dear R wizards: I have a large data frame, a million rows, 40 columns. In this data frame, there are some (about 100,000) rows which I want to recompute (update), while I want to leave others just as is. this is based on a condition that I need to compute, based on what is in a few of the columns. what is the right R way to do this?
I could subset out the rows that I want to recompute into a new data frame (A), subset out the rows I don't want to recompute (B), operate on the first data frame (A), then rbind the two (A and B) back together and resort into original order. is this the recommended way? sincerely, /iaw ---- Ivo Welch (ivo.we...@gmail.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.
