[R] Missing data

[Bill Pikounis]

David,
Frank Harrell's pair of packages Hmisc and Design has some functions
for tabulating, visualizing, and accounting for missing data.  I
recommend them as one avenue to investigate. Frank's companion book
"Regression Modeling Strategies" covers their use in-depth.

Hope that helps,
Bill

___________
Bill Pikounis
 Statistician

On 9/11/07, David Kaplan <dkaplan at education.wisc.edu> wrote:
> Hi all,
>
> I'm looking for a contributed package that can provide a detailed
> account of missing data patterns and perhaps also provide imputation
> procedures, such as mean imputation or hot deck imputation and the like.
>   Is there anything out there?
>
> Thanks in advance,
>
> David
>
>
> --
> ===========================================================================
> David Kaplan, Ph.D.
> Professor
> Department of Educational Psychology
> University of Wisconsin - Madison
> Educational Sciences, Room, 1061
> 1025 W. Johnson Street
> Madison, WI 53706
>
> email: dkaplan at education.wisc.edu
> homepage: http://www.education.wisc.edu/edpsych/facstaff/kaplan/kaplan.htm
> Phone: 608-262-0836
>
> ______________________________________________
> R-help at 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.
>


-- 
Bill Pikounis
Statistician