David,

Sounds as if you're looking for cut.dendrogram().

My solution (with c. 250 cases) has been to color the terminals so 
patterns can be seen even when there are too many terminals to label. I 
don't think you can do that easily with plot.hclust() or plot.dendrogram() 
so I posted a hacked version of plot.dendrogram() to R-devel last week. 
Subsequently I was also pointed to a package that does a better job of it 
than my hacked function. It's called A2R, and is not on CRAN but can be 
downloaded from: http://addictedtor.free.fr/packages.

Walton

> Date: Wed, 26 Oct 2005 11:23:26 +0100
> From: David Lucy <[EMAIL PROTECTED]>
> Subject: [R] Dendrogram for many cases
> To: r-help@stat.math.ethz.ch
> Message-ID: <[EMAIL PROTECTED]>
> Content-Type: text/plain; charset=us-ascii; format=flowed
> 
> Dear All,
> 
> I have a cluster object based on a 
> dissimilarity matrix from about 1,100 
> cases and wish to know whether anyone 
> can think  of any tips to display some 
> form of graphical output which would 
> give some sense of the similarity 
> between the cases.
> 
> A standard form of dendrogram would be 
> fine, but with so many cases the 
> dendrogram on the standard devices 
> (R-2.20 on NT4) is very compact in the 
> x-dimension. I wonder whether there is 
> any way that the dendrogram can be 
> subdivided into discrete pieces?
> 
> Failing that, is there any other means 
> of graphically representing the 
> dissimilarity matrix. I am only 
> interested in the low order 
> dissimilarity rather than high order 
> structure between these cases.
> 
> A further constraint is that the NT4 box 
> is well bolted down in that it has no 
> means by which data can be transfered 
> to, or from it.
> 
> Cheers,
> 
> David.

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