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Dear R-help Hi, I'm Won. I try to do microarray normalization by R. I use justRMA function within affy package, got error about segment fault. I don't know why it happen. I attached error below. Please help me. Thank you. Cheers, Won ======================= OS : Redhat linux Cpu : intel xeon X5570 Memory : 26Gb & OS : Ubuntu Cpu : intel q6600 Memory : 8Gb

Hi, I have a set of genes and its chromosomal physical position in a text file. I want to view those genes in the chromosome using R package GenePlotter. Could any one please tell how to view this. Thanks in advance. Yours sincerely, S.Mahalakshmi [[alternative HTML version deleted]]

Hi there, I got a problem when trying to read in a .cel file using ReadAffy(). R codes: require(affy) ReadAffy(filenames="CH1.CEL") It failed and I got the error, Error in read.celfile.header(as.character(filenames[[1]])) : Is CH1.CEL really a CEL file? tried reading as text, gzipped text, binary, gzipped binary, command console and gzipped command console formats Also, I tried

Hi, While trying to install hgu133acdf- windows package in R im getting the following error and unable to install the same. > source("http://bioconductor.org/biocLite.R") > biocLite("hgu133acdf") Using R version 2.10.0, biocinstall version 2.5.10. Installing Bioconductor version 2.5 packages: [1] "hgu133acdf" Please wait... trying URL '

Hello all, I am trying to use "clim.pact" package for my work, but since this is the beginning for me to use gridded datasets in "R", I am having some trouble. I want to do seasonal analyses like trends, anomalies, variograms, EOF and probably kriging too to downscale my 1 degree gridded data to 0.5.  So, as a first step, I compiled my entire dataset (with 25

Hello, After running R CMD check on my package I received the following error on package dependencies: * using log directory 'C:/z-zBackup/Nuvera Bio on Iatros01/Development/RPackages/nvNormalize/nvNormalize.Rcheck' * using R version 2.9.1 (2009-06-26) * using session charset: ISO8859-1 * checking for file 'nvNormalize/DESCRIPTION' ... OK * checking extension type ... Package *

Hello, I'm very new in working with tcl/tk in R and have a problem which will probably sound silly to most of you. Here is the code I have problems with: readcelfiles <- function() { require(tcltk) tt <- tktoplevel() tkgrid(tklabel(tt,text="Choose a directory!")) OnOK <- function() { fileDir<-tclvalue(tkchooseDirectory()) data.raw <-

Hey, I just googled my error and many things came up. I followed the leads and read the ?read.delim page; I tried changing header = TRUE, and row.names = TRUE-- but I've still been having trouble fixing it, so I would greatly appreciate any help you can provide. Here is my code: rm(list=ls()) source("../../functions.R") uncurated <-

Hey, Is there any way to play IVR and Read DTMF during active call. Call Flow: ? ?? USER1(initiator)? <-----> Asterisk1 <-----> Asterisk2 <-----> ?? USER2 How I can Play IVR and Read DTMF from USER1 When both users are in active session. I am able to play IVR and Read DTMF from USER2, which is not required, When Asterisk2 Receives call from Asterisk1, it simply

I am trying to preprocess a large dataset of affymetrix data. Creating an affybatch is not possible with the computer I am running it on, so I have used the justRMA command to run RMA. I have read the affy document describing the justRMA command and the help documentation but I am unclear as to whether this command uses median polish after normalization. I assume this is the case but would like

hi all i started recently using R and i found myself stuck when i try to analyze microarray data. i use the "affy" package to obtain the intensities of the probes, i have two CTRs and two treated. HG.U133A.Experiment1.CEL HG.U133A.Experiment2.CEL HG.U133A_Control1.CEL HG.U133A_Control2.CEL 1007_s_at 2156.23115 467.75615 364.60615 362.11865

The Bioconductor core group would like to announce the 1.3 release of the Bioconductor software. There are many new packages as well as several major upgrades and fixes in older packages, and users are encouraged to check them out. Release 1.3 is intended to be operated with R version 1.8.X, which can be obtained at CRAN (http://cran.r-project.org/) -- WHAT FEATURES DOES THIS RELEASE PROVIDE?

The Bioconductor core group would like to announce the 1.3 release of the Bioconductor software. There are many new packages as well as several major upgrades and fixes in older packages, and users are encouraged to check them out. Release 1.3 is intended to be operated with R version 1.8.X, which can be obtained at CRAN (http://cran.r-project.org/) -- WHAT FEATURES DOES THIS RELEASE PROVIDE?

I have over 300 variables in my table. I want to choose only a handful of those variables to run through many procedures. Lm(), glm() etc..i have over 10 procedures that i need to run those variables everytime. Those handful of variables can change everytime if output is satisfactory or not. I have done this in SAS. Now i need to know how to do this in R. Any help or even if someone can point to

Dear Community, I am very new to the world of Linux and R and I have stumbled upon a problem that I cannot seem to resolve on my own. Here is the relevant background: I am working on a 64-bit Linux Fedora Core 6 OS. I using R version 2.5.1. I have 3.8 Gb of RAM and 1.9 Gb of swap. As I see it, there are no restraints on the amount of memory that R can use imposed by this particular OS build.

Happy new year to all; A few days ago, I posted similar problem. At that time, I found out that our R program had been 32-bit compiled, not 64-bit compiled. So the R program has been re-installed in 64-bit and run the same job, reading in 150 Affymetrix U133A v2 CEL files and perform dChip processing. However, the memory problem happened again. Since the amount of physical memory is 64GB, I think

Hello. By way of background, I am running out of memory when attempting to normalize the data from 160 affymetrix microarrays using justRMA (from the affy package). This is despite making 6 gigabytes of swap space available on our sgi irix machine (which has 2 gigabytes of ram). I have seen in various discussions statements such as "you will need at least 6 gigabytes of memory to normalize

Hi.... I have a question about how to increase my memory size, could someone answer it for me?? I am using Bioconductor in R to calculate gene expression values with mas5, dchip, and mas4. I have only 18 samples, all from Affymetrix U133A Plus 2 arrays, which has ~54,000 genes. My machine equipments are: CPU P4 3.0GHz, and 1GM RAM. Somehow when I was running mas5 in R, it always showed the error

Hello, I want to use expresso for preprocessing the hgu133a-spikein data from affycompII. But there is an error: > library(affy) > path <- "z:/Microarray/hgu133a-spikein/rawdata" > celFile <- list.celfiles(path=path,full.names=TRUE); > affyBatch <- ReadAffy(filenames=celFile[1:6]); > eset1 <-

Hello! When I use the functions rma() or justrma() in the Bioconductor affy package, the standard errors for the expression estimates computed by the function se.exprs() is a matrix of NA's. I am wondering if any of you have encountered this problem and if there is a solution. Any help would be appreciated. Thanks, Karthik. [[alternative HTML version deleted]]