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 > > > -- > =========================================================================== > 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: [EMAIL PROTECTED] > homepage: http://www.education.wisc.edu/edpsych/facstaff/kaplan/kaplan.htm > Phone: 608-262-0836 > > ______________________________________________ > 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. > -- Bill Pikounis Statistician ______________________________________________ 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.