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.