Would it be possible for Matthew (the original person) to tell us what
he ended up with for his final talk, please?

Thanks,
Erin


On Jan 17, 2008 10:45 AM, Wittner, Ben, Ph.D.
<[EMAIL PROTECTED]> wrote:
> Several people have mentioned large, messy data sets.
> I am curious as to in what way messy data sets are messy.
> (I am also curious about what SAS does that helps one deal with them, but
> perhaps that's asking too much.)
>
> Thanks.
> -Ben
>
> > -----Original Message-----
> > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
>
> > On Behalf Of Paul Gilbert
> > Sent: Thursday, January 17, 2008 11:39 AM
> > To: [EMAIL PROTECTED]
> > Subject: Re: [R] things that are difficult/impossible to do in SAS or
> > SPSSbut simple in R
> >
> > The argument for SAS (and Stata) when working with large dataset comes
> > up fairly often.  I have not had much experience in this area, but have
> > been pleasantly surprised using R in combination with an SQL interface,
> > in situations with modestly large, messy datasets.  I certainly would
> > appreciate comments on the relative merits from anyone that has more
> > experience in this area.
> >
> > Paul Gilbert
> >
> > Walter Paczkowski wrote:
> > > Good morning,
> > >
> > > I use SAS and R/S-Plus as my primary tools so I have a lot of experience
> > with these programs.  By far and away, SAS is superior for handling the
> > "messy" datasets, but also the very large ones.  I work at times with
> > datasets in the hundreds of thousands (and on occasion, millions) of
> > records.  SAS, and especially PROC SQL, are invaluable for this.  But once
> > I get to datasets manageable for R/S-Plus, then I ship to these tools for
> > the programming and graphics.  This seems to work great.
> > >
> > > Walt Paczkowski
> > > Data Analytics Corp.
> > >
> > >
> > > -----Original Message-----
> > >
> > >>From: Rob Robinson <[EMAIL PROTECTED]>
> > >>Sent: Jan 17, 2008 4:31 AM
> > >>To: [EMAIL PROTECTED]
> > >>Subject: Re: [R] things that are difficult/impossible to do in SAS or
> >       SPSSbut simple in R
> > >>
> > >>
> > >>I wonder if those who complain about SAS as a programming environment
> > have
> > >>discovered SAS/IML which provides a programming environment akin to
> > Matlab
> > >>which is more than capable (at least for those problems which can be
> > treated
> > >>with a matrix like approach). As someone who uses both SAS and R -
> > graphical
> > >>output is so much easier in R, but for handling large 'messy' datasets
> > SAS
> > >>wins hands down...
> > >>Cheers
> > >>Rob
> > >>
> > >>*** Want to know about Britain's birds? Try  www.bto.org/birdfacts ***
> > >>
> > >>Dr Rob Robinson, Senior Population Biologist
> > >>British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU
> > >>Ph: +44 (0)1842 750050         E: [EMAIL PROTECTED]
> > >>Fx: +44 (0)1842 750030         W: http://www.bto.org
> > >>
> > >>==== "How can anyone be enlightened, when truth is so poorly lit" =====
> > >>
> > >>
> > >>
> > >>>-----Original Message-----
> > >>>From: [EMAIL PROTECTED]
> > >>>[mailto:[EMAIL PROTECTED] On Behalf Of Jeffrey J. Hallman
> > >>>Sent: 16 January 2008 22:38
> > >>>To: [EMAIL PROTECTED]
> > >>>Subject: Re: [R] things that are difficult/impossible to do
> > >>>in SAS or SPSSbut simple in R
> > >>>
> > >>>SAS has no facilities for date arithmetic and no easy way to
> > >>>build it yourself.  In fact, that's the biggest problem with
> > >>>SAS: it stinks as a programming environment, so it's always
> > >>>much more difficult than it should be to do something new.
> > >>>As soon as you get away from the canned procs and have to
> > >>>write something of your own, SAS falls down.
> > >>>
> > >>>I don't know enough about SPSS to comment.
> > >>>--
> > >>>Jeff
> > >>>
> > >>>______________________________________________
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-- 
Erin Hodgess
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
mailto: [EMAIL PROTECTED]

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