[R] plotting dendrograms from cluster analyses

[Philippe Grosjean]

>I started a more general approch for dendrograms a year ago using
>class "dendrogram". If you coerce an hclust object to class dendrogram
>using as.dendrogram() then you can use cut.dendrogram to do what you
>want (it returns a list with the upper and lower parts of the cutted
>tree).

Yes, I have seen also some changes in the FAQ of, I think, R v. 1.2.3. I've
written code last year for v. 1.1.1 and now I have to finish the library for
the end of the year. I am a bit embarrassed with this. Should I move to
'dendrogram' objects or should I keep working on 'hclust' objects? Moreover,
my library has to be compatible with both R and Splus. Splus implementation
of hclust is somewhat different but quite close. Do you implement
'dendrogram' objects for Splus too?

I have also the same problem with time management in time series, and with
graphs ("classical" versus lattice)... R is moving so fast these time, as
does Splus, but who will complain...!


>Unfortunately this is unfinished yet, especially the plotting method
>does not print the labels, hence I didn't mention it earlier in this
>thread. I plan to finish this for R 1.4 (to be released by the end of
>the year), but don't hold your breath.

>Of course (as always) volunteers are more than welcome!

>See example(cut.dendrogram)

Thank you for the info.

By the way, I have an additional question. Does someone implement something
similar to hclust, but with "time connexity" (well, this is a rough
translation of French ;-) I mean, if you want to cluster observations of a
time serie, you could be interested by producing a dendrogram WITHOUT
reordering observations. You still keep obs 1, 2, 3,..., n in this order in
the dendrogram. But except this constraint, you apply the same algorithm.

All the best,

Philippe Grosjean


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