[R] Are you experienced in SAS and R as well? Which of thesewouldyou recommend?

Torsten Hothorn Torsten.Hothorn at rzmail.uni-erlangen.de
Fri Nov 23 17:40:56 CET 2001


<snip> some true comments
 
> 
> Even though R has great statistical functionality it's main drawback (to me
> at any rate) is that most of the underlying code is written in C or
> Fortran. Not a problem if you only require to work with R packages as they
> stand. But if you want to get your hands dirty chances are you'll have to
> hack someone else's C or Fortran code - and I have to say that some of the
> Fortran I've seen has been fairly unintelligible. This makes it
> particularly hard to make anything but rudimentary changes to the code
> which then must be compiled and loaded into your R program.

And how do you change such low-level things in SAS? 

*THE* advantage of R is that you *CAN* read, hack and copy other peoples
code (and, big thing, learn from it how to write better programs).

Anyway, we have this funny R <-> SAS discussion at nearly every coffee
break :-)

Torsten

-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !)  To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._



More information about the R-help mailing list