An ad-hoc method is to impute missing scores of the whole data set
including subgroup1, then change imputed scores in subgroup1 into NA.
Weidong Gu
On Mon, Oct 10, 2011 at 5:35 AM, Sarah <s1327...@student.rug.nl> wrote:
> 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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>
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