similar to: trouble in call of "texteval"

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

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)

dear all, I have a problem with a masked object in a package we created here. we make a package for a workflow of internal analysis of microarray data. to create the package we used: > install.packages(pkgs="affyAnalysis", repos=NULL) > R CMD INSTALL affyAnalysis Erzeuge Verzeichnisse ... Erzeuge DESCRIPTION ... Erzeuge NAMESPACE ... Erzeuge Read-and-delete-me ... Kopiere

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

I'd like to capture the results of a print() command so that I can put the results in a tktext widget. I know I can redirect the output to a file with sink. I'm looking for something like that, but where I can redirect the output into a variable. Is there a way to do that? Mike -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

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

I found a very odd thing. A matrix multiplied by its inverse matrix should be an identity matrix. But why the following thing happens? <a%*%solve(a) is not an identity matrix> > x%*%t(x) [,1] [,2] [,3] [,4] [,5] [1,] 108.16 58.24 32.24 66.56 225.68 [2,] 58.24 31.36 17.36 35.84 121.52 [3,] 32.24 17.36 9.61 19.84 67.27 [4,] 66.56 35.84 19.84 40.96 138.88 [5,]