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 L. Cassell
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;
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