geom_boxplot_jitter {ggrastr}

This geom is similar to geom_boxplot, but allows to jitter outlier points and to raster points layer.

Description

This geom is similar to geom_boxplot, but allows to jitter outlier points and to raster points layer.

Usage

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
)

Arguments

mapping

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.

data

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)).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

stat

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

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.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

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.

inherit.aes

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.

outlier.jitter.width

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.

outlier.jitter.height

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.

raster.dpi

integer Resolution of the rastered image (default=300). Ignored if raster == FALSE.

scale

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.

Value

geom_boxplot plot with rasterized layer

Aesthetics

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").

Examples

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)