[R] Gower Similarity Coefficient
maechler at stat.math.ethz.ch
Mon Aug 14 14:50:24 CEST 2006
>>>>> "Martin" == Martin Maechler <maechler at stat.math.ethz.ch>
>>>>> on Mon, 14 Aug 2006 14:30:39 +0200 writes:
>>>>> "Chuck" == Chuck Cleland <ccleland at optonline.net>
>>>>> on Mon, 14 Aug 2006 04:53:55 -0400 writes:
Chuck> Timothy Rye wrote:
>>> I'm interested in clustering my data using the Gower
>>> Similarity Coefficient, and I was wondering if R is
>>> capable of using that metric
>>> Timothy Rye
Chuck> RSiteSearch("Gower") points to a number of relevant
Chuck> messages in the archives. It also reveals gdist() in
Chuck> the mvpart package, vegdist() in the vegan package,
Chuck> and dist.binary() in the ade4 package, which may do
Chuck> what you want.
Martin> The daisy() function from the package "cluster"
Martin> (which is *recommended* hence part of every complete
Martin> R installation) is also based on Gower's
Martin> (dis)similarity coefficient.
Martin> So you don't need to install a new package [But I
Martin> need to add the word 'Gower' to a better place on
Martin> daisy()'s help page ...]
Hmm, actually, it's already there.
And if you use help.search() smartly
[I use lib.loc = <R system library> in order to not search in
the more than 1000 CRAN and bioconductor packages we have installed],
> help.search("Gower", agrep = FALSE, lib.loc = tail(.libPaths(), 1))
I get exactly the correct match
>> Help files with alias or concept or title matching $,1rx(BGower$,1ry(B using
>> regular expression matching:
>> daisy(cluster) Dissimilarity Matrix Calculation
>> Type 'help(FOO, package = PKG)' to inspect entry 'FOO(PKG) TITLE'.
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