Hello, I'm doing bootstrap in R 2.4.1 in order to compute standard errors of an estimator. I'm running the same program on 4 computers. The core of the program is a nlm minimization of a function, which is (I believe) nicely coded using (t)apply and all the vectorized stuff.
I'm slightly puzzled by the differences in the speed of computation. The program works twice as fast on a two years old Celeron (256 MB, running Ubuntu Dapper Linux) than on a P4 (1GB, Windows 2000 + Novell) and the speed of that Celeron is comparable with an other P4 (1GB, Ubuntu Feisty Linux). In general (outside R, text editing, whatever), the Celeron is much slower than any of the two P4. Is there any reason for this ? Is R better optimized for Linux ? Some options I might have used when installing R on one of the Linuxes and not on the other one ? Thanks for an answer. David Vonka ______________________________________________ [email protected] 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.
