stat_summary
operates on unique x
; stat_summary_bin
operators on binned x
. They are more flexible versions of
stat_bin
: instead of just counting, the can compute any
aggregate.stat_summary_bin(mapping = NULL, data = NULL, geom = "pointrange",
fun.data = NULL, fun.y = NULL, fun.ymax = NULL, fun.ymin = NULL,
fun.args = list(), na.rm = FALSE, position = "identity",
show.legend = NA, inherit.aes = TRUE, ...)stat_summary(mapping = NULL, data = NULL, geom = "pointrange",
fun.data = NULL, fun.y = NULL, fun.ymax = NULL, fun.ymin = NULL,
fun.args = list(), na.rm = FALSE, position = "identity",
show.legend = NA, inherit.aes = TRUE, ...)
geom_histogram
/geom_freqpoly
and stat_bin
.ymin
, y
, and ymax
.FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g.
layer
. There are
three types of arguments you can use here:
color = "red"
orsize = 3
.