similar to: plot.hclust

Hi All: I am clustering 500 genes using hclust of R. Visualizing cluster membership becomes difficult with so many genes in each cluster...Is there a way of printing the dendrogram in multiple pages so that I can clearly see what is in each cluster? Thanks in advance. Karthi.

I'd like to change the way plot.hclust displays an hclust object. Here's a description of how it's done now, from the R documentation of hclust: In hierarchical cluster displays, a decision is needed at each merge to specify which subtree should go on the left and which on the right. Since, for n observations there are n-1 merges, there are 2^{(n-1)} possible

I have a data set with 6 variables and 251 cases. The people who supplied me with this data set believe that it falls naturally into three groups, and have given me a rule for determining group number from these 6 variables. If I do scaled.stuff <- scale(stuff, TRUE, c(...the design ranges...)) stuff.dist <- dist(scaled.stuff) stuff.hc <- hclust(stuff.dist)

Hello, I would like to cut a hclust tree into several groups at a specific similarity. I assume this can be achieved by specifying the "h" argument with the specified similarity, e.g.: clust<-hclust(dist,"average") cut<-cutree(clust,h=0.65) Now, I would like to draw rectangles around the branches of the dendrogram highlighting the corresponding clusters, as is done by

Hello, Can someone point me to documentation or ideas on how to calculate the centroids of clusters identified with hclust ? I would like to be able to chose the number of clusters (in the style of cutree) and then get the centroids of these clusters. This seems like a quite obvious task to me, but I haven't been able to put my hands on a relevant command. Thank you, Moritz

is anybody else having problems with the new java 1.6.0.22 ? i am tried both cortado-ovt-debug and cortado-ovtk-debug - neither seem to work anymore once i installed the new java. once i go back to the old java 21 everything works fine. my jar file downloads for console messages (below) came from: http://downloads.xiph.org/releases/cortado/cortado-ovtk-debug-0.6.0.jar i have included

I'm looking for a function for the 'multiple correlation' but can not figure out what it is called in R by using the html search function. Maybe it is called in another way in english? I only know the german term? Can anyone help me? Thomas Pesl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

i don't know, whether this is a bug or it is intended: when using winedt and R together it works perfectly, as long as R is run in mdi (multiple window mode). When you switch to sdi (single window mode) winedt, sends no command at all: no history, paste, source or script. Thomas Pesl > version _ platform i386-pc-mingw32 arch x86 os Win32

As nobody seems to answer my request, I simply post it again. Is there any reason why the r-help-mailinglist should not be converted to a newsgroup? These were the advantages of a newsgroup I mentioned earlier: -) you can easily search the archives -) the discussion is faster (I experience that the R-mailinglist has a lag of about 1 to 2 hours (not for everyone!!!). When I ask a question, I get

Hello, a. when I use hclust with the methods media, centroid, and mcquitty, and plot the results, the dendrograms have lines that are crossing each other. Is this ok? b. My next question refers to plot.dendrogram: How can I use parameters as "hang" or "cex" here? E.g. for st <- as.dendrogram(subtreeshc[[x]]) I would like to have something like this, where cex and hang

i want to replace certain values of a matrix. i know how to replace them when the values are in a vector. i tried the same way for a matrix and got this answer: la[la==0]<-1 Error in [<-.data.frame(*tmp*, la == 0, value = 1) : matrix subscripts not allowed in replacement i found a way to do this with "for()", but i think this is the worst way to do it. So is there a

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

When I use the function cutree(), the numbers of the clusters are not in the same order as the plotted dendrogram. Is there any way of sorting them so that they match the tree? Is it possible to plot a dendrogram horizontally, preferably with the branches to the right? This would enable some practical composite plots, e.g. labels that were an entire table with several columns of information, or

under 'mfg' the second paragraph says: [.]the form `c(i, j, nr, nc)' is also accepted, when `nc' and `nc' should be the current number of rows and number of columns. [.] it should be 'nr' and 'nc' instead of 'nc and 'nc' Thomas Pesl > version _ platform i386-pc-mingw32 arch x86 os Win32

Hello, The following code does'nt work for me. The last command reports an error. I have created a consensus tree using the consensus comand from phylo but cannot manipulate the phylo object afterwards to create a dendogram , by transforming the phylo object into a hclust object and then into a dendogram ?? Thanks for any help library(ade4) library(cluster) library(stats) library(ape)

By error I used the function lm with arrays. Is this a legal action? funtion call: h.lm<-lm(h.0~h.9+h.8) where all of the variables are arrays of dimension 722,6,10 Thank you for your help. Thomas Pesl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hi, I was wondering if there is more flexibility in the output of dendrograms when plotting a hclust object. I can't seem to find information on how to change the default output of a "hanging" style tree with the axis on the right to a left-to-right plot with and axis on the bottom. Example code follows: library(vegan) #loads the "vegan" module that compuptes ANOSIM

Hi: I have tried to find the appropriate clust algorithm for mixed type of data. The suggested way I see is: 1. use daisy to get the dissimilarity matrix 2. use PAM/hclust by providing the dissimilarity matrix, to get the clusters but by following this, when the data set grows bigger say 10,000 rows of data, the dissimilarity matrix will be O(n^2), and out of memory will occur. I am

COPLOT: how do i define the given.values for two variables? Thomas Pesl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch

Dear R friends, Is there a formula for the amount of memory, that is needed by dist(), when you know the number of columns and rows? Or is there at least an approximation? Thomas Pesl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or