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Multiple Imputation in MICE: how to get one dataset out m=50?

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Multiple Imputation in MICE: how to get one dataset out m=50?

So I am new to R and new to MI as well. Reading through "Flexible Imputation of Missing Data" and slowly becoming acquainted.

I was going through a sample run of my data, worked through most of the necessary steps outlined in book and "mice: Multivariate Imputation by Chained Equations in R" paper...but I can't come up with a code that lets you take all the 50 datasets and just get one output data with imputed/oroginal values. Is this even possible with MICE or MI in general? I tried Amelia and Zelig too and I get confused at this step. I get the point that one should pool through all the datasets but going through all 50 in this sample run would be too exhausting.

Since I am still new, I apologize for missing something and would appreciate an example or code that lets me pool one dataset to model with through an index in another software.