True, porting old C and Fortran code to C# or F# would be a pain and probably riddled with errors but it is not too soon to start looking to see if there is a better way. There have been numerous ports of LAPACK, BLAS, etc. to C#. Maybe they could be leveraged.
Maybe just allowing packages to be wrtten in C# or F# would be helpful. And remember there is Mono. Just my 2 cents. ---- Patrick Burns <pbu...@pburns.seanet.com> wrote: > I'd like to hear answers to this as well. > A language doesn't have to be a complete > replacement to be useful. > > F# seems to have some nice features. > > Pat > > On 07/07/2010 17:54, Sergey Goriatchev wrote: > > Hello, Marc > > > > No, I do not want to validate Cox PH. :-) > > I do use R daily, though right now I do not use the statistical part that > > much. > > > > I just generally wonder if any R-user tried F# and his/her opinions. > > > > Regards, > > Sergey > > > > > > On Wed, Jul 7, 2010 at 17:56, Marc Schwartz<marc_schwa...@me.com> wrote: > >> On Jul 7, 2010, at 10:31 AM, Sergey Goriatchev wrote: > >> > >>> Hello, everyone > >>> > >>> F# is now public. Compiled code should run faster than R. > >>> > >>> Anyone has opinion on F# vs. R? Just curious > >>> > >>> Best, > >>> S > >> > >> > >> The key time critical parts of R are written in compiled C and FORTRAN. > >> > >> Of course, if you want to take the time to code and validate a Cox PH or > >> mixed effects model in F# and then run them against R's coxph() or > >> lme()/lmer() functions to test the timing, feel free... :-) > >> > >> So unless there is a pre-existing library of statistical and related > >> functionality for F#, perhaps you need to reconsider your query. > >> > >> Regards, > >> > >> Marc Schwartz > >> > >> > > > > > > > > -- > Patrick Burns > pbu...@pburns.seanet.com > http://www.burns-stat.com > (home of 'Some hints for the R beginner' > and 'The R Inferno') > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
