Hi! I would convert the simmilarities into dissimilarities by myself. Its quite easy. For example to make a dissimilarity from correlation which is a simmilarity measures you can: dcorr = 1 - cor
and dcorr will be a dissimilarity. More general. Make the smallest value the largest and the largest the smallest. And ensure that the transformation is monotonical. Sincerely Eryk *********** REPLY SEPARATOR *********** On 6/10/2004 at 9:06 AM Xinan Yang wrote: >>>my major is bioinformatics, and i'm trying to cluster ( agglomerate >>>the closest pari of observations ) in R. >>> >>> >>>i have already got my own similarities metric, but do not know how to >>>clust it based on similarities instead of dissimilarities. >>> >>> >>>since the help document of hierclust mentions the parameter "sim", >>>which seems good to me, but it doesn't appear in the code of >>>hierclust() function again? and no sample about it. so could anybody >>>please help me as author? >>> >>>thanks in advance >>> >>>xinan yang >>>[EMAIL PROTECTED] >>> >>>______________________________________________ >>>[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 Dipl. bio-chem. Eryk Witold Wolski @ MPI-Moleculare Genetic Ihnestrasse 63-73 14195 Berlin 'v' tel: 0049-30-83875219 / \ mail: [EMAIL PROTECTED] ---W-W---- http://www.molgen.mpg.de/~wolski ______________________________________________ [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
