similar to: problem with postscript output of R-devel on Windows

Using Rgraphviz, I draw the undirected graph with vertices A,B,C and D and edges A:B, B:C, C:D, D:A, A:C. I want the vertices A and B to be red and C and D to be blue. The problem is the following: I want the edges A:B and B:C to be green and the edges C:D and C:A to be yellow, while the edge A:C can have the default colour black. I assume that I have to specify this using the edgeAttrs-argument

I create an undirected graph with Rgraphviz (see code below). I would like to make the edges thicker. Can anyone help on this?? Regards S?ren V <- c("A","B","C","D") E <- list(c("A","B"),c("B","C"),c("C","D"),c("D","A"),c("A","C")) Eidx

Hi, I'm trying to create a connectivity diagram using RgraphViz library. I want to increase the edge's label fontsize, but the size did not change. Did I do something wrong ? M <- matrix(nrow=5,ncol=5,byrow=TRUE,data=mytable) colnames(M) <- levels(pf$agent) A <- new("graphAM", M, "directed", values = list(weight=M)) eAttrs <- list() ew <-

Hi again, I have been playing around with the order of loading packages, and as far as I can tell, there's nothing specific with affycoretools that's causing my Rgui to crash (i.e., shuts down and the Microsoft 'please send error report' box pops up). Instead, it has something to do with the order & type of packages that are loaded that add items to the menu bar by

I have recently upgraded to Ubuntu Gutsy and, for the first time, am using a 64-bit installation. After failing miserably to install R from source, not a problem for me in the past with a 32-bit install, I went the route of using the Debian Etch build. This went smoothly, but I am unable to update my numerous R and BioConductor packages, getting non-zero exit status errors on each package. Is

Hallo, I just installed all needed packages for my project on my PC. But I cannot load all at one time. I now want to load limma. How can I realize the following plan: I want to install for example limma inclusive all needed other sub packages (add-on). Can anyone tell me the corresponding command? Thanks, Corinna Here is the result of the command library(): Pakete in Library

I downloaded: http://www.bioconductor.org/data/metaData/hgu95av2_1.7.0.tar.gz described as: Package: hgu95av2 Title: A data package containing annotation data for hgu95av2 Version: 1.7.0 Created: Wed Jan 12 16:57:23 2005 Author: Lin,Chenwei Description: Annotation data file for hgu95av2 assembled using data from public data repositories Maintainer:

Hi, I used GOstats to perform enrichment test on a set of genes (20). There are 7 GO terms with pvalue less than cuttoff and therefore shown in the result table. How can I get the information that which gene in the input gene set belong to which GO term of these enriched GO terms? Thanks for any comments. best, Tim [[alternative HTML version deleted]]

Hi, I encounter a problem with method dispatch with S4 classes, using the 'sealed' parameter in setClass. See that example below: setClass("X",representation(x="numeric"),sealed=TRUE) setGeneric("foo",function(x) standardGeneric("foo")) setMethod("foo",signature("X"),function(x) print("foo(X)")) x <-

-----Original Message----- From: Robert Gentleman [mailto:rgentlem@fhcrc.org] Sent: Wed 10/12/2008 18:47 To: Legaie, Roxane Subject: Re: Kegg.db with GOstats Hi Roxanne, Can you redirect your question to the mailing list. And, you can find the answer in the mailing list archives... best wishes Robert Legaie, Roxane wrote: > Dear Robert Gentleman, > I am currently working on

I am running R 2.0.0, GOstats 1.1.1 and GO 1.7.0, and when I use the function GOHyperG, I have the following error: w1<-as.list(hgu95av2LOCUSID) w2<-unique(unlist(w1)) set.seed(123) myLL<-sample(w2,100) xx <- GOHyperG(myLL) Error in mget(x, env = GOTERM, ifnotfound = NA) : recursive default argument reference In fact first I tried this function with my locusId ' list (with

Dear all, This message is a kind of 'to be continued...' for that send by /Yu-An Dong,/ [BioC] problems with GO package data <https://stat.ethz.ch/pipermail/bioconductor/2006-February/011760.html>, last february. I've just installed R 2.2.1 on my computer (Windows based version) and downloaded Bioconductor available for this version via the graphical interface facility

Hi, consider this: -------------- estr <- c("2^4", "alpha[1]") eexp <- expression(2^4, alpha[1]) ## Is it possible to get 'eexp' starting from 'estr'? The closest I could ## get was: do.call(expression, lapply(estr, as.name)) ## but it is not quite the same; e.g. the following behave differently: library(lattice) xyplot(1:10 ~ 1:10, scales

Hello, R experts, I tried to retrieve all biological process GO terms at level 3 starting "biological process" as level 1 using the code as bellows: 1 library(GO) 2 library(GOstats) 3 level2<-getGOChildren("GO:0008150")$"GO:0008150"$Children 4 for ( i in 1:length(level2)) { 5 level3 <- getGOChildren(level2[i])$level2[i]$Children 6 for ( j in

Neither biocLite nor the GUI menus can install packages on my system. Here is relevant output: > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 11.1 year 2010 month 05 day 31 svn rev 52157 language R version.string R version 2.11.1 (2010-05-31) > source("http://bioconductor.org/biocLite.R") BioC_mirror =

You asked the same question on the Bioconductor mailing list back in August. At that time, you suggested yourself a solution for how the adjusted p-values should be interpreted. I answered your query and told you that your interpretation was correct. So I'm not sure what more can be said, except that you should read the article Wright (1992), which is cited in the help entry for p.adjust(),

Mark, there is a fdr website link via Yoav Benjamini's homepage which is: http://www.math.tau.ac.il/%7Eroee/index.htm On it you can download an S-Plus function (under the downloads link) which calculates the false discovery rate threshold alpha level using stepup, stepdown, dependence methods etc. Some changes are required to the plotting code when porting it to R. I removed the

I am using grep to locate colnames to automate a report build and have run into a problem when a colname is not found. The use of integer(0) in a conditional statement seems to be a no no as it has length 0. Below is a self-contained trivial example. I would like to get something like "NA" or -1 for the position when it is not found OR learn a way to use integer(0) or some

Not sure if this is an R or BioC question so will cross-post. I cannot extract R code from vignettes because system.file("doc", "my.bioc.package") returns "". I got this code directly off of http://www.bioconductor.org/docs/vignettes.html. A specific example using siggenes follows but I have tested this using multiple packages, including those for which I can

I am posting this to both R and BioC communities because I believe there is a lot of confusion on this topic in both communities (having searched the mail archives of both) and I am hoping that someone will have information that can be shared with both communities. I have seen countless questions on the BioC list regarding limma (Bioconductor) and its calculation of FDR. Some of them involved