Just how did you 'adjust' your weights? Your adjusted weights could have unforseen consequences. For example, a small error might have turned some of the weights to zero by accident. Or raking could hav inadvertently turned some weights into zeroes or negative numbers (although I hope not). So it probably matters HOW you did those adjustments.

David -- David L. Cassell mathematical statistician Design Pathways 3115 NW Norwood Pl. Corvallis OR 97330

> Date: Sat, 1 Nov 2008 17:06:14 -0400 > From: sasandstats@LIVE.COM > Subject: Urgent: NOTE: 1541 observations were omitted due to nonpositive weights. > To: SAS-L@LISTSERV.UGA.EDU > > I have adjusted the weights for my survey data, and suddenly I am losing a lot of observations in proc surveyfreq crosstabs. None of the weights I am using are negative. I am having to adjust for cluster sampling, too. > > Why does this happen? And how can it get resolved? > > Here is an example of my code: > > proc surveyfreq data= step1c; > tables nocase*group*gender*bm5domain*Bcat > /row cl chisq; > cluster pid; > weight finwts; > run; > > > > Thanks! > D. > _________________________________________________________________ > When your life is on the go—take your life with you. > http://clk.atdmt.com/MRT/go/115298558/direct/01/

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