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.
