[R] getting basic descriptive stats off multiple imputation data

[Michael Parent]

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.parent at 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
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>