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Dear Analies Would the package mitools help you? It is available from CRAN. On 26/01/2015 10:23, hnlki 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. ----- No virus found in this message. Checked by AVG - www.avg.com Version: 2015.0.5645 / Virus Database: 4273/9002 - Release Date: 01/26/15
-- Michael http://www.dewey.myzen.co.uk/home.html ______________________________________________ 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.
