On Mon, Jan 26, 2015 at 2:13 PM, hnlki wrote:
> Thank you for your answers. In fact I am using the HFCS dataset,
cool, so survey data. asdfree.com is a good place for examples. also, if
you can match any officially-published statistics, i would love to
collaborate on a post with you :)
>
Thank you for your answers. In fact I am using the HFCS dataset, but I need
3-SLS and SUR. Does the code work with system.fit as well?
My 5 imputed files are stacked together in one dataset. In order to use
(mitools) I need several imputed datasets. Does that mean
that I have to split my datase
hi nate and annelies, the survey of consumer finances and consumer
expenditure survey folders both have examples of how to run a glm on
multiply-imputed survey data.. but these examples are specifically for
complex sample survey data, which might not be what you're working with. :)
https://github
Hi,
I think you want the {mitools} package.
http://cran.r-project.org/web/packages/mitools/mitools.pdf. Anthony
Damico's site, asdfree.com, has a lot of good code examples using various
government datasets.
Nate
On Mon, Jan 26, 2015 at 5:23 AM, hnlki wrote:
> Dear,
>
> My dataset consists out o
Dear,
My dataset consists out of 5 imputed files (that I did not imputed myself).
Is was wondering what is the best way to analyse them in R. I am aware that
packages to perform multiple imputation (like Mice & Amelia) exist, but they
are used to perform MI. As my data is already imputed, I would
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