[R] Cluster analysis with missing data

Bill.Venables at csiro.au Bill.Venables at csiro.au
Tue Jul 14 10:10:15 CEST 2009


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-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf Of Hollix [Holger.steinmetz at web.de]
Sent: 14 July 2009 16:42
To: r-help at 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
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