On Thu, May 19, 2011 at 11:41 PM, Manderscheid Katharina <katharina.mandersch...@unilu.ch> wrote: > hi, > > i am trying to work with the survey package in order to apply survey design > weights. the data set i am using - ess - contains missing values. > my question: when using svytable(~variable1+variable2, > design=my.svydesign.object, na.rm=T) the resulting crosstable contains all > missings although i defined the na's as such. >
Could you give more details? There isn't an na.rm= argument to svytable, so it's not surprising it has no effect, but I don't know what you mean when you say the table "contains all missings." Perhaps you could show us the output and say how it differs from what you expected. -thomas -- Thomas Lumley Professor of Biostatistics University of Auckland ______________________________________________ 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.