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.
Content-Type: text/plain; charset="iso-8859-1"
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
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 ... :)
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