Hadley, thanks - that was a permutation that I did not try (but should have
thought of it). But...
Now, when some observations are removed, you get the count on the plot
(previously one did not), however, alas, a new problem: the value of
.count.. includes the NA's or something similar. Revised
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
.. 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.
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)
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