Dear R-users,
I want to multiple impute missing scores, but only for a few subgroups in my
data (variable 'subgroups': only impute for subgroups 2 and 3).
Does anyone knows how to do this in MICE?
This is my script for the multiple imputation:
imp <- mice(data, m=20, predictorMatrix=pred, post=post,
method=c("", "", "", "", "","norm",
"norm","norm","norm","norm","norm"),
maxit=20) .
The final analysis should be on the dataset as a whole, so with subgroups 2
and 3 with observed and imputed values, and for subgroup 1 with observed
values only (and missing scores).
Thanks.
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