It looks to me like you keep sampling from some dataset 's' 10,000
times. Since you can sample() with replacement, I wonder if you could
just take a sample of the size you want, rather than using a loop with
sample. Perhaps along these lines:
d <- apply(s, 2, sample, size = 10000*nrow(s), replace = TRUE)
pos_neg_tem <- t(apply(d,1,doit))
Josh
On Tue, Jul 27, 2010 at 3:44 PM, jd6688 <jdsignat...@gmail.com> wrote:
>
> I am trying to do the following to accomplish the tasks, can anybody to
> simplify the solutions.
>
> Thanks,
>
> for (i in 1:10000){
> d<-apply(s,2,sample)
> pos_neg_tem<-t(apply(d,1,doit))
> if (i>1){
> pos_neg_pool<-rbind(pos_neg_pool,pos_neg_tem)
>
> }else{
>
> pos_neg_pool<- pos_neg_tem
> }}
> --
> View this message in context:
> http://r.789695.n4.nabble.com/re-sampling-of-large-sacle-data-tp2304165p2304221.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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>
--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://www.joshuawiley.com/
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