Hi, it seems that you mix something up. hclust is for dissimilarity based hierarchical cluster analysis, which has nothing to do with R squared, Pseudo F.... Informative output about the clustering is given as value of the hclust object, function cutree may help to extract a concrete clustering at some level of the hierarchy. Maybe you do not start with dissimilarity data and you might consider pam (in library cluster), kmeans or the library mclust for Normal mixtures. However, the statistics values you are looking for are not the primary quantities of interest in clustering, regardless of the method.
Christian Hennig On Fri, 7 Mar 2003, Pierre-Olivier Chasset wrote: > Hello, > > I would like to calculate a cluster analysis and I use the function 'hclust'. > I have seen the GRAPHICAL results of this function with 'plot'. > I would like to analyse this cluster but I don't know how to see the NUMERICAL > results of each > step of this cluster like: > - R Squared > - Pseudo F > - Pseudo t**2 > Thank you for any help, > > Pierre-Olivier Chasset > > ===== > Pierre-Olivier Chasset > 41, rue de la course > F-67000 Strasbourg > Phone: +33 3 88 32 06 42 > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > -- *********************************************************************** Christian Hennig Seminar fuer Statistik, ETH-Zentrum (LEO), CH-8092 Zuerich (currently) and Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg [EMAIL PROTECTED], http://stat.ethz.ch/~hennig/ [EMAIL PROTECTED], http://www.math.uni-hamburg.de/home/hennig/ ####################################################################### ich empfehle www.boag.de ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
