Hej Lennart,
I would like to add one thing:
Often, there already exists an R function that solves the problem at hand.
Instead of writing your own function, search the help files [apropos(),
help.search()]. What I some times find difficult though, is guessing what key
words will produce relevant search hits...
Mvh
Sixten
>>> <Lennart.Borgman at astrazeneca.com> 2004-02-17 15:36:12
>>>
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?
Thanks for any pointers
Lennart
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