Hi, Thanks! So, you're saying I should output the descriptives from the individual data files, and manually do the stats to get the combined estimates (or, I can use the files in mplus or spss to run it in those programs)? Is there no automated process in any of the mi or mi-related packages that automates that pooling? Thanks, Mike
On Oct 18, 2011, at 8:20 PM, Weidong Gu wrote: > Mike, > > You can retrieve each of imputed data sets and use Rubin's rule for > combined analysis. I am not sure how to do combined analysis of cov, > but mean and SE would be estimiable. > > For mi package to get individual copies of imputed data > > ?mi.completed > > HTH > > Weidong Gu > > On Tue, Oct 18, 2011 at 5:13 PM, Michael Parent <michael.par...@ufl.edu> > wrote: >> Hi, all, >> I'm running multiple imputation to handle missing data and I'm running into >> a problem. I can generate the MI data sets in both amelia and the mi package >> (they look fine), but I can't figure out how to get pooled results. The >> examples from the mi package, zelig, etc., all seem to go right to something >> like a regression, though all I want are the mean and SE for all the >> variables in the data set, and the cov and for among them. How would I >> request those basic descriptives (using mi, zelig, or any other package). >> Thanks! >> Mike >> ______________________________________________ >> 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. >> > ______________________________________________ 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.
