using the function hclust on 6934 instances. > hc <- hclust(dist(AGRIINSTTableFinaleCR), "ward") I use the following expression > barplot(sort((hc$height/sum(hc$height))*100,decreasing=TRUE)) and i choose as number of cluster the number before a big fall but i'm not sure that is the good mean to choose the number of cluster!
> On Tue, 25 May 2004, n.bouget wrote: > > > Is there a equivalent of the function "eboulis()" (which is a > > new funtion on Splus) on R? > > There is no such function in the latest S-PLUS, version 6.2. Further, > S-PLUS is an English product and `eboulis' appears to be French. > > > Otherwise, with which function can we see the best number of > > cluster we have to choose? > > Please check out where you got that function from, and give us a > description of what you are looking for. We cannot tell you the > equivalent of a non-existent function (except to give you a list of > non-existent R functions). > > -- > Brian D. Ripley, [EMAIL PROTECTED] > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > University of Oxford, Tel: +44 1865 272861 (self) > 1 South Parks Road, +44 1865 272866 (PA) > Oxford OX1 3TG, UK Fax: +44 1865 272595 > > Acc�dez au courrier �lectronique de La Poste : www.laposte.net ; 3615 LAPOSTENET (0,34�/mn) ; t�l : 08 92 68 13 50 (0,34�/mn) ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
