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, they can compute any
aggregate.
stat_summary_bin(
mapping = NULL,
data = NULL,
geom = "pointrange",
position = "identity",
...,
fun.data = NULL,
fun.y = NULL,
fun.ymax = NULL,
fun.ymin = NULL,
fun.args = list(),
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)stat_summary(
mapping = NULL,
data = NULL,
geom = "pointrange",
position = "identity",
...,
fun.data = NULL,
fun.y = NULL,
fun.ymax = NULL,
fun.ymin = NULL,
fun.args = list(),
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
Set of aesthetic mappings created by aes
or
aes_
. If specified and inherit.aes = TRUE
(the
default), it is combined with the default mapping at the top level of the
plot. You must supply mapping
if there is no plot mapping.
The data to be displayed in this layer. There are three options:
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot
.
A data.frame
, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify
for which variables will be created.
A function
will be called with a single argument,
the plot data. The return value must be a data.frame.
, and
will be used as the layer data.
The geometric object to use display the data
Position adjustment, either as a string, or the result of a call to a position adjustment function.
other arguments passed on to layer
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
color = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
A function that is given the complete data and should
return a data frame with variables ymin
, y
, and ymax
.
Alternatively, supply three individual functions that are each passed a vector of x's and should return a single number.
Optional additional arguments passed on to the functions.
If FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.
If 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. borders
.
animint2:::rd_aesthetics("stat", "summary")
You can either supply summary functions individually (fun.y
,
fun.ymax
, fun.ymin
), or as a single function (fun.data
):
Complete summary function. Should take numeric vector as input and return data frame as output
ymin summary function (should take numeric vector and return single number)
y summary function (should take numeric vector and return single number)
ymax summary function (should take numeric vector and return single number)
A simple vector function is easiest to work with as you can return a single
number, but is somewhat less flexible. If your summary function computes
multiple values at once (e.g. ymin and ymax), use fun.data
.
If no aggregation functions are suppled, will default to
mean_se
.
geom_errorbar
, geom_pointrange
,
geom_linerange
, geom_crossbar
for geoms to
display summarised data