Good point. cc'ing Hadley. Well geom_bar help page clearly states: na.rm: If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
But they are not being removed in my example - silently or loudly. On Thu, Jul 27, 2017 at 11:18 AM, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > I suspect this is by design. Questions about "why" should probably cc the > contributed package maintainer(s). > -- > Sent from my phone. Please excuse my brevity. > > On July 27, 2017 7:49:47 AM PDT, Dimitri Liakhovitski < > dimitri.liakhovit...@gmail.com> wrote: > >To clarify: my question is not about "who could I exclude NAs from > >being > >counted" - I know how to do that. > >My question is: Why na.rm = T is not working for geom_bar in this case? > > > >On Thu, Jul 27, 2017 at 8:24 AM, Dimitri Liakhovitski < > >dimitri.liakhovit...@gmail.com> wrote: > > > >> Hello! > >> > >> I am trying to understand how ggplot2's geom_bar treats NAs. > >> The help file says: > >> > >> library(ggplot2) > >> ?geom_bar > >> na.rm: If FALSE, the default, missing values are removed with a > >warning. > >> If TRUE, missing values are silently removed. > >> > >> I am trying it out: > >> md <- data.frame(a = c(letters[1:5], letters[1:4], letters[1:3], > >rep(NA, > >> 3))) > >> str(md); levels(md$a) > >> > >> ggplot(data = md, mapping = aes(x = a)) + > >> geom_bar(na.rm = F) > >> It runs without warnings and generates counts for each factor level > >AS > >> WELL AS the NAs. Makes sense. > >> > >> Now, I don't want the NAs to be counted. So, I run: > >> ggplot(data = md, mapping = aes(x = a)) + > >> geom_bar(na.rm = T) > >> > >> But I still have NAs in the picture. Why? > >> What am I missing? > >> > >> Thank you! > >> -- > >> Dimitri Liakhovitski > >> > -- Dimitri Liakhovitski [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.