On 11-01-22 14:56, Marc Jekel wrote:
I have the opportunity to buy a new computer for my simulations in R. My goal is to get the execution of R code as fast as possible. I know that the number of cores and the working memory capacity are crucial for computer performance but maybe someone has experience/knowledge which comp specifications are especially crucial (especially in relation to R). Is there any knowledge on the performance of R for different operating systems (Linux, Win, Mac etc.) resp. is performance dependent on the operating system at all? Even small differences in performance (i.e., speed of calculations) matter for me (quite large datasets + repeated calculations etc.).
Not really a recommendation, just my considerations: That depends on your budget, Mac Pro (5k$ in the U.S.) would probably serve your needs for a long time ;-). I am running R 2.12.0 on a MacBook Pro, 2.4 Dual Core with (only) 2G ram, together with (paid) TextMate as editor, and Sweave. 2G ram is few! And I noted remarkable improvements whan I was lucky to use a MBP Intel Core i5 for a couple of days. Whatever processor and memory, I like the easy interplay between R and the Unix environment (things like passing shell commands from R to my system or other interpreters), easy graphics etc.
If that helps a bit ... -- Sascha Vieweg, saschav...@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.
