similar to: Cannot build cluster_1.9,6 under R 2.0.0 beta Sep 21

Hi dear all It's the first time for me to install a developmental version of R, I came across following errors, my system is DISTRIB_ID=Ubuntu DISTRIB_RELEASE=10.04 DISTRIB_CODENAME=lucid DISTRIB_DESCRIPTION="Ubuntu 10.04.1 LTS" I downloaded the dev version of R in cran R source, and downloaded the recommended packages by using wget as described in R manual, and run

Please cc me when replying to the list. With Version 2.1.1 (2005-06-20) on Power Mac G5 running Mac OS X 10.4.2 (8C46): Some compilations work (e.g., MatchIt, RGraphics, Zelig), and some don't, e.g., mgcv, spatstat, and the following (Matrix, cluster): trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/ Matrix_0.98-3.tar.gz' Content type

Regarding Tengfei Yin's post about an error trying to install "cluster" in 2.13.0, I have gotten an error with this package when trying to install the released version of 2.12.0. Here is the output on an Ubuntu Linux system: begin installing recommended package cluster * installing *source* package 'cluster' ... ** libs make[3]: Entering directory

Hi there, I'm doing some clustering analysis and try to find all the algorithms related to clustering in R. Here is the list of the algorithms I found. But I'm not sure if It's the complete list. Could you please check it and see if there're other ones? Thank you very much! P.S.: List of the algorithms related to clustering: (1) Hierarchical methods hclust

Hi all, Can someone tell me how to justify (right or left) the labels on the branches of a dendrogram tree? I have produced a dendrogram via agnes and plotted it with pltree. The dendrogram terminal branch labels seem to be centre-justified by default and I was hoping to change this to left justification. Thanks, Duncan ***************************************** Dr. Duncan Mackay School of

I had installed R from source on Fedora Core 3. Then I upgraded to Fedora Core 4, but left R alone. R worked fine, until I trued to update.packages(). Even then, many packages updated just fine, but two of them, cluster and mgcv, failed with the following error message (using cluster as an example): gcc -shared -L/usr/local/lib -o cluster.so clara.o daisy.o dysta.o fanny.o meet.o mona.o pam.o

Dear R folk: Perhaps I'm just dense today, but I am having trouble reproducing the principal components plotted and summarized by clusplot. Here is a brief example using the pluton dataset. clusplot reports that the first two principal components explain 99.7% of the variability. But this is not what princomp is reporting. I would greatly appreciate any advice. With best regards, -- Tom

Hello, I'm using R 1.40 on MacOS X X.1.2 (installed via the fink package manager). To upgrade my installed packages, I tried to use update.packages() today. All went well for most packages, with the exception of KernSmooth and cluster. In both cases, libraries were not found although I think they are present. Here's what happened: ---------------------------------- >

I compiled R 2.1.0 under Windows XP SP2 as a preliminary to rebuilding a custom package for use with R 2.1.0. The compile completed successfully, and I was able to run demo(graphics) successfully. But make check and make check-recommended fail. > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.0 year 2005

I have "small" problem ... with the cluster library each time I try to use the "agnes","pam","fanny" functions with more than 20000 elements I get the following error: >Error in vector("double", length) : negative length vectors are not allowed >In addition: Warning message: >NAs introduced by coercion But with the clara

Hi list, I am doing cluster analysis using the cluster package. I created a dendrogram using the function plot(agnes(myData)). When I try to change the sise of labels, it does not work. I tried cex = 1.5, etc. Nothing worked. Can anyone give me a hint on how to change the sise of the labels, as well as the sise of axes labels. Thanks Mahdi -- ----------------------------------- Mahdi Osman

Dear R-help list members i would like to use R to produce clustering or partitioning of a dataset. I am trying to use the functions: - hierclust() of the package multiv -pam(), agnes() and fanny() of the package cluster But I cannot get any result because of lack of memory. Would you know any clustering function not to greedy in memory? I have tried to expand my memory limit with memory.limit()

Well, you don't give much of an example.... I'm replying CC to the R mailing list. Please ask questions there, rather than adressing individuals for basic help. Here is one; does it answer your question ? data(agriculture) ag.ag <- agnes(agriculture) class(ag.ag) pltree(ag.ag) # the dendrogram, if you want to see it ## cut the dendrogram -> get cluster assignments: (ck3 <-

I'm clustering rather large data sets and would like to cut the dendrograms to get a better view of specific components. I calculate the dissimilarity matrix using daisy() because I have a mixture of variable types: factors, ordered factors and numerical variables. If I want one dendrogram, I use agnes() for the agglomerative nesting and pltree() to draw the dendrogram. That way, I get the

Thanks a lot, Michael! I cc to R-help, where this question really belongs {as the 'Subject' suggests itself...} -- please drop 'bioconductor' from CC'ing further replies. >>>>> "michael" == michael watson (IAH-C) <michael.watson at bbsrc.ac.uk> >>>>> on Thu, 17 Jun 2004 09:16:59 +0100 writes: michael> OK, admittedly it

Hi (and Merry Christmas), I am trying to compile R on an AIX IBM machine using the native C and FORTRAN compilers... and everything goes smoothly (congratulations for the configure and make files, this is very nice)... until the pacakge 'cluster' (see dump below).... Any hint ? Laurent 1501-510 Compilation successful for file pam.f. cc -I/data1/laurent/R-1.6.1/include

Dear all yesterday I got around to install R-1.5.1 on my machine at home which, admittedly, is running a very old version of RedHat Linux. I noticed two things: 1) My pdflatex version is too old to produce the pdf version of the manuals. `./configure' checks whether a recent version of makeinfo is installed and tells you whether you can produce the info version or not. (I was told I

I am having trouble installing cluster from R-1.5.0-recommended : R CMD INSTALL *.tar.gz ... g77 -fPIC -g -O2 -c pam.f -o pam.o g77 -fPIC -g -O2 -c spannel.f -o spannel.o g77 -fPIC -g -O2 -c twins.f -o twins.o cp: cannot access *.so ERROR: compilation failed for package 'cluster' [34] /home/com1/gilp/Rlibs/R-1.5.0-recommended : This is with R-1.5.0 on Solaris 5.8 using gcc

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C35A53.75780090 Content-Type: text/plain; charset="iso-8859-1" Anyone have a clue why hclust() and agnes() produce different results in the example below when both use method="average"?? I'm not able to reproduce

Full_Name: Mark MacLennan Version: 1.7.1 OS: Solaris 8 Submission from: (NULL) (216.17.17.197) Bug PR#2867 appears to still be occurring ... I am running Solaris 8 using gcc 3.3 and while running the tests for R 1.7.1 I get the following error message regarding Lapack routine dqeqp3 I don't know how serious an issue this is! Thanks for any help! Mark ----- running code in