It's a bug in identify.hclust (sic). `x' is used in two senses.
For the record, please send to R-bugs.
On Thu, 30 May 2002 markhall at gol.com wrote:
> Having some problems with using hclust.identify on my data, I revert to
trying
> it out on the example in the help manual. My result is still the same (as
with
> my own data):
>
> data(iris)
> hci <- hclust(dist(iris[,1:4]))
> plot(hci)
> testx<-identify.hclust(hci)
> Error in rect.hclust(x, k = k, x = x$x, cluster = cluster[, k - 1], border
> = "red") :
> k must be between 2 and 0
> identify.hclust(hci, function(k) print(table(iris[k,5])))
> Error in rect.hclust(x, k = k, x = x$x, cluster = cluster[, k - 1], border
> = "red") :
> k must be between 2 and 0
>
> Any suggestions?
>
> I am using R : Copyright 2002, The R Development Core Team
> Version 1.5.0 (2002-04-29) The hclust package was also downloaded
> at the sametime I downloaded the base and other packages (circa May 10th or
> so).
>
> I am using the Windows binaries on a DELL laptop with 256 MB of ram running
> Windows 2000.
>
> The other stuff I have wanted to use in the hclust package seems to be
working
> fine.
>
> Best, Mark Hall
>
>
>
>
>
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
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