Jeff Newmiller dcn.davis.ca.us> writes:
> Nope. Most users get speed by using vectorized calculations. If you
> have already identified how to get correct answers, the next step is
> something like Rcpp or linking to a shared library written in your
> language of choice.
> But seriously, vecto
Facts:
1. R does not by default compile bytecode. It uses a read-parse-eval
cycle as described in the R Language Manual.
2. However, as of 2.14.0 (anyway) there is a "compiler" package that
is shipped as part of the standard distribution. Written by Luke
Tierney and his graduate student minions,
Nope. Most users get speed by using vectorized calculations. If you have
already identified how to get correct answers, the next step is something like
Rcpp or linking to a shared library written in your language of choice.
But seriously, vectorizing is enough for most applications, and making s
Simple question: is there a way to compile R scripts to native code? If not is
there anything else that might improve speed? I'm not even sure that R
compiles internally to byte code or not. I assume it does since all modern
languages seem to do this. Maybe there's a JIT compiler? Yes, I ha
One suggestion you have probably already considered, but: why not R CMD
BATCH the script? You can set up an executable to do that. No need to
compile the actual R code.
If you want to hide the code and/or it has interaction, you can also set it
up on a web or intranet server for them, calling the
Hi all,
I am struggling to compile a massive R code that I have written through
some years, aiming to provide automated investment strategies to my
Portfolio Managers. You may ask me why do I not rewrite the code in C or
C++; the answer is it is really massive and that will take me lots of
time.
6 matches
Mail list logo
