[R] Calculating mean from wit mice (multiple imputation)

[Weidong Gu]

Sarah,

You can try this

mean(sapply(1:n.imp, function(x) complete(imp,x)$y))

Weidong Gu

On Wed, Jul 20, 2011 at 6:05 AM, Sarah <s1327720 at student.rug.nl> wrote:
> Hi all,
>
> How can I calculate the mean from several imputed data sets with the package
> mice?
> I know you can estimate regression parameters with, for example, lm and
> subsequently pool those parameters to get a point estimate using functions
> included in mice. But if I want to calculate the mean value of a variable
> over my multiple imputed data sets with
> fit <- with(data=imp, expr=mean(y)) and
> pool(fit),
> I get the warning:
> Error in pool(fit) : Object has no coef() method.
>
> Does anyone know what is happening, and is there another way of calculating
> means?
> Thanks.
>
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