Thanks guys for all the replies. "It is an urban myth that using 'apply' functions will deliver better performance than 'for' loops. It may even worsen performance or create obstacles when it is improperly used with dataframes. Most of the benefits come from improving readability and maintainability."
This is what I had to learn the "hard way": apply functions made it go slower :) I do understand them much better now, also in the light of some of these ways of using them. In the end my program became much faster by making the data frames matrices, and even more by finally seeing the "light" (courtesy of a colleague for getting me to think in the right direction) and making much more of it into a matrix operation. I'm very happy with the results :). So consider me helped! Regards, Mark -- View this message in context: http://r.789695.n4.nabble.com/row-col-function-but-for-a-list-probably-very-easy-question-cannot-seem-to-find-it-though-tp4504216p4508816.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.
