Dear R-users, I want to multiple impute missing scores, but only for a few subgroups in my data (variable 'subgroups': only impute for subgroups 2 and 3). Does anyone knows how to do this in MICE?
This is my script for the multiple imputation: imp <- mice(data, m=20, predictorMatrix=pred, post=post, method=c("", "", "", "", "","norm", "norm","norm","norm","norm","norm"), maxit=20) . The final analysis should be on the dataset as a whole, so with subgroups 2 and 3 with observed and imputed values, and for subgroup 1 with observed values only (and missing scores). Thanks. -- View this message in context: http://r.789695.n4.nabble.com/Multiple-imputation-on-subgroups-tp3889664p3889664.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.