search for: expdata

...ta),length(linkFunctionsVector) ) ) +   for(idexpr in 1: length(linkFunctionsVector)) { +   if(linkFunctionsVector[idexpr] == "1"){ EvalData[,idexpr] = rep(1,nrow(Data))} +   else{  texteval(paste("EvalData[,idexpr] =", linkFunctionsVector[idexpr]), echo = TRUE)} +   } +   +   ExpData = NULL +   for(idpar in 1: numPar){ +   ExpData = cbind(ExpData, EvalData) +   } +   colnames(ExpData) = rep(linkFunctionsVector,numPar) +   return(ExpData) + } > > # defining the parameters "Data", "linkFunctionsVector",  and "numPar" > > numPar = 2 >...

Hi, I know this question has been asked before but I have not seen an answer pertaining to repeated measures anovas. I got a simple data set with two factors: block (3 levels) and prime (2 levels). The dataset (expData) are stuctured so one column (block) states which block a trial is in and one column (prime) states which prime was used in the trial, another column (RT) states reation time for that trial and finally a column (subject) states subject number (there are 10 trials in each condition and 30 subjects s...

...preprocess The following object(s) are masked from package:stats : resid, residuals, weights The preprocess command in the affyPLM package needs an affybatch object to work with. our preprocess is as such definiert: preprocess <- function(x,...) UseMethod("preprocessExpData") preprocessExpData.expData <- function(data){ require("vsn") data <- list(ExpressionSet=vsnrma(data$AffyBatch), baseDir=data$baseDir,experimentName=data$experimentName, pData=pData(data$AffyBatch)) class(data) <- c("expSet","list") return...

I calculate an anova test in the following way: expdata<-read.table("/home/dorien/UA/meta-music/optimuse/optimuse1-build-desktop/results/results_processedCP", header=TRUE) names(expdata)<-c('nh1','nh2','nh3','randsize','aweights','tt1','tt2','tt3','path','iters&...

Hello there, I’m computing the total value of an order from the price of the order items using a “for” loop and the “ifelse” function. I do this on a large dataframe (close to 1m lines). The computation of this function is painfully slow: in 1min only about 90 rows are calculated. The computation time taken for a given number of rows increases with the size of the dataset, see the example with

Dear all, I am currently analyzing a set of arrays hybe on the lattest affy Drosophila 2.0 GeneChip. I am trying to run simple annaffy analysis but can¹t find what is the name of the annotation file I need to use. Here is the output of the AffyBatch object I am using: > expData AffyBatch object size of arrays=732x732 features (16749 kb) cdf=Drosophila_2 (18952 affyids) number of samples=4 number of genes=18952 annotation=drosophila2 So when I try to use and annaffy procedure I get: >Symbol = aafSymbol(geneIDs, "drosophila2") [1] "You are missing drosop...