[R] F# vs. R

[rkevinburton at charter.net]

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 <pburns at 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_schwartz at 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
> pburns at pburns.seanet.com
> http://www.burns-stat.com
> (home of 'Some hints for the R beginner'
> and 'The R Inferno')
> 
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