[R] R code for performance

[Eric Lecoutre]

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
> 
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