R help - Feb 2006 - creating dendrogram from cluster hierarchy

Dear R users,

I have created data for hierarchical agglomerative cluster analysis 
which consist of the merging pairs and the agglomeration heights, e.g. 
something like

my.merge <- matrix(c(-1,-2,-3,1), ncol=2, byrow=TRUE)
my.height <- c(0.5, 1)

I'd like to plot a corresponding dendrogram but I don't know how to 
convert my data to achieve this.
Is it possible to create a dendrogram object from a cluster hierarchy?

Thanks in advance,
Cheers,
Timo

-- 
Timo Becker
Phonetics
Austrian Academy of Sciences
Acoustics Research Institute

>>>>> "Timo" == Timo Becker <timo.becker at
oeaw.ac.at>
>>>>>     on Tue, 28 Feb 2006 11:01:26 +0100 writes:
    Timo> Dear R users, I have created data for hierarchical
    Timo> agglomerative cluster analysis which consist of the
    Timo> merging pairs and the agglomeration heights, e.g.
    Timo> something like

    Timo> my.merge <- matrix(c(-1,-2,-3,1), ncol=2, byrow=TRUE)
    Timo> my.height <- c(0.5, 1)

    Timo> I'd like to plot a corresponding dendrogram but I
    Timo> don't know how to convert my data to achieve this.  Is
    Timo> it possible to create a dendrogram object from a
    Timo> cluster hierarchy?

Yes, it is possible.   R does it already with the
as.dendrogram() method for objects of class "hclust".

But I assume you'd also like to know *how* you can do it... ;-)

I'd strongly recommend to take the example of hclust() and have
your function return an object ``like'' the one hclust()
returns.  Then, as.dendrogram( <your object> ) will work.

You have to decide for yourself if your function should return
an object of class "hclust" (which is partly described by
?hclust ), and you use as.dendrogram[.hclust]() directly, 
or rather your function returns a class "hclustTimo" and you
write your own  as.dendrogram.hclustTimo() method.

I'd recommend looking at and using the R's source code, e.g., from 
https://svn.R-project.org/R/trunk/src/library/stats/R/hclust.R and
https://svn.R-project.org/R/trunk/src/library/stats/R/dendrogram.R

Regards,
Martin Maechler, ETH Zurich