Hi, all,
I'm running a monte carlo simulation with missing data. The data are arranged
such that there are k columns and n rows over a set number of simulations (set
to 10 right now so it runs fast while I set everything up). The data are
integers, numbers 1-7 only (normal distribution). The simulations are set up
and run without a hitch, including imposing NA missing values at a specified
prevalence semi-randomly (there are not allowed to be any completely empty
rows).
I'd like to replace the missing values ("NA") with the mean for the non-missing
items items *on that row*. I want to go through all the monte carlo simulation
runs that I already did (so that I'm using the same data) and replace NA with
the mean (e.g., if k=5 and a row has values of 3 3 NA 5 5, I want to put a 4 in
for NA). I also want the imputed mean values to be rounded to the nearest
integer.
Does anyone have an idea for how I'd set that up? I feel like there's a fairly
easy way to set up searching out those NAs and replacing the the row mean that
is not coming to me.
Thanks,
Mike
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