[R] Compilation of R code

[Liaw, Andy]

For figuring out where in the code the bottleneck is, a better tool is
probably the profiler.  See:

http://cran.r-project.org/doc/manuals/R-exts.html#Profiling%20R%20code

HTH,
Andy

> From: Spencer Graves
> 
>       R is basically an interpreted language.  To my knowledge, the 
> standard approach to improving speed starts by finding which 
> steps take 
> the most time.  This can be done using "proc.time" and / or 
> "system.time" (preceded by "gc" to clean things up so the 
> timing is more 
> stable). 
> 
>       Once you've determined which loop or function call consumes the 
> most time, you then need to decide what to do about it.  R is 
> vectorized, so if you use loops like in Fortran or C, you 
> might be able 
> to replace complicated pieces of code with one or only a very few 
> commands.  This list has considered many questions about 
> speed, so once 
> you know which steps are taking the most time, you can search the 
> archives as described in the posting guide, 
> "http://www.R-project.org/posting-guide.html".  If that does 
> not solve 
> the problem, you can translate a function into a compiled 
> language like 
> C.  See help.start() -> "Writing R Extensions" -> "System and foreign 
> language interfaces". 
> 
>       hope this helps. 
>       spencer graves
> 
> Depire Alexandre wrote:
> 
> >Hello,
> >I'm a newbie on this list.
> >I have a R code but its execution take a very long time.
> >Is it possible to compile it (in C for example) to decrease 
> the execution 
> >time ?
> >
> >  
> >
> 
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