similar to: Help using cutreeHybrid

Hola, tengo una serie de datos datExpr, al usar cor() : cor(datExpr ,method = "pearson", use ="pairwise.complete.obs") me da el siguiente error allocMatrix: too many elements specified Trate con "complete.obs", "na.or.complete", y el resto de las opciones para "use", pero siempre me da algun error.  ¿Alguna idea de como puedo hacer que cor() lea

Hello, I want to create a triangular matrix and only keep the lower triangle entries without having to allocate memory for the whole matrix, is there any way I can do something like  A<-matrix(data, nrow=50)  but for a triangular matrix? Thanks ERV [[alternative HTML version deleted]]

Hi Everyone, I have been using the "tree" package for a while with no problems until now. When I run predict(tree, newdata), I get an error with the message "Corrupt tree" for about 50% of the trees that I generate with tree. For other trees, the predict function completes with no errors. I haven't identified a correlation between the corrupt trees and the working tree.

Dear all, I'm using the "ape" package in R and want to draw a phylogenetic tree with not only the tip labels but also some labels for the edges. e.g. Mark the edge AB as "m" in the tree ABC. Couldn't find a way to do that. Can someone help? Thanks, Hua

Dear all, I don't understand the following behaviour: Running compar.gee (in library ape ) with and without the option 'data', it give me different results Example: .... Start R .... > load("eiber.RData") > ls() [1] "gee.na" "mydata" "mytree" > library(ape) > # runnig with the option data= mydata > compar.gee(alt ~ R,

Dear experts, I have to generate 1000 transitions of a discrete time Markov Chain and then give and estimation of the equilibrium distribution. I know the transition matrix. 0.3 0.7 0 0.2 0.5 0.3 0 0.4 0.6 Do you know how to do it with R? Thanks a lot! Estefania [[alternative HTML version deleted]]

I am having difficulty getting the dynamic tree cut package to work. Given the data table "myddtable" LengthPlaceColorAge5HRed224ABlue205WGreen243GRed222GBlue236WGreen255ARed194H Blue23 I created a similarity matrix using DAISY and Gower metric and specified Place and Color columns as characters (since they are categorical variables) > dd.daisy<-daisy(myddtable, metric =

Dear All When drawing a classification tree with plot(mytree) text(mytree) the conditions are written just before the nodes branch. My question is: can one be certain that those conditions refer to the left-side branches? (The R documentation surprisingly lacks the information that I am asking for.) Thanks in advance, Paul

Hi all, I used rpart to fit a model, where the covariates in the model are categorical variables. Then I plotted the tree (mytree) and used the command "text" to add labels to the tree. In the nodes of the tree, the values of the covariates are represented with a, b or c. Is there a way to show the real value(s) of the variable in the nodes instead of a, b or c ? I found that the

Hi, I have produced a dendrogram of categorical data in R using the hclust function, although the input was a dissimilarity matrix produced in SAS, as I have defined my own distances. The dendrogram is fine and I can view and use this. However, I was wondering if there is a method by which I can find out the optimal place to place groups, rather than relying on my visual analysis? I don't

Hello all, I have a problem with the way attributes are dealt with in the function xmlToList(), and I haven't been able to figure it out for days now. Say I have a document (produced by nmap) like this: > mydoc <- '<host starttime="1365204834" endtime="1365205860"><status state="up" reason="echo-reply"

Hello I am trying to store output from a loop into an empty matrix. The current code I am using is: > M<-mat.or.vec(11,89) > for (j in list(3,91)) + {M[,(j-2)]<-pic(datain[,j], mytree)} datain is a matrix (11,91). I only want to use the pic() function on the columns 3:91. When I use this code output is stored into the 1st column of M and the 89th column of M but no other columns. Any

We are happy to announce the first Workshop on LLVM Compilers and Tools for HPC (LLVM-CTH), YAY! LLVM-CTH is part of the ISC High Performance conference which, due to COVID-19, will be organized as a free virtual event using video conferencing. Our Schedule is spread over two days to encourage participation in different time zones. Even if this is our first edition, we have very interesting

I am having trouble displaying a dendrogram of evolutionary relationships (a phylogram imported from the ape package) as the vertical component of a heatmap, but keeping the hierarchical clustering of the horizontal component. The relationships of the vertical component in the generated heatmap are not that of the dendrogram, although the ordering is. In more detail, I am attempting to generate

Hi everyone, samba 2.2.5 The server I'm using has 2 interfaces so using the interface parameter I'm telling samba to use eth0 but for some reason when I do netstat it is listening on eth1 interface = eth0 (the IP is 192.168.6.10) netstat -an udp 0 0 138.79.161.225:137 0.0.0.0:* udp 0 0 0.0.0.0:137 0.0.0.0:* udp 0 0 138.79.161.225:138

https://bugzilla.netfilter.org/bugzilla/show_bug.cgi?id=498 cfilin@intermedia.net changed: What |Removed |Added ---------------------------------------------------------------------------- CC| |chip@innovates.com -- Configure bugmail: https://bugzilla.netfilter.org/bugzilla/userprefs.cgi?tab=email ------- You are

Hi,   I have a data frame and I would need to remove from one of the columns a group of elements I have in another vector. How can I do that? I know how to do it with criteria but i would need to do it in a more automatic way.... In SQL I would use  where ---- not in ---- Thank you, Estefania [[alternative HTML version deleted]]

Hi All, I want to have an array/ matrix that looks this x<- 0 0 1 1 1 3 5 4 4 7 -1 8 9 10 6 I hope this makes sense. So basically if I want x[1,3] it will access 0 and similarly x[4,2], -1. Thanks in advance, Sachin p.s. sorry about the corporate notice. --- Please consider the environment before printing this email --- Allianz - Best General Insurance Company of the Year 2010*

Dear R-Help, I have a clustering problem with hclust that I hope someone can help me with. Consider the classic hclust example: hc <- hclust(dist(USArrests), "ave") plot(hc) I would like to cut the tree up in such a way so as to avoid small clusters, so that we get a minimum number of items in each cluster, and therefore avoid singletons. e.g. in this example, you can see

Is there way on import or add to exclude directories? (Obvious candidate being log or tmp dirs.) I''m imagining something like this: $ svn import mytree file:///usr/local/svn/newrepos/some/project --exclude /tmp --exclude /log \ I have scoured "Version Control with Subversion" without luck but maybe I don''t understand some terminology somewhere... -- Posted via