vegdist() in the vegan package optionally allows pairwise deletion of missing values when computing dissimilarities. The result can be used as the first agrument to hclust()
('Caveat emptor', of course.) ________________________________________ From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of Hollix [holger.steinm...@web.de] Sent: 14 July 2009 16:42 To: r-help@r-project.org Subject: [R] Cluster analysis with missing data Hi folks, I tried for the first time hclust. Unfortunately, with missing data in my data file, it doesn't seem to work. I found no information about how to consider missing data. Omission of all missings is not really an option as I would loose to many cases. Thanks in advance Holger -- View this message in context: http://www.nabble.com/Cluster-analysis-with-missing-data-tp24474486p24474486.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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. ______________________________________________ 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.