geom_violindot: Half-violin Half-dot plot

In see: Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Half-violin Half-dot plot

Description

Create a half-violin half-dot plot, useful for visualising the distribution and the sample size at the same time.

Usage

geom_violindot(
  mapping = NULL,
  data = NULL,
  trim = TRUE,
  scale = c("area", "count", "width"),
  show.legend = NA,
  inherit.aes = TRUE,
  dots_size = 0.7,
  dots_color = NULL,
  dots_fill = NULL,
  binwidth = 0.05,
  position_dots = ggplot2::position_nudge(x = -0.025, y = 0),
  ...,
  size_dots = dots_size,
  color_dots = dots_color,
  fill_dots = dots_fill
)

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)).
trim	If TRUE (default), trim the tails of the violins to the range of the data. If FALSE, don't trim the tails.
scale	if "area" (default), all violins have the same area (before trimming the tails). If "count", areas are scaled proportionally to the number of observations. If "width", all violins have the same maximum width.
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().
binwidth	When method is "dotdensity", this specifies maximum bin width. When method is "histodot", this specifies bin width. Defaults to 1/30 of the range of the data
position_dots	Position adjustment for dots, 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 colour = "red" or size = 3. They may also be parameters to the paired geom/stat.
size_dots, dots_size	Size adjustment for dots.
color_dots, dots_color	Color adjustment for dots.
fill_dots, dots_fill	Fill adjustment for dots.

Examples

library(ggplot2)
library(see)

ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) +
  geom_violindot() +
  theme_modern()

see documentation built on Nov. 3, 2023, 5:10 p.m.