Hi Fei, I wouldn't worry to much about categorical variables for mice. Mice would use logisitic regression for binary and polytomous logistic regression for categorical variables with >2 levels. However, you should not include factors with a lot of levels, saying>30, in imputation models because it would require a lot of dummy variables.
Another thing is that not excluding variables you would use in substantive analysis. Otherwise, estimation would be biased. Weidong On Sat, Nov 26, 2011 at 12:07 PM, Fei <fayechen0...@hotmail.com> wrote: > Hi Josh, > > Thanks for the kind reminder of posting the dataframe on. My dataframe > contains lots of categorical variables, which seems to be problematic. For > instance, > > dob status edu mrext > 1111 married highschool yes, full time > > Do you know how to specify the imputation methods and the visitSquence so > that those categorical variables are not involved in the imputation process? > Thank you. > > Fei > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/computationally-singular-error-with-mice-tp4109583p4110776.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > ______________________________________________ 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.
