Bert, this is not helpful. Since for loops and apply functions are not vectorized, why are you admonishing Carl that vectorizing doesn't always speed up algorithms? He didn't reference apply functions as being vectorized. But you seem to be doing so.
I would assert that vectorizing DOES always speed up algorithms, but things people sometimes think are vectorizing are not really. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. Bert Gunter <gunter.ber...@gene.com> wrote: Carl: "Almost anything you can do in a for() loop can be done easier and faster with vectorization.-- " That is false: while this is certainly true for a great many basic vectorized operations, it is certainly false for most other things -- simulations are a typical example. Note that __ply type operations in base R, plyr , and other packages are (generally) _not_vectorized; they are "disguised" loops. Explicit for() loops are often just as fast or even a bit faster, though many of us prefer what we consider the more transparent functional style code of the __ply's. Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm [[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. [[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.
