At office I'm cautiously introducing R to be used as the basic statistical program, getting rid of licensed stuff or reducing the amount of it. The aim of R would be to run generic statistical programs built & "consumed" when needed and some static procedure dealing with time-series. Now, we have substantially 3 OS platforms, win xp, linux and freebsd 5.4, on similar PCs (pentium 4, 2-2.5 GHz). I have been asked by the boss to test the "average" performance (in term of speed and memory use) of R on each of this platform to stick with one of them on a couple of PCs. Could you please suggest an R source code (apart from the "static procedure" I will obviously test) to be run on the three platforms to test performance? If there is nothing of the kind, any suggestion? Ciao Vittorio
You could use the benchmark created by Philippe Grosjean to compare various statistical packages. You will find it at: http://www.sciviews.org/benchmark/ Note that you have to ensure to have installed packages: Matrix and SuppDist HTH, Eric Eric Lecoutre UCL / Institut de Statistique Voie du Roman Pays, 20 1348 Louvain-la-Neuve Belgium tel: (+32)(0)10473050 lecoutre at stat.ucl.ac.be http://www.stat.ucl.ac.be/ISpersonnel/lecoutre If the statistics are boring, then you've got the wrong numbers. -Edward Tufte> -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of > v.demartino2 at virgilio.it > Sent: lundi 6 juin 2005 10:10 > To: r-help > Subject: [R] R code for performance > > > At office I'm cautiously introducing R to be used as the > basic statistical program, getting rid of licensed stuff or > reducing the amount of it. The aim of R would be to run > generic statistical programs built & "consumed" when needed > and some static procedure dealing with time-series. Now, we > have substantially 3 OS platforms, win xp, linux and freebsd > 5.4, on similar PCs (pentium 4, 2-2.5 GHz). I have been asked > by the boss to test the "average" performance (in term of > speed and memory use) of R on each of this platform to stick > with one of them on a couple of PCs. > > Could you please suggest an R source code (apart from the > "static procedure" I will obviously test) to be run on the > three platforms to test performance? > > If there is nothing of the kind, any suggestion? > > Ciao > Vittorio > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html >
On Mon, 6 Jun 2005 v.demartino2 at virgilio.it wrote:> At office I'm cautiously introducing R to be used as the basic statistical > program, getting rid of licensed stuff or reducing the amount of it. > The aim of R would be to run generic statistical programs built & "consumed" > when needed and some static procedure dealing with time-series. > Now, we have substantially 3 OS platforms, win xp, linux and freebsd 5.4, > on similar PCs (pentium 4, 2-2.5 GHz). I have been asked by the boss to > test the "average" performance (in term of speed and memory use) of R on > each of this platform to stick with one of them on a couple of PCs. > > Could you please suggest an R source code (apart from the "static procedure" > I will obviously test) to be run on the three platforms to test performance? > > If there is nothing of the kind, any suggestion?'make check' runs a lot of R code and times it. The tests for the stats package look most relevant to you. Beware of simplistic 'benchmarks' that test code snippets not relevant to your usage (and that may apply to the R examples which tend to be small datasets). We know Linux (non-R-shlib) outperforms Windows XP by ca 20%, and some comments I have seen here suggest it outperforms FreeBSD as well. But are such differences enough to determine your choice? -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595