This is mostly equivalent to ggplot2::stat_bin()
except that the bin edges
are copied from the scale breaks. For this effect to work properly, you
either need to use fixed scale breaks (e.g. using a vector instead of a
function), or use the breaks_cached()
helper.
Usage
stat_bin_auto(
mapping = NULL,
data = NULL,
geom = "bar",
position = "stack",
...,
breaks = "all",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
pad = FALSE,
binwidth = NULL,
bins = NULL,
centre = NULL,
boundary = NULL
)
Arguments
- mapping, data, geom, position, na.rm, show.legend, inherit.aes, pad, ...
See
ggplot2::stat_bin()
.- breaks
Which breaks from the scale should be used?
"minor"
for minor breaks,"major"
for major breaks, or"all"
for both.- bins, binwidth, centre, boundary
Ignored.
Examples
library(ggplot2)
set.seed(1)
events <- rep(as.Date("2024-01-31") - 0:30, rpois(31, 2))
df <- data.frame(date = events)
ggplot(df) +
stat_bin_auto(aes(date)) +
scale_x_date(breaks = week_breaks(2L, week_start = "Monday"))