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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Lennart
To learn about "data types" take a look at the early chapters of An Introduction To R available at
http://cran.r-project.org/manuals.html
Richard --
Richard E. Remington III Statistician KERN Statistical Services, Inc. PO Box 1046 Boise, ID 83701 Tel: 208.426.0113 KernStat.com
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