Thanks Pablo, There must be a spelling issue then although I can get the tables and other stuff on the same variables. In this case, I will go for the glm below, and hopefully this will not make the results too bad.
mylogit <- glm(response~ var1+ var2+ var3+ var4+ var5+ var6, weights = sweight, family = quasibinomial(link = "logit")) -- View this message in context: http://r.789695.n4.nabble.com/crosstable-and-regression-for-survey-data-weighted-tp4634083p4634950.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
