geom_boxplot, but allows to jitter outlier points and to raster points layer.This geom is similar to geom_boxplot, but allows to jitter outlier points and to raster points layer.
geom_boxplot_jitter(
mapping = NULL,
data = NULL,
dev = "cairo",
stat = "boxplot",
position = "dodge",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...,
outlier.jitter.width = NULL,
outlier.jitter.height = 0,
raster.dpi = getOption("ggrastr.default.dpi", 300),
scale = 1
)geom_boxplot plot with rasterized layer
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)).
string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").
string The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count"). Refer to ggplot2::layer.
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.
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
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().
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.
numeric Amount of horizontal jitter (default=NULL). The jitter is added in both positive and negative directions, so the total spread is twice the value specified here. If NULL, no jitter performed.
numeric Amount of horizontal jitter (default=0). The jitter is added in both positive and negative directions, so the total spread is twice the value specified here.
integer Resolution of the rastered image (default=300). Ignored if raster == FALSE.
numeric Scaling factor to modify the raster object size (default=1). The parameter 'scale=1' results in an object size that is unchanged, 'scale'>1 increase the size, and 'scale'<1 decreases the size. These parameters are passed to 'height' and 'width' of grid::grid.raster(). Please refer to 'rasterise()' and 'grid::grid.raster()' for more details.
geom_boxplot() understands the following aesthetics (required aesthetics are in bold):
x or y
lower or xlower
upper or xupper
middle or xmiddle
ymin or xmin
ymax or xmax
alpha
colour
fill
group
linetype
linewidth
shape
size
weight
Learn more about setting these aesthetics in vignette("ggplot2-specs").
library(ggplot2)
library(ggrastr)
yvalues = rt(1000, df=3)
xvalues = as.factor(1:1000 %% 2)
ggplot() + geom_boxplot_jitter(aes(y=yvalues, x=xvalues), outlier.jitter.width = 0.1, raster = TRUE)
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