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Date:         Thu, 1 Sep 2011 18:14:07 -0500
Reply-To:     Joe Matise <snoopy369@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Joe Matise <snoopy369@GMAIL.COM>
Subject:      Re: sql sum function
Comments: To: "Nordlund, Dan (DSHS/RDA)" <NordlDJ@dshs.wa.gov>
In-Reply-To:  <941871A13165C2418EC144ACB212BDB0020A2E07@dshsmxoly1504g.dshs.wa.lcl>
Content-Type: text/plain; charset=ISO-8859-1

Sadly no, there isn't a way to do so as far as I know. There are some instances where you can substitute numbers for column names (such as in group by - if you've selected a function's result, it's easier to group by 1,2,3 than to list the functions again) but you aren't allowed to use list constructors.

-Joe

On Thu, Sep 1, 2011 at 5:49 PM, Nordlund, Dan (DSHS/RDA) < NordlDJ@dshs.wa.gov> wrote:

> > -----Original Message----- > > From: Arthur Tabachneck [mailto:art297@ROGERS.COM] > > Sent: Thursday, September 01, 2011 3:15 PM > > To: SAS-L@LISTSERV.UGA.EDU; Nordlund, Dan (DSHS/RDA) > > Subject: Re: sql sum function > > > > Dan, > > > > I can't think of a direct shortcut, but one can always take advantage > > of > > dictionary.columns. Would the following suffice?: > > > > proc sql; > > select name into:vars > > separated by ',' > > from dictionary.columns > > where libname="WORK" > > and memname="HAVE" > > and name like "v%" > > ; > > select sum(&vars.) as vsum > > from HAVE > > ; > > quit; > > > > HTH, > > Art > > Art, > > Yeah, I can do that when the work of typing in the variable names is > greater than typing in the code to access the dictionary tables (or get the > variable names in some other manner). I was just hoping I had missed some > magic incantation that would allow the use of something like the list > constructors available in the data step (v:, v1-v4, etc.). I have been > disabused of that notion now. :-) > > > Thanks for the response, > > Dan > > Daniel J. Nordlund > Washington State Department of Social and Health Services > Planning, Performance, and Accountability > Research and Data Analysis Division > Olympia, WA 98504-5204 >


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