Uzuner, Tolga wrote: > Dear R Developers, > It would help if R scripts could be compiled into an executable, or a > library.
Are you sure it would help? If you do a big matrix operation in R it runs at the speed of the underlying C code. It wont get much faster. Profile your code, find out where the time is being spent, then optimise _that_. > Speed is the main issue (I run a large scale monte carlo in > R which is very slow). The reason its very slow is not because its 'in R' but because it is a 'large scale monte carlo'. What was a 'large scale' monte-carlo ten years ago runs in no time today. 'large scale' == 'slow' almost by definition. Unless you've done comparisons with the same code written in some other language. > However, it would also make it easier to link > R into other applications, easier at least than the COM > infrastructure under Windows. R can be called from C, and there are application links to Python, Perl, Java... Easy enough. > Finally, it would make it much easier to farm R apps: rather than > distributing all of R and necessary libraries onto each client, and > making sure each client is always up to date as libraries for a > specific script change, it might be easier just to distribute a > simple executable across all nodes. Keeping a bunch of clients up to date is as easy as a quick scripted rsync command, or completely transparent if you have a shared /usr/local filesystem (Unix). There is some work going on to produce an R compiler, but I dont think these are the reasons. Baz ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
