1) extract relevant observations to a new data frame. Either of these two commands works. filter(df, age > 24) df[df$age > 24, ] 2) sample the new data frame df[sample(nrow(df), 10, replace = TRUE), ] change TRUE to FALSE if you do not want replacement.
Tim -----Original Message----- From: R-help <r-help-boun...@r-project.org> On Behalf Of Brian Smith Sent: Monday, April 14, 2025 7:27 AM To: r-help@r-project.org Subject: [R] Drawing a sample based on certain condition [External Email] Hi, For my analytical work, I need to draw a sample of certain sample size from a denied population, where population members are marked by non-negative integers, such that sum of sample members if fixed. For example, Population = 0:100 Sample_size = 10 Sample_Sum = 20 Under this setup if my sample members are X1, X2, ..., X10 then I should have X1+X2+...+X10 = 20 Sample drawing scheme may be with/without replacement Is there any R function to achieve this? One possibility is to employ naive trial-error approach, but this doesnt seem to be practical as it would take long time to get the final sample with desired properties. Any pointer would be greatly appreciated. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.