similar to: R error- "more columns than column names"

Hi all! I am using GenABEL on R for GWAS analysis. I am having a couple of issues: First, I am having a problem reading files (.map, & .ped, size 900Mb, using windows 32-bit) onto R in the "convert.snp.ped" statement. I am thinking this problem is likely due to the large size of the files & my version of R is not able to handle them, since I can read in smaller files.

Dear All, Does anybody have experience with R package pbatR (http://cran.r-project.org/web/packages/pbatR/index.html)? I am trying to use it to analyze the family-based case-control data, but the package totally doesn?t work on my computer. I contacted the authors of the package, but I haven?t heard anything from them. Following the package manual, I tried the simple example as below:

Dear R developers: I am a PHD candidate student in the school of public health of Peking University and my major is genetic epidemiology. I am learning the FAM-MDR algorithm, which is used to detect the gene-gene and gene-environment interactions in the data of pedigree. The codes were written by Tom Cattaert of the University of Liege. The algorithms and the sample datasets are available at

What's the difference between: <em>emphasis</em> and <i>italicized</i> and <strong>strong</strong> and <b>bold</b> It seems to subtle for my browsers. The only "difference" I've been able to find is that according to the O'Reilly book <strong> and <emphasis> are semantic tags, while <b> and <i>

Hello, I have data in a dataframe with 139104 rows which is multiple of 96x1449. i have a phenotype file which contains the phenotype information for the 96 samples. the snp name is repeated 1449X96 samples. I haveto merge the two dataframes based on sid and sen. this is how my two dataframes look like dat<-data.frame(snpname=rep(letters[1:12],12),sid=rep(1:12,each=12),

Hello R Forum users, I was hoping someone could help me with the following problem. Consider the following "toy" dataset: Accession SNP_CRY2 SNP_FLC Phenotype 1 NA A 0.783143079 2 BQ A 0.881714811 3 BQ A 0.886619488 4 AQ B 0.416893034 5 AQ B 0.621392903 6 AS B 0.031719125 7 AS NA 0.652375037 "Accession"

Hi all! I am trying to install package - GenABEL in a Linux (RedHat) environment using R 2.6.2. The CRAN Mirror starts up, I select the site, but I end up with the following error: ****************************************************************** Warning: unable to access index for repository http://cran.stat.ucla.edu/src/contrib Warning messages: 1: In open.connection(con, "r") :

Hi, I had originally posted regarding an error when trying to install package - GenABEL - it has now become clear that R is not able to connect to the net. Below are a couple of things I've tried with the resulting errors I am running R 2.6.2 on Linux e15 X86 How can I fix this? Thank you! 1) download.file("http://www.nytimes.com", destfile<-tempfile()) Error: trying URL

Dear all, since yesterday, I have been experiencing problems with the package GenABEL. When I try to load the package (library(GenABEL)) I get the following error message: Loading required package: MASS Error : .onLoad failed in loadNamespace() for 'GenABEL', details: call: stringSplit[[1]] error: subscript out of bounds Error: package/namespace load failed for ?GenABEL? The funny

I have a few questions about GenABEL, gwaa data. 1) is there a universal way that most GenABEL people use to add more individuals into a 'gwaa' data? For example, I have a 'gwaa' data, but I need to add some dummy parents, for 'gwaa at phdata', it's easy to add these rows, but for 'gwaa at gtdata', I think I need to create SNP data as '0 0 0 0 0.....'

Dear Sir/Madam, Since a few day now I try to use the command "polygenic" from the GenAbel package. However, I keep bumping up against an error message: "Error in polygenic(Testo, kin = kinship, data = data1) : dimension of outcome and kinship.matrix do not match". My data exists of 1240 individuals with 74 markers. It mainly consists of small families (2 or more brothers,

Dear R users, Could you help my with the following problem? I want to repeat a glm analysis with 2 independent variables for all 900 variables (snps) in my data set. So, I want to check whether snp1 has a different effect on my outcome variable in patients and controls(phenotype). And repeat that for snp2 to snp900. Is there an easy way to get a summary of the data, e.g. a list of P values of all

Hi, I am fairly new to 'R' and would like advice on the following. I want to calculate a weekly average number of reports (e.g. of flu, norovirus) based on the same weeks for the last five years. I will then use this to plot a chart with 52 points for the average based on the last five years; another line will then plot the current year, enabling a comparison of current weekly counts

Hello all, I'm having difficulty with setting up a mixed model using lme in the nlme package. To summarize my study, I am testing for effects of ornamentation on foraging behavior of wolf spiders. I tested spiders at two different ages (penultimate vs. mature) and of two different phenotypes (one species tested lacks ornamentation throughout life [non-ornamented males] while the other

Dear R-experts, My problem is how to handle a 10GB data file containing genotype data. The file is in a particular format (Illumina final report) and needs to be altered and merged with phenotype data for further analysis. PERL seems to be an frequently used solution for this type of work, however I am inclined to think it should be doable with R. How do I open a text-file, line by line,

library(nlme) data(Phenobarb) na.include <- function(x)x phe1 <- nlme(conc~phenoModel(Subject, time, dose, lCl, lV), data = Phenobarb, fixed = lCl+lV~1, random= pdDiag(lCl+lV~1), start = c(-5,0), na.action = na.include, naPattern = ~!is.na(conc)) phe.ranef <- ranef(phe1,augFrame=TRUE) plot(phe.ranef, form=lCl~Wt+ApgarInd) [Error in max(length(x0),

I have a path: path = "/nfs/users/nfs_n/ns9/ Phenotype Analysis/Results/Run_AmplRatio_neg BinaryAll trained without akapn+tnik.csv" I wish to replace the spaces with "\ " so that it can be read by a system call to unix. Using gsub I try: > gsub(" ","\\ ",path) [1] "/nfs/users/nfs_n/ns9/Phenotype Analysis/Results/Run_AmplRatio_neg BinaryAll

Dear all,   I have data from the following experimental design and trying to fit a mixed model with lme function according to following steps but struggling. Any help is deeply appreciated.   1) Experimental design: I have 40 plants each of which has 4 clones. Each clone planted to one of 4 blocks. Phenotypes were collected from each clone for 3 consecutive years. I have genotypes of plants. I

Hoping someone can offer me some assistance. I'm trying to execute a script and I keep getting this error message about "Error: element 12 is empty". I'm wondering if my syntax is incorrect within legend.list. If anyone has any suggestions to sees something obvious that I am missing, I would greatly appreciate any help. Many Thanks, Patrick > # These are the symbols and

I have a full data set like this: aa bas aas bms ams bcu acu omega y 1 ALA 0 127.71 0 69.99 0 -0.2498560 79.91470 outward 2 PRO 0 68.55 0 55.44 0 -0.0949008 76.60380 outward 3 ALA 0 52.72 0 47.82 0 -0.0396550 52.19970 outward 4 PHE 0 22.62 0 31.21 0 0.1270330 169.52500 inward 5 SER 0 71.32 0 52.84 0 -0.1312380 7.47528 outward 6