On 6 Dec 2004 at 13:58, Anne wrote:
> Dear R-helpers, > I have a problem which I suppose is trivila, but... > I have included NA values as factors ( (to be able to make nice > printed summaries with NAs % ba category ) with the following code > > dat$x.f<-factor(dat$x, exclude=NULL); > levels(dat$x.f)<-c("A1","A2","A3","A4","NA"); length(dat$x.f) > > Now, I want to impute the missing values. Is there a nice way to drop > the NA factor instead of rewriting something of the sort > dat$x.f<-factor(dat$x); levels(dat$x.f)<-c("A1","A2","A3","A4"); > length(dat$x.f)? Hi Anne Is this dat$x.f[!is.na(dat$x.f), drop=T] what you want? ?"[.factor" Cheers Petr > > Thanks > > Anne > > > ---------------------------------------------------- > Anne Piotet > Tel: +41 79 359 83 32 (mobile) > Email: [EMAIL PROTECTED] > --------------------------------------------------- > M-TD Modelling and Technology Development > PSE-C > CH-1015 Lausanne > Switzerland > Tel: +41 21 693 83 98 > Fax: +41 21 646 41 33 > -------------------------------------------------- > > [[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 Petr Pikal [EMAIL PROTECTED] ______________________________________________ [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