Hi Bryan, Thanks for the reproducible example. The problem is actually in your code, not mine ;) You probably want: y = min(res, na.rm = TRUE) - 0.1 * diff(range(res, na.rm = TRUE))
Hadley (drop = TRUE solves a difference problem - it controls whether or not to remove bins with zero count) On Fri, Oct 23, 2009 at 6:34 PM, Bryan Hanson <han...@depauw.edu> wrote: > .. Adding to my original post... > > OK, here's a little function which demonstrates the behavior I described. > Try it with rem = FALSE to see the annotation, then TRUE to see the > annotations disappear. What's going on here? Thanks, Bryan > > res = runif(50, 0, 100) > fac = rep(c("A", "B"), 50) > df <- data.frame(res = res, fac = as.factor(fac)) > > test <- function(df, rem = TRUE) { > if (rem) rem <- runif(15, 1, 100); df$res[rem] <- NA > p <- ggplot(df, aes(fac, res)) + geom_point() > p <- p + geom_text(aes(x = fac, y = min(res) - 0.1 * diff(range(res)), > label = paste("n = ", ..count.. , sep = "")), > color = "black", size = 4.0, stat = "bin") > print(p) > } > > On 10/23/09 1:19 PM, "Bryan Hanson" <han...@depauw.edu> wrote: > >> One for the ggplot2 gurus... >> >> I have a function which makes a plot just fine if the response vector (res >> in the example; fac1 is a factor) has no NA in it. It plots the data, then >> makes a little annotation at the bottom with the data counts using: >> >> p <- p + geom_text(aes(x = fac1, y = min(res) - 0.1 * diff(range(res)), >> label = paste("n = ", ..count.. , sep = "")), >> color = "black", size = 4.0, stat = "bin") >> >> If there are NA in the res vector, I get warnings from stat_summary and >> geom_point about removing rows; these arise from an earlier part of the >> function and the points and error bars all plot. However, the count >> annotation does not appear on the plot when there are NA in res. >> >> Looking at the ggplot2 web site, there is a drop parameter for stat_bin. I >> inserted drop = TRUE several places in the snippet above and the function >> did not complain but still did not plot the counts. I looked at the >> function bin{ggplot2} which apparently does the work. There are some >> programming tricks there I'm not really familiar with, but generally it >> looks like it na.rm or na.omit's in several places, while the drop = TRUE is >> carried out as the last step. >> >> So, any suggestions about why the counts don't appear on my plot? I suppose >> I can always clean the data first, but it would be much more practical to do >> that in the background during the preparation of the plot. >> >> Thanks as always, Bryan >> ************* >> Bryan Hanson >> Acting Chair >> Professor of Chemistry & Biochemistry >> DePauw University, Greencastle IN USA >> >> ______________________________________________ >> 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. > -- http://had.co.nz/ ______________________________________________ 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.