similar to: FOR loop with statistical analysis for microarray data

https://bugzilla.netfilter.org/bugzilla/show_bug.cgi?id=437 Summary: restore can segfaults when restoring corrupt policy counters Product: iptables Version: unspecified Platform: All OS/Version: All Status: NEW Severity: normal Priority: P2 Component: iptables-restore

Hi Friends, I'm trying to model the consumer decisions (Click-Through Rate and Conversion) in Search Engine Advertising using a hierarchical Bayesian binary logit. The input data is the weekly CTRs and Avg. Position for each search keyword. CTR is modeled as (for each keyword i and week j): Pij = exp(C + Bi x Positionij + A1 x Lengthi + A2 x Brandi + A3 x ProductSpecifici) / [1 + exp(C +

hell all: I have a vector as follows: > head(res) 1007_s_at.value 1053_at.value 117_at.value 121_at.value 1255_g_at.value 0.225801033 0.009747404 0.709517954 0.008825740 0.496859178 1294_at.value 0.005091231 after I convert the res into a data frame I got the following: resx<- data.frame(res) > head(resx) res

Hi, I have the following function: > kurtosis <-function(x) (mean((x-mean(x))^4))/(sd(x)^4) #x is a vector and data > print(mydata) V1 V2 V3 V4 V5 1 1007_s_at DDR1 2865.1 2901.3 1978.3 2 1053_at RFC2 103.6 81.6 108.0 3

Dear mailing list, I have a C function that gives me a wrong result when I run it under Windows 7. This is the code under Linux (RHEL5): > library(phenoTest) > data(epheno) > sign <- sample(featureNames(epheno))[1:20] > score <- getFc(epheno)[,1] > head(score) 1007_s_at 1053_at 117_at 121_at 1255_g_at 1294_at -1.183019 1.113544 1.186186 -1.034779 -1.044456

Hi Everyone, I am very new to R. When i run the code yesterday, it was working fine. I was able to find gene annotation. somehow, today, when i try to run it again, it is giving me errors message that i don't understand. It says that it cannot open file. what file is it looking for? ###################################################### ##make sure to install and load annotationtool in R

From: Frediano Ziglio <frediano.ziglio@citrix.com> Split coverage informations extracted from xencov utility. This script accept coverage blob either as file or from input and extract into files compatible with gcc format (gcda). Signed-off-by: Frediano Ziglio <frediano.ziglio@citrix.com> --- tools/misc/Makefile | 2 +- tools/misc/xencov_split | 191

Hi all , I have one query. i have list of some .cel files. in my program i have to mention the path of these .cel files part of my program is, rna.data<-exprs(justRMA(filenames=file.names, celfile.path=*datadir*, sampleNames=sample.names, phenoData=pheno.data, cdfname=cleancdfname(hg18_Affymetrix U133A))) in the place of "datadir" i have to mention the character string of the

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, Sorry for the question, I know it should be basic knowledge but I'm struggling for two hours now. How do I select only the first entry of each list member and ignore the rest? So for > $"121_at" > -113691170 > $"1255_g_at" > 42231151 > $"1316_at" > 35472685 35472588 > $"1320_at" > -88003869

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.... 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

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

I am trying to upload into R 143 Affymetrix chips onto using R on the NIH Nimbus server. I can load 10 chips without a problem, however, when I try to load 143 I receive a error message: cannot create a vector of 523263 KB. I have expanded the memory of R as follows: R --min-vsize=10M --max-vsize=2500M --min-nsize=10M -max-nsize=50M (as specified in help in R). After running this command the

Hi, i have two files (file1.txt and file2.txt) which i would like to merge, based on certain criteria, i.e. it combines data based on matching geneID and exons. i have used the merge option, but it does not give me the desired outcome. merged.txt shows the result i would like. *File1. txt* ** AffyProbe ProbeType Flag GeneSymbol GeneID Exons Chrom Strand Affytart AffyEnd 1

Hi, i have two files (file1.txt and file2.txt) which i would like to merge, based on certain criteria, i.e. it combines data based on matching geneID and exons. i have used the merge option, but it does not give me the desired outcome. merged.txt shows the result i would like. *File1. txt* ** AffyProbe ProbeType Flag GeneSymbol GeneID Exons Chrom Strand Affytart AffyEnd 1

Hi all, I originally posted this to the bioconductor group, but maybe it's better suited to the r-help... I'm using som() to partition samples of gene expression data into clusters. The point is to classify control vs. experimental cases (sample clustering). The original matrix was 22283 x 8. The 8 samples have 4 controls and 4 experimentals. I transposed the matrix so that its dim