R help - May 2004 - equivalent of the Splus function "eboulis()"

Hi,
Is there a equivalent of the function "eboulis()" (which is a
new funtion on Splus) on R? 
Otherwise, with which function can we see the best number of
cluster we have to choose?
Thanks in advance,
Nicolas BOUGET

On Tue, 25 May 2004, n.bouget wrote:
> Is there a equivalent of the function "eboulis()" (which is a
> new funtion on Splus) on R? 
There is no such function in the latest S-PLUS, version 6.2.  Further,
S-PLUS is an English product and `eboulis' appears to be French.
> Otherwise, with which function can we see the best number of
> cluster we have to choose?
Please check out where you got that function from, and give us a 
description of what you are looking for.  We cannot tell you the 
equivalent of a non-existent function (except to give you a list of 
non-existent R functions).

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

This function already exists in the package multidim (see
http://cran.r-project.org/doc/packages/multidim.pdf)
What i want to do is to choose the good number of cluster
after using the function hclust on 6934 instances. 
> hc <- hclust(dist(AGRIINSTTableFinaleCR), "ward")
I use the following expression
> barplot(sort((hc$height/sum(hc$height))*100,decreasing=TRUE))
and i choose as number of cluster the number before a big fall
but i'm not sure that is the good mean to choose the number of
cluster!
> On Tue, 25 May 2004, n.bouget wrote:
> 
> > Is there a equivalent of the function "eboulis()" (which is
a
> > new funtion on Splus) on R? 
> 
> There is no such function in the latest S-PLUS, version 6.2.
 Further,
> S-PLUS is an English product and `eboulis' appears to be French.
> 
> > Otherwise, with which function can we see the best number of
> > cluster we have to choose?
> 
> Please check out where you got that function from, and give
us a 
> description of what you are looking for.  We cannot tell you
the 
> equivalent of a non-existent function (except to give you a
list of 
> non-existent R functions).
> 
> -- 
> Brian D. Ripley,                  ripley at stats.ox.ac.uk
> Professor of Applied Statistics, 
http://www.stats.ox.ac.uk/~ripley/
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
> 
>