Hi everyone,
I have a quick question. I'm working with several multiply imputed data sets
and would like to simulate quantities of interest at mean/mode values of
explanatory variables. Because of the way I subset data iteratively in a for
loop, I would like to consolidate the five data sets into a single data set,
with each observation simply taking the mean (or, in some cases, mode) value
of the five data cells from the imputed data sets.
So my question: How can I coerce the five imputed data sets into a single
data set with mean/mode values? There must be some straightforward way to do
this.
Thanks in advance for the help. Best,
Brett