dat$x.f <- factor(replace(dat$x.f, dat$x.f == "NA", NA))
Anne wrote:
Dear R-helpers, I have a problem which I suppose is trivila, but... I have included NA values as factors ( (to be able to make nice printed summaries with NAs % ba category ) with the following code
dat$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)?
-- Chuck Cleland, Ph.D. NDRI, Inc. 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 452-1424 (M, W, F) fax: (917) 438-0894
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