Hi Drew,

You should be able to exclude variables from the regression by putting them into the "idvars" argument. Hope that helps!

Cheers,
Matt


~~~~~~~~~~~
Matthew Blackwell
Assistant Professor of Government
Harvard University

On Thu, Apr 20, 2017 at 6:01 AM, Drew Altschul <d.m.altschul@sms.ed.ac.uk> wrote:
Hello,

I have a dataset with a very large number of columns (>10000) and fewer rows, but still a lot (>4000). I want to impute some data with Amelia for use in Zelig. I know what variables I am interested in using in the regressions, but there are a number of missing values, so I was hoping I could leverage the rest of the dataset to come up with imputations for the variables of interest.

Hence, I only want to impute missing values in a few columns of my dataset, rather than spending loads of time imputing all the other values which I don't need and getting error 34 trying to do this. Problem is that I can't figure out how to exclude columns from being imputed without excluding them from the entire analysis.

I guessed this would be straight-forward, but I searched and searched and came up with nothing, so if anyone can help me sort this out, I would very much appreciate it.

            Thanks,
                   Drew


The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

--
Amelia mailing list served by HUIT
[Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia
More info about Amelia: http://gking.harvard.edu/amelia
Amelia mailing list
Amelia@lists.gking.harvard.edu

To unsubscribe from this list or get other information:

https://lists.gking.harvard.edu/mailman/listinfo/amelia