David Barron wrote: > You've not given us much information to go on! Have you tried > >> help(aregImpute,package="Hmisc")
And for that sample size you'll have to tell aregImpute to force all continuous variables to act linearly Frank > > > On 15/09/06, Qiong Wang <[EMAIL PROTECTED]> wrote: >> Dear all, >> >> I am new to R. I wish to use R's multiple imputation to deal with missing >> data. I have a data set with the size around 300 observations and 150 >> variables. I checked the help function in R and could not locate how to >> write the codes for this. can anyone give a hand? >> >> Do appreciate your time and kindness! >> Q. >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> [email protected] 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. >> > > > -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ [email protected] 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.
