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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