the mitools package is compatible with the survey package.. asdfree.com has complete step-by-step R code examples to work with govt microdata. here are the ones with multiply imputed survey data. :)
national health interview survey national survey of children's health consumer expenditure survey program of international student assessment survey of consumer finances survey of business owners program for the international assessment of adult competencies once you have the survey design constructed properly, you can just execute the svyglm like this: https://github.com/ajdamico/usgsd/blob/d300884bd63dd05c61e8a6fa76ed7293adae55c2/Consumer Expenditure Survey/2011 fmly intrvw - analysis examples.R#659 On Fri, Dec 12, 2014 at 7:14 PM, N F <arjunamu...@gmail.com> wrote: > > Dear all, > I've got a bit of a challenge on my hands. I've got survey data produced by > a government agency for which I want to use the person-weights in my > analyses. This is best accomplished by specifying weights in {survey} and > then calculating descriptive statistics/models through functions in that > package. > > However, there is also missingness in this data that I'd like to handle > with imputation via {mi}. To properly use imputed datasets in regression, > they need to be pooled using the lm.mi function in {mi}. However, I can't > figure out how to carry out a regression on data that is properly weighted > that has also had its missing values imputed, because both packages use > their own mutually incompatible data objects. Does anyone have any thoughts > on this? I've done a lot of reading and I'm not really seeing anything on > point. > > Thanks in advance! > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
