Hello,
I have got problems using pvclust() and it would be really nice if
somebody could help me.
I have got a dataframe called "owner2006" looking like this:
company year share0 share1 share2 share5
share6 share7 share11 share12
1 aareal bank 200
I confirm this bug exists and is 100% replicable on
R version 2.12.2 (2011-02-25)
Platform: i686-pc-linux-gnu (32-bit)
locale:
[1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C
[3] LC_TIME=en_US.utf8LC_COLLATE=en_US.utf8
[5] LC_MONETARY=C LC_MESSAGES=en_US.utf8
[7] LC_PAPER=en_US
Hi all
I am writing to you with a question regarding the pvclust package. And
yes, before the usual people produce their usual
contact-the-package-maintainers line, ye, I tried that but the emails
one can find on the web either bounce or are not responded to. Also,
yes, this error has already been
I have been using the pvclust package to perform hierarchical clustering
with bootstrapped p-values. I am using it to compare the numbers of
clusters identified between different datasets. However, the numbers are
not comparable because pvclust calculates p-values for the optimal
number of clusters
thank you for the information.
would be great to have the possibility to check significance of clusters
coming from other distance-measures, too - but i'll be satisified with what
pvclust() can do.
yours,
kay
--
View this message in context:
http://n4.nabble.com/hvcluster-with-distance-method-f
hi,
I'm trying to use pvclust function (pvclust package) to perform a
cluster analysis and finding p-values for groups, however, i need to
use the "squared euclidean distance" method instead of "euclidean
distance" as distance matrix but it seems that the package only allows
the last... any ideas
Hello there,
Here's a question regarding p-values on clusters produced by hierarchical
cluster analysis. A web search led me to the program pvclust to tackle this
problem. But when I run the problem I get strange results. The 'AU'
(approximately unbiased) p-values are very different from the '
Hello,
I am attempting to assign significance levels to a UPGMA cluster analysis as
part my doctoral research. The pvclust function works well but doesn't include
the similarity index I need (morisita's) as an option for computing a distance
matrix. Morisita's is available in vegdist in the
Phil taylor wrote:
> Hi all
>
> I am trying to perform the follwing:
>
> fit<-pvclust(wq, method.hclust="ward", method.dist="euclidean")
What is wq? Which version of R? WHich version of the pvclust package (I
guess we are talking about that one?)? We also need a reproducible
example, as the
Hi all
I am trying to perform the follwing:
fit<-pvclust(wq, method.hclust="ward", method.dist="euclidean")
but get a strange error message that I just cant figure out.
Has anyone come across this? Any help would be most appricieated
Error in hclust(distance, method = method.hclust) :
NA/NaN/
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