similar to: Affy Package

Dear R users, I am using the beadarray package. I am trying to upload raw bead-level data using these commands: ######################################################## library(beadarray) datadir <- ("C:/Computer_programs/R/beadarray/cecilia") targets = read.table("targets.txt", sep = "\t", header = TRUE, as.is = TRUE) BLData = readIllumina(arrayNames =NULL,

In using the NLME package (R 2.6.1 for Windows), I am having a problem in running an R script that used to run with no problems using a Linux OS in 2004. So I am wondering if during these last ~3 yrs we had major changes in the syntax of the NLME package that I am not aware. This is the R script: library(nlme) treat=as.factor(c(1,2,1,2,1,2,1,2)) mouse=as.factor(c(1,1,2,2,3,3,4,4))

Hi!I'm doing a little data importing from .cel files, > setwd("/home/mandova/celfiles") > mydata<-ReadAffy() Error in sub("^/?([^/]*/)*", "", filenames, extended = TRUE) : unused argument(s) (extended = TRUE) Then I tried > filenames<-paste("GSM",c(seq(138597,138617,1)),".cel",sep="") >

Full_Name: Edward J. Oakeley Version: 1.7.1 OS: Windows XP Submission from: (NULL) (212.47.183.3) This bug occurs when using the (D)COM server to connect to the "expresso" command of the Bioconductor Affy package. It may be a bug of R, (D)COM or Affy ut I will report it here anyway as it feels like an R bug. The Affy package when invoked will read a series of large (10Mb) text files

Hi, I have a question concerning the analysis of some affymetrix chips. I downloaded some of the data from GEO GSE11324 (see below). In doing so I'm stuck after I identified the probesets with significant changes. I have problems in assigning probeset specific gene names as well as getting the genomic coordinates. Furthermore I have no clue how to deal with the fact, that most genes have

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

Hi, all; I know there has been a lot of discussions on memory usage in R. However, I have some odd situation here. Basically, I have a rare opportunity to run R in a system with 64GB memory without any limit on memory usage for any person or process. However, I encountered the memory problem error message like this: Error: cannot allocate vector of size 594075 Kb I got this error message while

Dear R-Help, I am using the function "topTable" from the LIMMA package. To estimate adjusted P-values there are several options (adjust="fdr" , adjust="BH") as shown below: topTable(fit, number = 10, adjust = "BH", fit$Name) I guess any of these options (fdr, BH, etc.) is using a default of FDR=0.05 which is quite conservative (i.e., very

Hi Martin, In using the Cluster Package, I have results for PAM and DIANA clustering algorithms (below "part" and "hier" objects): part <- pam(trout, bestk) # PAM results hier <- diana(trout) # DIANA results GeneNames <- show(RG$genes) # Gene Names are in this object But

Dear All, How to cite the PDF user's guide for the LIMMA package? This is not about how to cite the LIMMA package. Roger Roger L. Vallejo, Ph.D. Computational Biologist & Geneticist U.S. Department of Agriculture, ARS National Center for Cool & Cold Water Aquaculture 11861 Leetown Road Kearneysville, WV 25430 Voice: (304) 724-8340 Ext. 2141 Email: roger.vallejo@ars.usda.gov

Dear all, I am a PhD student working with Affymetrix HGU133atag array for analyzing the Latin square experiment. I was trying to generate gene expression index for hgu133atag array for PDNN model. While extracting the chiptype specific data structure, I got the following error- > library(affypdnn) Loading required package: affy Loading required package: Biobase Welcome to Bioconductor

Full_Name: Eric Libby Version: 2.1.1 OS: OS Tiger Submission from: (NULL) (65.93.158.117) I am trying to analyze microarray data of 42 human arrays. I typed in the following instructions: library(affy) Data <-ReadAffy() eset <- expresso(Data, normalize.method="invariantset", bg.correct=FALSE, pmcorrect.method="pmonly",summary.method="liwong") And I get some

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 <-

Hi all, I have a data.frame e3. I use a function on it: n3 <- normalize.qspline(x = e3, samples = 0.07, na.rm = TRUE); The resulting data.frame has lost it's row-names and column names. This is the natural behaviour of the function I am calling, and I can't alter that at the moment. However, the data *is* in the correct order, as it was initially -- the names are just missing in

Buenas tardes a tod@s, Estoy incursionando en el analisis de tweets utilizando el paquete twitteR y siguiendo http://www.webmining.cl/2012/07/text-mining-de-twitter-usando-r/ Desafortunadamente cuando ejecuto # cargar librerias library(twitteR) library(tm) library(wordcloud) # recolecta tweets de @camila_vallejo tweets = userTimeline("camila_vallejo", 2000) obtengo Error in

I've taken my RH7.1 system, rebuild kernel (2.4.9 with ext3 patches) and followed the ext3 instructions to install. Everything seems to work OK but - df -k doesn't list the ext3 partition (my root partition). Is this a known problem ? If not, how best can I gather diagnostics to identify the source of the problem ? Thanks -- Philip Nelson (teamdba@bojnice.com)

All, What would be the most efficient way to load the data at the following address into a dataframe? http://ratings.fide.com/top.phtml?list=men Thanks, David -- View this message in context: http://r.789695.n4.nabble.com/Loading-Chess-Data-tp4642006.html Sent from the R help mailing list archive at Nabble.com.

hi all, Am new to R. I am having problems installing Bioconductor package in R on fedora core 4 running on AMD64 bit machine. this is the error message I get : gcc -shared -L/usr/local/lib -o affyPLM.so avg_log.o biweight.o chipbackground.o common_types.o do_PLMrlm.o do_PLMrma.o do_PLMthreestep.o idealmismatch.o LESN.o lm.o lm_threestep.o log_avg.o matrix_functions.o

Dear R-Help, I am using the LIMMA User's Guide 5 January 2007 PDF version. For the example show in Section 7.4 DIRECT TWO-COLOR DESIGNS (pgs. 33-34), I could not grasp the rationale in developing the contrast.matrix with these R statements (">" indicates the R command prompt): > contrast.matrix <-

Hello useRs, I'm trying to install bioconductor on ubuntu edgy eft and R 2.4.0. I have some error messages during installation, in particular for the package "affy" : "Error: package 'affy' required by 'makecdfenv' could not be found" I have tryed to install 'makecdfenv' with the command : getBioC("makecdfenv") But I have this message