[R] plot(pam.object) error with R-1.7.0 on Red-Hat 8.0 i686
Martin Maechler
maechler at stat.math.ethz.ch
Tue Apr 29 18:39:30 CEST 2003
>>>>> "alessandro" == alessandro semeria <alessandro.semeria at cramont.it>
>>>>> on Mon, 28 Apr 2003 18:53:11 +0200 writes:
alessandro> I don't know if there is some fault in compiling
alessandro> or a bug of the new R-1.7.0 version:
> cl.pam.2 <- pam(as.dist(1-cor(mel.data)),2)
> plot(cl.pam.2)
alessandro> perform a right partitioning and silhouette plot
alessandro> on the old R-1.6.2 instead "Error in
alessandro> clusplot.default(x$diss,...... ; x is not
alessandro> numeric" is the output on the new R-1.7.0. Same
alessandro> platform: RH8.0 i686. Some suggestions?
yes.
This is a bug in the cluster package I'm maintaining.
(I'll file a bug report myself).
One workaround is to say
cl.pam.2 <- pam(as.dist(1-cor(mel.data)), k=2, keep.diss = TRUE)
## ^^^^^^^^^^^^^^^^^^
plot(cl.pam.2)
{this is a workaround and unnecessary and *not* recommended for
the next release of the cluster package !}
Note that the `keep.diss' is a new argument to pam() {and agnes() and others},
which is not anymore always TRUE by default -- for a good reason:
This allows quite a bit larger datasets than previously,
and also improves on speed (for memory allocation!!) in these
cases.
BUT as you found above, I have overlooked to adapt plot()
method for pam() results to this case.
PS: I think I was able to entirely reproduce what you did, but
the clustering (of the 31 variables) is pretty "bad":
30 variables in 1st cluster; and variable "M93.007" alone in the
2nd cluster.
If you look at silhouette(cl.pam.2) {which is implicitly
used in the above plot() statement} you'll realize that the
silhouette width is really not useful for this case {all widths
are 0}.
Martin Maechler <maechler at stat.math.ethz.ch> http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-1-632-3408 fax: ...-1228 <><
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