Could you elaborate? Both
x <- 1:40000 set <- matrix(nrow = 50, ncol = 11) for(i in c(1:11)){ set[,i] <-sample(x,50) print(c(i,"->", set), quote = FALSE) } and x <- 1:40000 set <- matrix(nrow = 50, ncol = 11) for(i in c(1:50)){ set[i,] <-sample(x,11) print(c(i,"->", set), quote = FALSE) } run perfectly fine on my computer. Cheers On Fri, Jul 9, 2010 at 3:10 PM, Assa Yeroslaviz <fry...@gmail.com> wrote: > Hi Joris, > I guess i did it wrong again. > but your example didn't work either. I still get the error massage. > > but replicate function just fine. I can even replicate the whole array > lines. > > THX > > Assa > > On Thu, Jul 8, 2010 at 15:20, Joris Meys <jorism...@gmail.com> wrote: >> >> Don't know what exactly you're trying to do, but you make a matrix >> with 11 columns and 50 rows, then treat it as a vector. On top of >> that, you try to fill 50 rows/columns with 50 values. Off course that >> doesn't work. Did you check the warning messages when running the >> code? >> >> Either do : >> >> for(i in c(1:11)){ >> set[,i] <-sample(x,50) >> print(c(i,"->", set), quote = FALSE) >> } >> >> or >> >> for(i in c(1:50)){ >> set[i,] <-sample(x,11) >> print(c(i,"->", set), quote = FALSE) >> } >> >> Or just forget about the loop altogether and do : >> >> set <- replicate(11,sample(x,50)) >> or >> set <- t(replicate(50,sample(x,11))) >> >> cheers >> >> On Thu, Jul 8, 2010 at 8:04 AM, Assa Yeroslaviz <fry...@gmail.com> wrote: >> > Hello R users, >> > >> > I'm trying to extract random samples from a big array I have. >> > >> > I have a data frame of over 40k lines and would like to produce around >> > 50 >> > random sample of around 200 lines each from this array. >> > >> > this is the matrix >> > ID xxx_1c xxx__2c xxx__3c xxx__4c xxx__5T xxx__6T xxx__7T >> > xxx__8T >> > yyy_1c yyy_1c _2c >> > 1 A_512 2.150295 2.681759 2.177138 2.142790 2.115344 2.013047 >> > 2.115634 2.189372 1.643328 1.563523 >> > 2 A_134 12.832488 12.596373 12.882581 12.987091 11.956149 11.994779 >> > 11.650336 11.995504 13.024494 12.776322 >> > 3 A_152 2.063276 2.160961 2.067549 2.059732 2.656416 2.075775 >> > 2.033982 2.111937 1.606340 1.548940 >> > 4 A_163 9.570761 10.448615 9.432859 9.732615 10.354234 10.993279 >> > 9.160038 9.104121 10.079177 9.828757 >> > 5 A_184 3.574271 4.680859 4.517047 4.047096 3.623668 3.021356 >> > 3.559434 3.156093 4.308437 4.045098 >> > 6 A_199 7.593952 7.454087 7.513013 7.449552 7.345718 7.367068 >> > 7.410085 7.022582 7.668616 7.953706 >> > ... >> > >> > I tried to do it with a for loop: >> > >> > genelist <- read.delim("/user/R/raw_data.txt") >> > rownames(genelist) <- genelist[,1] >> > genes <- rownames(genelist) >> > >> > x <- 1:40000 >> > set <- matrix(nrow = 50, ncol = 11) >> > >> > for(i in c(1:50)){ >> > set[i] <-sample(x,50) >> > print(c(i,"->", set), quote = FALSE) >> > } >> > >> > which basically do the trick, but I just can't save the results outside >> > the >> > loop. >> > After having the random sets of lines it wasn't a problem to extract the >> > line from the arrays using subset. >> > >> > genSet1 <-sample(x,50) >> > random1 <- genes %in% genSet1 >> > subsetGenelist <- subset(genelist, random1) >> > >> > >> > is there a different way of creating these random vectors or saving the >> > loop >> > results outside tjhe loop so I cn work with them? >> > >> > Thanks a lot >> > >> > Assa >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > R-help@r-project.org mailing list >> > https://stat.ethz.ch/mailman/listinfo/r-help >> > PLEASE do read the posting guide >> > http://www.R-project.org/posting-guide.html >> > and provide commented, minimal, self-contained, reproducible code. >> > >> >> >> >> -- >> Joris Meys >> Statistical consultant >> >> Ghent University >> Faculty of Bioscience Engineering >> Department of Applied mathematics, biometrics and process control >> >> tel : +32 9 264 59 87 >> joris.m...@ugent.be >> ------------------------------- >> Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php > > -- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.