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Date:         Thu, 3 Jul 2008 13:37:52 +0530
Reply-To:     ajay ohri <ohri2007@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         ajay ohri <ohri2007@GMAIL.COM>
Subject:      Re: "SAS to R to SAS" by Phil Holland
Comments: To: RolandRB <rolandberry@hotmail.com>
In-Reply-To:  <ee46acfb-c0ec-4058-b25a-d5e7629dc370@c58g2000hsc.googlegroups.com>
Content-Type: text/plain; charset=ISO-8859-1

Well what what about WPS and R. Then that would be a formidable and quite inexpensive option. Also WPS has very good customer service.

On Thu, Jul 3, 2008 at 12:27 PM, RolandRB <rolandberry@hotmail.com> wrote:

> Here is a good paper entitled "SAS to R to SAS" by Phil Holland. > > http://www.hollandnumerics.co.uk/pdf/SAS2R2SAS_paper.pdf > > It is a good marriage of SAS and R that I think is an ideal jumping > off point for the use of R alongside SAS in the pharmaceutical > industry. The more I read, the less I think that SAS is going to "go > away" for the purposes of clinical reporting and be replaced by R. R > currently can't handle large volumes of data such as lab data. SAS > can. So with SAS staying around then it is likely that all data > manipulation will be done using SAS. So that's us SAS programmers who > do clinical reporting still safe in our jobs.......... > > ......However, I do see R being used alongside SAS. The ideal > situation is to call R from a SAS program that does all the data > manipulation, to run the R code using a system call and to incorporate > the R log output into the SAS log output. This is the best of both > worlds since this way data of any volume can be easily manipulated, we > can use routines or special statistical analysis in R where needed and/ > or produce its famous "superior graphics" that can be incorporated > into output and have both the SAS and R logs in the same file where it > can be scanned for errors, warnings and important notes. > > Phil's paper is a good jumping off point, as I said. I wouldn't have > done things quite that way and for us SAS programmers, a lot more > detail would be helpful. I hope to create some pages on my web site > sometime that goes into this in a lot of detail so that clinical sas > programmers can comfortably make the transition across into > incorporating R code in their SAS programs. >


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