Re: [R] things that are difficult/impossible to do in SAS or SPSSbut simple in R

From: Barry Rowlingson <b.rowlingson_at_lancaster.ac.uk>
Date: Thu, 17 Jan 2008 18:19:23 +0000

Clint Bowman wrote:
> So how does SAS compare with one of the specialty languages such as perl.
> I've found the combination of perl and R to work quite satisfactorily (as
> long as I don't confuse the syntax and functions available in each.)

  Now that the topic has drifted off the subject of what stats things you can do in R that you can't do in SAS, I feel I can chime in on a couple of things that are impossible or difficult to do in SAS:

  1. Look at the source code. Not impossible with SAS, you'll just need to get a job with them, and then probably get some security clearance. Or disassemble and reverse-engineer the binary, which is probably illegal. Impossible? Near enough.
  2. Give a copy to your students. Again, not impossible with SAS, you'll just have to copy the CDs, write down the license code, and let them accidentally fall into your student's handbag.

  Of course if you can show that SAS has the power of a Turing machine then nothing computable is impossible...

Barry



R-help_at_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. Received on Thu 17 Jan 2008 - 18:20:57 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Thu 17 Jan 2008 - 19:30:13 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive