You might look at Allison's short book for a quick introduction to the issues:
Paul D. Allison. 2002. Missing Data. Sage Quantitative Applications in the Social Sciences No. 136. Online there is http://www.multiple-imputation.com/ which provides a bibliography (with links to articles that are available online). Chapter 25 on Missing Data Imputation (Andrew Gelman and Jennifer Hill. 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press) which is available at http://lane.compbio.cmu.edu/courses/gelmanmissing.pdf provides examples of several approaches and provides R code for them. ---------------------------------------------- David L Carlson Associate Professor of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Ken Sent: Tuesday, November 01, 2011 4:48 PM To: Sascha Vieweg Cc: r-help@r-project.org Subject: Re: [R] Imputing Missing Data: A Good Starting Point? 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 <saschav...@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, saschav...@gmail.com > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
