similar to: expression matrix

Hi, I want to change .RDA file to a text file. So I did as follows. >load("my.rda") >ls() ---> then it showed [1] exprs >write.table(exprs,"C:\\my.txt",sep="\t") I was successful with the first .RDA file. Then I used the same commands with another .RDA file (172 MB)which is 4 times bigger than the first file (41.2 MB). When I put the last command

Hello Everyone, I am writing programs in R from 7 months and I am able to solve most of the errors/issues except for this current post. My Task is to read a Microsoft Excel file(textE_to_affy.csv) which contains the Microarray Expression Values collected from the Illumina Microarray experiment. These collected intensity values need to be normalized(Rank Invariant Normalization) by using the R

Hi, I am having troubles with creating an eSet and would appreciate any help on the following problem. I am trying to create an eSet using the following code pd <- read.table(file="pdata.txt",header =TRUE,row.names=1); colnames(pd) <- c("type","tumor","time","id"); pdN <- list(type =

Running R2.4.0 on Apple Mac OS X 10.4.8, in Emacs ESS mode, and also R.app. In an attempt to learn a bit more about a particular method (geneNames in package affy) I invoked getMethods("geneNames") which produced geneNames methods, but not the one in affy (output below). I had to know the signature (AffyBatch) in order to find the method > getMethod("geneNames",

Hi list, I have a question about using *read.table()* to read in a txt file. Basically, it consists of 16346 rows, 6 columns (no header). The code I used is: exprSet <- read.table('process_all4_GSA2.txt', row.names = 1,header =FALSE) and I got an error message: > exprSet <- read.table('process_all4_GSA2.txt', row.names = 1,header =FALSE) Error in

Hi, Reading help("Documentation"), I'm led to believe that a help call like: ?myFun(x, sqrt(wt)) Will search for help on the appropriate method in the case that myFun is generic. This isn't working for me. Here is an example using the Biobase package: ## If Biobase is not installed source("http://bioconductor.org/biocLite.R") biocLite("Biobase")

I'm seeing weird issues in methods initialization, i.e. loading marrayClasses loads Biobase, and when explicitly done, as in library(Biobase) library(marrayClasses) is fine, but when Biobase is loaded via a require statement in marrayClasses' .First.Lib, I end up with: Warning message: In the method signature for function "coerce", class "exprSet" has no

Full_Name: Guy W. Tillinghast Version: 2.8.0 OS: Windows XP professional Submission from: (NULL) (24.248.24.3) I am encountering difficulty asking R to manipulate the correct columns in Expression Set class (object 4). I download the ALL data with: library(golubEsets) data(Golub_Merge) Note, the data has the samples not in order. This is not R's fault (at least not that I can tell): >

Hi! Is There a way to manually create an affybatch object from qPCR array data? -- View this message in context: http://r.789695.n4.nabble.com/Creating-affybatch-objects-from-matrix-data-from-qPCR-array-tp3921559p3921559.html Sent from the R help mailing list archive at Nabble.com.

Dear List, I have a data matrix that consists of ~4500 rows and 25 columns (i.e. an exprSet object that I converted via the 'exprs' function into a data matrix) Now I want to remove/delete the rows where all exp. values in that particular row are below or equal to a specific cut-off value (e.g 1.11) I have tried using several commands to address this issue: >Matrix[rowSums(Matrix

I am having trouble converting the output from Sweave into a valid PDF file. I have created a simple .Rnw file which will become a full vignette at some point, but during the intermediate testing, I got errors from texi2dvi. This is what I have done. 0) Using a Windows Xp system 1) Created a file called GeneSpring.Rnw 2) Convert this to Tex using Sweave("GeneSpring.Rnw") from within R

Dear R-helpers & bioconductor Sorry for cross-posting, this concerns R-programming stuff applied on Bioconductor context. Also sorry for this long message, I try to be complete in my request. I am trying to write a subset method for a specific class (ExpressionSet from Bioconductor) allowing selection more flexible than "[" method . The schema I am thinking for is the following:

Hi, I am supposed to use exprs as a function. Where can i download exprs function? I tried searching at bioconductor and seach engine but no luck. Is it located in one of the library in R? thanks. C -- View this message in context: http://www.nabble.com/exprs-function-download-tp15654560p15654560.html Sent from the R help mailing list archive at Nabble.com.

Martin Maechler has suggested that I post this comment to r-devel. It was originally posted to bioconductor. --------------------------------- I'd like to raise the issue of a capitalization convention for naming objects in R. Almost everything in R used to be lowercase but recently there is increasing use of mixed upper/lower case to define names. There is potential for using the

Full_Name: Colin A. Smith Version: 1.8.0 OS: Mac OS X 10.2.6 Submission from: (NULL) (216.102.90.18) Both Biobase and my package annaffy use S4 classes to define methods for "[". Both packages use the save image method of installation. (See annaffy 1.0.3 in BioC CVS.) Depending on how both packages are loaded, the Biobase definitions seem to be getting masked out: >

Hey, I have code that can check the quality of a data set we're working with (expression data), and I'm having some trouble writing code that would make the expression data we have tie to other data we want to link it to (called phenotype data). Does anyone have any advice on how I could make a single object that would do this? Other relevant info: I want to use the pdata() function,

Hello: Is there a way to get a mean from values stored in different rows? The data looks like this: YEAR-1, JAN, FEB, ..., DEC YEAR-2, JAN, FEB, ..., DEC YEAR-3, JAN, FEB, ..., DEC What I want is the mean(s) for just the consecutive winter months: YEAR-1.DEC, YEAR-2.JAN, YEAR-2.FEB YEAR-2.DEC, YEAR-3.JAN, YEAR-3.FEB etc. Thanks.

Hi, I am using SAM (from siggenes_1.2.11 package) method to select genes from a microarray data set. After installing the latest R2.4.0 on my computer, to my surprise the results are totally different from that calculated using R2.1.1. Even the example code doesn't work the same way under these two versions of R. Does anybody know what is going on? Thanks for any suggestions.

Hello, I am using the following code to plot an MVA plot. library(affy) library(Biobase) library(limma) library(gcrma) pd<-read.phenoData("Clk.targets.2.txt",header=TRUE, row.names=1,as.is=TRUE,sep="\t") Data <- ReadAffy(filenames=pData(pd)$FileName,phenoData=pd) Print(Data) eset <- gcrma(Data) write.exprs(eset,

Hi all,   I have loaded the LIMMA and Biobase package and tried these commands:   library(limma) library("Biobase") data <- read.table("c:/temp/data.txt",header=T,row.names=1) ExpressionData <- as.matrix(data[,c(2,3,4,6,7,8)]) eset <- new("ExpressionSet", exprs = ExpressionData) design <- cbind(WT=1,P=c(0,1,1,0,1,1),G=c(0,1,0,0,1,0)) fit <-