able.
>
> For mi package to get individual copies of imputed data
>
> ?mi.completed
>
> HTH
>
> Weidong Gu
>
> On Tue, Oct 18, 2011 at 5:13 PM, Michael Parent
> wrote:
>> Hi, all,
>> I'm running multiple imputation to handle missing data
Hi, all,
I'm running multiple imputation to handle missing data and I'm running into a
problem. I can generate the MI data sets in both amelia and the mi package
(they look fine), but I can't figure out how to get pooled results. The
examples from the mi package, zelig, etc., all seem to go righ
ations. I'll be sure to be more accurate/specific in any future
posts ;-)
Thanks!
Mike
On Oct 17, 2011, at 6:24 PM, Rolf Turner wrote:
> On 18/10/11 10:35, Michael Parent wrote:
>> Hi, all,
>>
>> I'm running a monte carlo simulation with missing data. The data a
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 si
Thanks!
"This problem isn't uniquely defined. Are you willing to generate more samples
than you need and then throw away extreme values? Or do you want to 'censor'
extreme values (i.e. set values <= 1 to 1 and values >=7 to 7)?"
I'd like the retain a normal distribution so I wouldn't want to
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