hi nate and annelies, the survey of consumer finances and consumer expenditure survey folders both have examples of how to run a glm on multiply-imputed survey data.. but these examples are specifically for complex sample survey data, which might not be what you're working with. :)
https://github.com/ajdamico/usgsd/search?utf8=%E2%9C%93&q=svyglm On Mon, Jan 26, 2015 at 10:30 AM, N F <arjunamu...@gmail.com> wrote: > Hi, > I think you want the {mitools} package. > http://cran.r-project.org/web/packages/mitools/mitools.pdf. Anthony > Damico's site, asdfree.com, has a lot of good code examples using various > government datasets. > > Nate > > On Mon, Jan 26, 2015 at 5:23 AM, hnlki <annelies.hoebe...@ugent.be> wrote: > > > Dear, > > > > My dataset consists out of 5 imputed files (that I did not imputed > myself). > > Is was wondering what is the best way to analyse them in R. I am aware > that > > packages to perform multiple imputation (like Mice & Amelia) exist, but > > they > > are used to perform MI. As my data is already imputed, I would like to > know > > how I can split it and how I should obtain pooled regression results. If > I > > can use the existing MI packages, how should I define my imputation > > variable? > > > > Kind regards, > > > > > > > > > > -- > > View this message in context: > > http://r.789695.n4.nabble.com/multiple-imputed-files-tp4702289.html > > Sent from the R help mailing list archive at Nabble.com. > > > > ______________________________________________ > > 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. > [[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.
