On May 11, 2013, at 9:21 AM, arun wrote:
> Hi,
> May be this helps:
>
> set.seed(24)
> mydata4<- as.data.frame(matrix(sample(1:100,10*38,replace=TRUE),ncol=38))
> dim(mydata4)
> #[1] 10 38
> library(matrixStats)
> res<-do.call(cbind,lapply(1:400, function(i) {permutation<-sample(mydata4);
> (rowMeans(permutation[,1:27])-rowMeans(permutation[,28:38]))/(rowSds(permutation[,1:27])+rowSds(permutation[,28:38]))}
> ))
> dim(res)
> #[1] 10 400
>
>
> A.K.
>
>> I want to do permutation test and then get a PGC score 400 times on mydata4
>> (microarray data)
>>
>> I use 2 functions as below:
>> 1. permutation<-sample(mydata4)
>> 2. PGC <- (rowMeans(permutation[ ,1:27]) - rowMeans(permutation[
> ,28:38]))/ (rowSds(permutation [,1:27]) + rowSds(permutation [,28:38]))
>>
>> What should I do to repeat these 2 functions in succession for
> 400 times and combine (cbind?) the 400 PGC score for the 7129 genes in
> one file?
Couldn't that just be:
fourPGCs <- replicate(400, { permutation<-sample(mydata4)
PGC <- (rowMeans(permutation[ ,1:27]) -
rowMeans( permutation[ ,28:38]))/
(rowSds( permutation [,1:27]) + rowSds( permutation [,28:38]))
}
--
David Winsemius
Alameda, CA, USA
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