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Date:         Wed, 7 Jan 2009 10:48:27 -0500
Reply-To:     Akshaya Nathilvar <akshaya.nathilvar@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Akshaya Nathilvar <akshaya.nathilvar@GMAIL.COM>
Subject:      Re: R "Threatens" SAS, According to The New York Times
Comments: To: Phil Rack <>
In-Reply-To:  <000f01c970d2$fc56f490$f504ddb0$@com>
Content-Type: text/plain; charset=ISO-8859-1

I haven't got a chance to use R in workplace, but this is the kind of view, I got when I was talking with our very experienced System Manager. "Realistically, R, and it's for-profit cousin S+, are lousy for data management, but good for some types of modeling, especially if you need to get down-and-dirty with the underlying numerical methods. For the data processing world, SAS competes more with Oracle's many products, SQL server analysis services, SPSS enterprise stuff, and a bunch of specialized software."


On Wed, Jan 7, 2009 at 9:19 AM, Phil Rack <> wrote:

> I think if SAS is to offer an R interface with their product, there will be > a catch of course. That being it will probably only be offered as part of > the analytics packages so you will have to pay for from SAS anyway. In > other > words, if you want to run R, then you will have to pay the money for the > advanced analytics packages like STAT, ETS, etc... > > The downside to SAS supporting R is that there is a real threat that the > defacto standard for statistical analysis and modeling will become R and > not > SAS. If you want to make sure that your code can reach the largest > audience, > then you surely have to appreciate and respect what R can do for you. > > I wrote a program called a Bridge to R for WPS a while back and just > recently upgraded it so that you can run R programs in parallel all from > within the WPS Workbench. With this program, all your R logs and listings > get routed back to your WPS log and listing files. Of course, running > programs in parallel is dependent on the horsepower of your PC or server, > but I've been able to run up to eight R programs in parallel on a Quad-Core > PC running Vista 64 with 8GB of RAM. I wrote a short blog posting on this > back in mid December with some timings. See: > > > Finally, I want to mention the issue about datasets having to fit in > memory. > When I issue a "memory.limit()" command in R, I get a reply of 3583.875. > That's 3583.875 megabytes of available memory. I expect we will be seeing a > 64-bit version of R on a windows platform in the near future. The other > aspect of limited memory comes down (often anyway) to your ability to > manage > memory and your analysis. If your data doesn't fit in memory, You can > sample > your data set for your analysis. You can also use correlation and/or > covariance matrices in some of the advanced statistical procedures instead > of reading in the raw data and use that as the foundation of your data > analysis. > > I suspect some of the older folks who had to work on hardware that was > limited in comparison to today's hardware will chime in, but I remember > being billed for every CPU second, every track of DASD storage used, and > every I/O used. I think many of us have forgotten how to program for > efficiency with the cheap hardware we have today. > > Philip Rack > MineQuest, LLC > SAS & WPS Consulting and WPS Reseller > Tel: (614) 457-3714 > Web: > Blog: > > > -----Original Message----- > From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of > Virtual > SUG > Sent: 01/06/2009 11:42 PM > To: SAS-L@LISTSERV.UGA.EDU > Subject: R "Threatens" SAS, According to The New York Times > > Hello everyone... > > Thought you might be interested in reading this article, which appears > in the 1/6/9 online edition of The New York Times: > > > > ml<> > > The headline is "Data Analysts Captivated by R's Power," and towards > the end of the story is the following paragraph: > > "While it is difficult to calculate exactly how many people use R, > those most familiar with the software estimate that close to 250,000 > people work with it regularly. The popularity of R at universities > could threaten SAS Institute, the privately held business software > company that specializes in data analysis software. SAS, with more > than $2 billion in annual revenue, has been the preferred tool of > scholars and corporate managers. " > > Andrew Karp > Sierra Information Services > >

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