This function is intended to work in combination with
geom_bar
to display the sum of the values represented
by each bar. Like geom_bar
, this function works if the
x
and/or y
aesthetics are provided.
geom_barcount(
mapping = NULL,
data = NULL,
stat = "barcount",
position = "stack",
...,
overall.stack = TRUE,
digits = 3,
width = NULL,
na.rm = FALSE,
orientation = NA,
show.legend = NA,
inherit.aes = TRUE
)
stat_barcount(
mapping = NULL,
data = NULL,
geom = "barcount",
position = "stack",
...,
overall.stack = TRUE,
digits = 3,
width = NULL,
na.rm = FALSE,
orientation = NA,
show.legend = NA,
inherit.aes = TRUE
)
Set of aesthetic mappings created by 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. A function
can be created
from a formula
(e.g. ~ head(.x, 10)
).
Position adjustment, either as a string naming the adjustment
(e.g. "jitter"
to use position_jitter
), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
Other arguments passed on to layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
Defines whether an overall count is displayed for stacked bars or if the counts of each individual component of the stacked bars should be displayed.
Integer indicating the number of significant digits to be used.
Recognized values are 0..22
. Use digits = 0
to display as
integers.
Bar width. By default, set to 90% of the resolution()
of the
data.
If FALSE
, the default, missing values are removed with
a warning. If TRUE
, missing values are silently removed.
The orientation of the layer. The default (NA
)
automatically determines the orientation from the aesthetic mapping. In the
rare event that this fails it can be given explicitly by setting orientation
to either "x"
or "y"
. See the Orientation section for more detail.
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.
It can also be a named logical vector to finely select the aesthetics to
display.
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()
.
Use to override the default connection between
geom_barcount
and stat_barcount
.
This geom treats each axis differently and, thus, can thus have two orientations. Often the orientation is easy to deduce from a combination of the given mappings and the types of positional scales in use. Thus, ggplot2 will by default try to guess which orientation the layer should have. Under rare circumstances, the orientation is ambiguous and guessing may fail. In that case the orientation can be specified directly using the orientation
parameter, which can be either "x"
or "y"
. The value gives the axis that the geom should run along, "x"
being the default orientation you would expect for the geom.
geom_barcount()
understands the following aesthetics (required aesthetics are in bold):
x
y
label
alpha
angle
colour
family
fontface
group
hjust
lineheight
size
vjust
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
library(ggplot2)
p <- ggplot(mpg)
p +
aes(x = class) +
geom_bar() +
geom_barcount()
# Map class to y instead to flip the orientation
p +
aes(y = class) +
geom_bar() +
geom_barcount()
# For stacked position
p <- ggplot(diamonds, aes(color, fill = cut))
p +
geom_bar(position = 'stack') +
geom_barcount()
p +
geom_bar(position = 'stack') +
geom_barcount(overall.stack = FALSE)
# For dodged position
p +
geom_bar(position = 'dodge') +
geom_barcount(position = position_dodge(width = 0.9))
# For fill position
p +
geom_bar(position = 'fill') +
geom_barcount(position = position_fill())
# For fillpercent position
p +
geom_bar(position = 'fillpercent') +
geom_barcount(position = position_fillpercent()) +
ylab('count (%)')