Dear Laura,
Dear list,
I just tried to use the function cluster.stat in the package fpc.
I just have a couple of questions about the syntax:
cluster.stats(d,clustering,alt.clustering=NULL,
silhouette=TRUE,G2=FALSE,G3=FALSE)
1) the distance object (d) is an object obtained by the function dist() on
my own original matrix?
d is allowed to be an object of class dist or a dissimilarity matrix.
The answer to your question depends on what your "original matrix" is. If
it is something on which you can compute a distance by dist(), you're
right, at least if dist() delivers the distance you are interested in.
2) clustering is the clusters vector as result of one of the many clustering
methods?
The help page tells you what clustering can be. So it could be the
clustering/partition vector of a clustering method or it could be something
else. Note that cluster.stats doesn't depend on any particular clustering
method. It computes the statistics regardless of where the clustering
vector comes from.
Best regards,
Christian
Thank you very much in advance and sorry for such basic question, but I did
not manage to clarify my mind.
Laura
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*** --- ***
Christian Hennig
University College London, Department of Statistical Science
Gower St., London WC1E 6BT, phone +44 207 679 1698
[EMAIL PROTECTED], www.homepages.ucl.ac.uk/~ucakche
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