The mice package might also be useful, especially the md.pattern function: http://finzi.psych.upenn.edu/R/library/mice/html/md.pattern.html
James -- James Reilly Department of Statistics, University of Auckland Private Bag 92019, Auckland, New Zealand On 12/9/07 1:33 PM, Bill Pikounis wrote: > 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 <[EMAIL PROTECTED]> 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 >> ______________________________________________ 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.
