Hi Folks, I'm currently looking at missing data/imputation methods (including multiple imputation). S-Plus has a "missing data library". What similar resources are available within R? Or does one roll one's own? Best wishes to all, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk> Fax-to-email: +44 (0)870 167 1972 Date: 08-Apr-02 Time: 17:23:32 ------------------------------ XFMail ------------------------------ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Look at transcan in the Hmisc package, or the new aregImpute which currently is under construction. There's also MICE, which has very good performance except possibly for speed. See http://hesweb1.med.virginia.edu/biostat/rms Frank Harrell On Mon, 08 Apr 2002 17:23:32 -0000 (BST) Ted.Harding at nessie.mcc.ac.uk wrote:> Hi Folks, > > I'm currently looking at missing data/imputation > methods (including multiple imputation). > > S-Plus has a "missing data library". > > What similar resources are available within R? > > Or does one roll one's own? > > Best wishes to all, > Ted. > > -------------------------------------------------------------------- > E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk> > Fax-to-email: +44 (0)870 167 1972 > Date: 08-Apr-02 Time: 17:23:32 > ------------------------------ XFMail ------------------------------ > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- > r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html > Send "info", "help", or "[un]subscribe" > (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch > _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._-- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences U. Virginia School of Medicine http://hesweb1.med.virginia.edu/biostat -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
>>>>> "ted" == Ted Harding <Ted> writes:ted> Hi Folks, ted> I'm currently looking at missing data/imputation ted> methods (including multiple imputation). ted> S-Plus has a "missing data library". ted> What similar resources are available within R? Joe Shafer's packages (cat, norm, mix), which may form the basis for S-Plus' library (I don't remember this, any more) are available. A general framework would be nice for creating and recreating imputed data sets, but in general, it isn't hard to roll your own. best, -tony -- A.J. Rossini Rsrch. Asst. Prof. of Biostatistics U. of Washington Biostatistics rossini at u.washington.edu FHCRC/SCHARP/HIV Vaccine Trials Net rossini at scharp.org -------------- http://software.biostat.washington.edu/ ---------------- FHCRC: M-W: 206-667-7025 (fax=4812)|Voicemail is pretty sketchy/use Email UW: Th: 206-543-1044 (fax=3286)|Change last 4 digits of phone to FAX (my friday location is usually completely unpredictable.) -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Ted Harding wrote:> I'm currently looking at missing data/imputation > methods (including multiple imputation). > > S-Plus has a "missing data library". > > What similar resources are available within R?Ted: If you are using Unix/Linux, http://web.inter.nl.net/users/S.van.Buuren/mi/docs/miceR.zip Hope this helps, Chuck Cleland -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
There is already a (rough) R package for Shafer's 'norm' C library on CRAN, I've mostly got a package for the 'mix' based on that set up as well. -Greg> -----Original Message----- > From: rossini at blindglobe.net [mailto:rossini at blindglobe.net] > Sent: Monday, April 08, 2002 1:58 PM > To: Ted.Harding at nessie.mcc.ac.uk > Cc: r-help at stat.math.ethz.ch > Subject: Re: [R] Missing data and Imputation > > > >>>>> "ted" == Ted Harding <Ted> writes: > > ted> Hi Folks, > ted> I'm currently looking at missing data/imputation > ted> methods (including multiple imputation). > > ted> S-Plus has a "missing data library". > > ted> What similar resources are available within R? > > Joe Shafer's packages (cat, norm, mix), which may form the basis for > S-Plus' library (I don't remember this, any more) are available. > > A general framework would be nice for creating and recreating imputed > data sets, but in general, it isn't hard to roll your own. > > best, > -tony > > -- > A.J. Rossini Rsrch. Asst. Prof. of > Biostatistics > U. of Washington Biostatistics > rossini at u.washington.edu > FHCRC/SCHARP/HIV Vaccine Trials Net rossini at scharp.org > -------------- http://software.biostat.washington.edu/ > ---------------- > FHCRC: M-W: 206-667-7025 (fax=4812)|Voicemail is pretty > sketchy/use Email > UW: Th: 206-543-1044 (fax=3286)|Change last 4 digits of phone to FAX > (my friday location is usually completely unpredictable.) > > > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. > -.-.-.-.-.-.-.-.- > r-help mailing list -- Readhttp://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._. _._ LEGAL NOTICE Unless expressly stated otherwise, this message is confidential and may be privileged. It is intended for the addressee(s) only. Access to this E-mail by anyone else is unauthorized. If you are not an addressee, any disclosure or copying of the contents of this E-mail or any action taken (or not taken) in reliance on it is unauthorized and may be unlawful. If you are not an addressee, please inform the sender immediately. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._