This function is intended to work in combination with
geom_boxplot2
to display the number of data points used for the
calculation of statistics which are graphically represented by each box and
whiskers.
geom_boxcount(
mapping = NULL,
data = NULL,
stat = "boxcount",
position = "dodge2",
...,
spacing = 0.05,
outlier.position = "jitter",
na.rm = FALSE,
orientation = NA,
show.legend = FALSE,
inherit.aes = TRUE
)
stat_boxcount(
mapping = NULL,
data = NULL,
geom = "boxcount",
position = "dodge2",
...,
coef = 1.5,
spacing = 0.05,
na.rm = FALSE,
orientation = NA,
show.legend = FALSE,
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.
Fraction of the panel range used as the margin between the boxplot and the count. If spacing is positive, counts are displayed using a margin that is relative to the maximum value of each boxplot. If spacing is negative, counts are displayed using a margin that is relative to the minimum value of each boxplot. If spacing is Inf, all counts are displayed at the top of the data range. If spacing if -Inf, all counts are displayed at the bottom of the data range. Defaults to 0.05.
This controls the placement of the counts above the boxes, depending on
whether outliers were hidden (outlier.position = NULL
) or displayed
(outlier.position = 'identity'
or outlier.position =
'jitter'
) when the call to geom_boxplot2
was made. By
default, outliers are assumed to be displayed.
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_boxcount
and stat_boxcount
.
Length of the whiskers as multiple of IQR (if lower than 50) or a confidence interval (if greater than or equal to 50). Defaults to 1.5.
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_boxcount()
understands the following aesthetics (required aesthetics are in bold):
x
or y
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, aes(class, hwy))
p +
geom_boxplot2() +
geom_boxcount()
#> Warning: Width not defined. Set with `position_dodge2(width = ...)`
# For display on log axis scale, use the scale_y_continuous function
# Using coord_trans(y ='log10') would display the counts at the wrong place
p +
geom_boxplot2() +
geom_boxcount() +
scale_y_continuous(trans = 'log10')
#> Warning: Width not defined. Set with `position_dodge2(width = ...)`