Hi,
since you are new to R, you might not be aware of some nice feature at
the homepage of R: the task view
http://cran.r-project.org/web/views/
For various topics, somebody kindly provided an overview of packages and
functions for the specific topic.
Also for cluster analysis:
http://cran.r-project.org/web/views/Cluster.html
Welcome to R, I hope this gets you started,
Roland
Paul Slater wrote:
Using Mathematica, I've performed a hierarchical clustering
of 3,107 U. S. counties based on 1995-2000 intercounty
migration, using an algorithm of my own devising
(see http://arxiv.org/abs/0807.1550). I can also generate
the associated 3,107 x 3,107 matrix of ultrametric distances.
Unfortunately, as far as I have been able to
determine, the Mathematica hierarchical clustering
package only produces readable dendrograms with twenty-or-so
or fewer units.
So, I'm wondering whether I can be more successful in looking at
my clustering results overall with R (which
I have not previously used). Please note that I'd rather not have to
produce a hierarchical clustering from scratch using one of the more
standard methodologies (single, complete linkage,...). So, I might
have to use the (non-sparse) 3,107 x 3,107 matrix of ultrametric
distances as an input distance matrix.
Thanks for any suggestions/information...,
Paul B. Slater
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
