geom_binomdensity: Add dot-densities for binary 'y' variables

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

Add dot-densities for binary y variables

Description

Add dot-densities for binary y variables

Usage

geom_binomdensity(data, x, y, scale = "auto", ...)

Arguments

data	A dataframe.
x, y	Characters corresponding to the x and y axis. Note that y must be a variable with two unique values.
scale	Character specifying method of scaling the dot-densities. Can be: 'auto' (corresponding to the square root of the proportion), 'proportion', 'density' or a custom list with values for each factor level (see examples).
...	Other arguments passed to ggdist::geom_dots.

Examples

library(ggplot2)
library(see)

data <- iris[1:100, ]

ggplot() +
  geom_binomdensity(data,
    x = "Sepal.Length",
    y = "Species",
    fill = "red",
    color = NA
  )

# Different scales
data[1:70, "Species"] <- "setosa" # Create unbalanced proportions

ggplot() +
  geom_binomdensity(data, x = "Sepal.Length", y = "Species", scale = "auto")
ggplot() +
  geom_binomdensity(data, x = "Sepal.Length", y = "Species", scale = "density")
ggplot() +
  geom_binomdensity(data, x = "Sepal.Length", y = "Species", scale = "proportion")
ggplot() +
  geom_binomdensity(data,
    x = "Sepal.Length", y = "Species",
    scale = list("setosa" = 0.4, "versicolor" = 0.6)
  )

see documentation built on March 31, 2023, 10:15 p.m.