Hi: See ? levels. Here's a toy example:
> x <- factor(sample(0:2, 10, replace = TRUE)) > x [1] 1 2 1 0 2 2 2 2 2 1 Levels: 0 1 2 > levels(x) <- c(0, 1, 1) # Change level 2 to 1 > x [1] 1 1 1 0 1 1 1 1 1 1 Levels: 0 1 HTH, Dennis On Fri, Jul 16, 2010 at 10:18 AM, CC <turtysm...@gmail.com> wrote: > I am sure this is a very basic question: > > I have 600,000 categorical variables in a data.frame - each of which is > classified as "0", "1", or "2" > > What I would like to do is collapse "1" and "2" and leave "0" by itself, > such that after re-categorizing "0" = "0"; "1" = "1" and "2" = "1" --- in > the end I only want "0" and "1" as categories for each of the variables. > > Also, if possible I would rather not create 600,000 new variables, if I can > replace the existing variables with the new values that would be great! > > What would be the best way to do this? > > Thank you! > > > -- > Thanks, > CC > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
