[R] Imputing Missing Data: A Good Starting Point?

[Ken]

Hope this helps:
http://rss.acs.unt.edu/Rdoc/library/randomForest/html/rfImpute.html
Ken Hutchison

On Nov 1, 2554 BE, at 5:29 PM, Sascha Vieweg <saschaview at gmail.com> wrote:

> Hello
> 
> I am working on my first attempt to impute missing data of a data set with systematically incomplete answers (school performance tests). I was googling around for some information and found Amelia (Honaker et al., 2010) and the mi package (Yu-Sung et al., n.d.). However, since I am new to this field, I was wondering whether some experts could give a good recommendation of a starting point for me, that is a point that combines theory as well as practical examples. Of course, My primary interest is to complete the task in time (1 week), however, I want to acquire skills for a program that provides some future, and of course I want some background on what I am doing (and what not). Could you help with some hints, experiences, and recommendations?
> 
> Thank you.
> 
> Regards
> *S*
> 
> -- 
> Sascha Vieweg, saschaview at gmail.com
> 
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