Dear all, I am currently working on a function in which I would like to avoid using the command sample().
Therefore, I am now trying to make a for loop that does the same thing as the in built function sample does: Rearranging the items of a object randomly. So, the output I want to you get is the same as sample() would give me: e.g.: data <- c(5,4,6,7,8) sample(data) > data <- c(5,4,6,7,8) > sample(data) [1] 4 6 7 8 5 > sample(data) [1] 6 8 4 7 5 > sample(data) [1] 6 5 4 8 7 Herefore I made a for loop which you can see here: This for loop is supposed to do the same as the sample() function, 3 times. data <- c(5,4,6,7,8) numsim <- 3 n <- length(data) sample <- matrix(0,numsim,1) for (i in 1:numsim) {indices <- runif(pool, min = 1, max = n) sample[i,] <- data[indices] } the idea behind this for loop is dat it first creates randomly data by runif, and then it should somehow, by using indeces, store this 3 times in a matrix 'sample'. Somehow, I am stuck here and I think that the sample[,i] part is just very wrong. I am however not for a very long time an R user, so I cannot find the solution to this problem. Can someone give me a hint? Thanks very much! Bye, sarah -- View this message in context: http://r.789695.n4.nabble.com/avoiding-the-sample-in-built-function-tp4101039p4101039.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.