[R] How to write efficient R code

[Prof Brian Ripley]

`S Programming' (see the FAQ) has a whole chapter with case studies.
Beware that what is efficient under one version of S is not necessarily so 
under another, and that applies to R today vs R in 1999 (when those 
examples were done).  However, the general principles are good for all 
time.

On Tue, 17 Feb 2004 Lennart.Borgman at astrazeneca.com wrote:

> I have been lurking in this list a while and searching in the archives to
> find out how one learns to write fast R code. One solution seems to be to
> write part of the code not in R but in C. However after finding a benchmark
> article (http://www.sciviews.org/other/benchmark.htm) I have been more
> interested in making the R code itself more efficient. I would like to find
> more info about this. I have tried to mail the contact person for the
> benchmark, but I have so recieved no reply.
> 
> I am not an R programmer (or statistican) so I do not know R well. I am
> looking for some advice about writing fast R code. What about the different
> data types for example? Is there some good place to start to look for more
> info about this? 

-- 
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