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Date:   Thu, 11 Mar 2010 12:57:32 -0600
Reply-To:   "Agrimson, Andrew" <aagrimson@CARLSON.COM>
Sender:   "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:   "Agrimson, Andrew" <aagrimson@CARLSON.COM>
Subject:   Re: SAS to R and back again
Comments:   To: Dale McLerran <stringplayer_2@YAHOO.COM>
In-Reply-To:   A<47407.84206.qm@web32402.mail.mud.yahoo.com>
Content-Type:   text/plain; charset="us-ascii"

Yes, that would be great.

Thanks,

Andy

-----Original Message----- From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of Dale McLerran Sent: Thursday, March 11, 2010 11:53 AM To: SAS-L@LISTSERV.UGA.EDU Subject: Re: SAS to R and back again

I believe that IML Studio is the best approach available at this time. Some folks have explored the use of ODBC and other means to transfer data. However, none of the other approaches which I have seen currently allow you to execute both SAS and R code from within a common application. That, to me, is the main benefit of IML Studio.

I just gave a presentation on the use of IML Studio for executing R code from SAS. If you would like the slides from my Powerpoint presentation, I could send them to you. I don't find the SAS documentation of IML Studio to be really well organized. I think my Powerpoint presentation is better at introducing some of the topics which are new with IML Studio.

Dale

--------------------------------------- Dale McLerran Fred Hutchinson Cancer Research Center mailto: dmclerra@NO_SPAMfhcrc.org Ph: (206) 667-2926 Fax: (206) 667-5977 ---------------------------------------

--- On Thu, 3/11/10, Agrimson, Andrew <aagrimson@CARLSON.COM> wrote:

> From: Agrimson, Andrew <aagrimson@CARLSON.COM> > Subject: SAS to R and back again > To: SAS-L@LISTSERV.UGA.EDU > Date: Thursday, March 11, 2010, 8:37 AM > Hello all, > > > > I would like to do an analysis using an R package, in this > process I > will need to import a SAS dataset into R for analysis then > pass results > back into SAS, possibly multiple times. Before I begin I'm > trying to > figure out the most efficient way to do this. I've looked > briefly into > SAS/IML Studio 3.2 and it seems that may be the way to go. > Does anybody > have any suggestions or advice regarding this sort of > issue? > > > > Thanks, > > Andy > > > > >


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