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.