ggmosaic was designed to create visualizations of categorical data and is capable of producing bar charts, stacked bar charts, mosaic plots, and double decker plots.
Example
library(ggmosaic)
#> Loading required package: ggplot2
ggplot(data = fly) +
geom_mosaic(aes(x = product(RudeToRecline), fill=DoYouRecline))
geom_mosaic: setting the aesthetics
Aesthetics that can be set:
- weight : select a weighting variable
-
x : select variables to add to formula
- declared as x = product(x1, x2, …)
-
fill : select a variable to be filled
- if the variable is not also called in x, it will be added to the formula in the first position
-
conds : select a variable to condition on
- declared as conds = product(cond1, cond2, …)
These values are then sent through productplots functions to create the formula for the desired distribution
Formula: weight ~ fill + x | conds
From the aesthetics to the formula
Example of how the formula is built
- weight = 1
- x = product(Y, X)
- fill = W
- conds = product(Z)
These aesthetics set up the formula for the distribution: 1 ~ W + X + Y | Z
Because a mosaic plot is constructed hierarchically through alternating spines, the ordering of the variables is very important.
