Not sure if these are any better but here are a few alternatives: rawdata / rep(sens, each = nrow(rawdata))
as.data.frame(mapply("/", rawdata, sens)) as.data.frame(as.matrix(rawdata) %*% diag(1/sens)) On Sat, Mar 22, 2008 at 10:21 AM, Tribo Laboy <[EMAIL PROTECTED]> wrote: > Hello, > > I am importing some raw voltage multichannel measurements into an R > data frame. I need to scale each column with the respective > sensitivity for that channel. I figured how to do it, but I am curious > if there isn't a more elegant way. > > Now I start with something like this: > > rawdata <- data.frame(rbind(c(1,2,3), c(4,5,6))) > sens <- c(2,4,6) > > > and I do this: > data <- as.data.frame(t(t(rawdata)/sens)) > > Any suggestions? > > Cheers, > > TL > > ______________________________________________ > 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. > ______________________________________________ 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.