Date:         Sun, 1 Jun 2008 12:20:42 -0500
Reply-To:     Tom White <tw2@MAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Tom White <tw2@MAIL.COM>
Subject:      Re: SAS vs BUGS, R, SPSS, etc.
Comments: To: Phil Rack <PhilRack@minequest.com>
Content-Type: text/plain; charset="iso-8859-1"

Phil,

Thank you for your input.

I will put you down on the R column.

But to make sure:

     Can we do data preparation, data statistical analysis,
     and, finally, data scoring all within R just like we can
     in SAS?

As for the data set sizes, I don't mean the PC computer.
     I meant to ask if R can handle large data sets
     (sever millions obs) like SAS can. SAS will keep
     going till it runs out of memory, I think.

For some reason I always thought we only had SAS to perform
our statistical analyses from beging (data step preparations)
to end (scoring new cases using the model).

I mean, sure, we also have Minitab, but I remember from school,
it can't go beyond very basic tasks (at least it used to, I don't know nowadays).

But I think on a more substantive issue, BUGS deals with Bayesian statistics
whereas mixed models in SAS deal with classical approaches?

I don't know.

I need to go back to studying Multilevel models ...  :)

Tom





Tom



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