Dear all, I'm trying to optimize code and want to avoid for-loops as much as possible. I'm applying a calculation on subvectors from a big one, and I get the subvectors by using a vector of starting positions:
x <- 1:10 pos <- c(1,4,7) n <- length(x) I try to do something like this : pos2 <- c(pos, n+1) out <- c() for(i in 1:n){ tmp <- x[pos2[i]:pos2[i+1]] out <- c(out, length(tmp)) } Never mind the length function, I apply a far more complicated one. It's about the use of the indices in the for-loop. I didn't see any way of doing that with an apply, unless there is a very convenient way of splitting my vector in a list of the subvectors or so. Anybody an idea? Cheers -- Joris Meys Statistical Consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control Coupure Links 653 B-9000 Gent tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php [[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.