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.
