teal.modules.general (version 0.6.0)

geom_mosaic: Mosaic Rectangles Layer for ggplot2

Description

Adds a mosaic-style rectangles layer to a ggplot, visualizing the joint distribution of categorical variables. Each rectangle's size reflects the proportion of observations for combinations of x and fill.

Usage

geom_mosaic(
  mapping = NULL,
  data = NULL,
  stat = "mosaic",
  position = "identity",
  ...,
  na.rm = FALSE,
  show.legend = TRUE,
  inherit.aes = TRUE
)
.calculate_coordinates(data)

Value

A ggplot2 layer that adds mosaic rectangles to the plot.

Arguments

mapping

Set of aesthetic mappings created by aes(). Must specify x and fill.

data

The data to be displayed in this layer.

stat

The statistical transformation to use on the data. Defaults to "rects".

position

Position adjustment. Defaults to "identity".

...

Other arguments passed to layer().

na.rm

Logical. Should missing values be removed?

show.legend

Logical. Should this layer be included in the legends?

inherit.aes

Logical. If FALSE, overrides default aesthetics.

Functions

• .calculate_coordinates(): Computes the coordinates for rectangles in a mosaic plot based on combinations of x and fill variables. For each unique x and fill, calculates the proportional widths and heights, stacking rectangles within each x group.

  Value

  A data frame with columns: x, fill, xmin, xmax, ymin, ymax, representing the position and size of each rectangle.

Examples

df <- data.frame(RACE = c("Black", "White", "Black", "Asian"), SEX = c("M", "M", "F", "F"))
library(ggplot2)
ggplot(df) +
  geom_mosaic(aes(x = RACE, fill = SEX))