marimekko

marimekko (mosaic) plots for ggplot2.

A one-sided formula controls the variable hierarchy and split directions. Column widths and segment heights encode marginal and conditional proportions of categorical variables.

Installation

# Install from CRAN
install.packages("marimekko")

# Or install the development version from GitHub
# devtools::install_github("gogonzo/marimekko")
install.packages("marimekko", repos = c('https://gogonzo.r-universe.dev', 'https://cloud.r-project.org'))

Quick start

library(ggplot2)
library(marimekko)

titanic <- as.data.frame(Titanic)

ggplot(titanic) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Survived
  ) +
  labs(title = "Titanic survival by class", y = "Proportion") +
  theme_marimekko()

Formula syntax

A one-sided formula (~ ...) controls which variables are used, their nesting order, and how each level splits the plot area. The plot starts as a single rectangle (the unit square) and each variable subdivides it further.

Split directions

There are two split directions:

• Horizontal split — divides the area into side-by-side columns along the x-axis. Column widths are proportional to the variable's distribution. All columns share the same vertical extent.
• Vertical split — divides the area into stacked rows along the y-axis. Row heights are proportional to the variable's distribution. All rows share the same horizontal extent.

The first variable always splits horizontally (columns). Each | switches direction, so the second variable splits vertically (rows within each column), the third switches back to horizontal, and so on.

Operators

Operator	Meaning
|	Separates groups of variables. Each `
+	Combines variables within the same group — they split in the same direction, one after another.

Examples

Formula	1st split	2nd split	3rd split	Layout
~ a | b	a → columns (horizontal)	b → rows within each column (vertical)	—	Standard mosaic
~ a | b | c	a → columns	b → rows	c → sub-columns	Alternating 3-level
~ a + b | c	a → columns, then b → sub-columns	c → rows	—	Double decker
~ a | b + c	a → columns	b → rows, then c → sub-rows	—	Multiple vertical

Expressions in formulas

Variables in the formula can be arbitrary R expressions:

~ factor(cyl) | cut(mpg, breaks = 3)

Features

Feature	Function / Parameter
Core marimekko plot	geom_marimekko()
Text labels on tiles	geom_marimekko_text()
Labels with background box	geom_marimekko_label()
Marginal percentages on x-axis	show_percentages = TRUE
Compute tiles without plotting	fortify_marimekko()
Minimal mosaic theme	theme_marimekko()
Pearson residual shading	after_stat(.residuals)
Conditional proportion shading	after_stat(.proportion)
Independent x/y gaps	gap_x / gap_y
Plotly interactivity	plotly::ggplotly()

Examples

Marginal percentages on x-axis

ggplot(titanic) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Survived,
    show_percentages = TRUE
  ) +
  theme_marimekko()

Count labels

ggplot(titanic) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Survived
  ) +
  geom_marimekko_text(aes(label = after_stat(weight)))

Residual shading

ggplot(titanic) +
  geom_marimekko(
    aes(
      fill = Survived, weight = Freq,
      alpha = after_stat(abs(.residuals))
    ),
    formula = ~ Class | Survived
  ) +
  scale_alpha_continuous(range = c(0.3, 1), guide = "none")

Three-variable nested mosaic

ggplot(titanic) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Sex | Survived
  )

Faceting

ggplot(as.data.frame(Titanic)) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Survived
  ) +
  facet_wrap(~Sex)

Independent x/y gaps

ggplot(titanic) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Survived, gap_x = 0.04, gap_y = 0
  )

Plotly interactivity

library(plotly)

p <- ggplot(titanic) +
  geom_marimekko(
    aes(fill = Survived, weight = Freq),
    formula = ~ Class | Survived
  )
ggplotly(p)

Data extraction with fortify

tiles <- fortify_marimekko(titanic,
  formula = ~ Class | Survived, weight = Freq
)
head(tiles)

How it works

marimekko extends ggplot2 through the ggproto system:

• StatMarimekko parses the formula, recursively partitions the unit square, and returns tile rectangles (xmin, xmax, ymin, ymax) with computed variables (.residuals, .proportion, .marginal).
• Tiles are rendered via GeomRect with sensible defaults (white borders, slight transparency).
• Axis labels are automatically placed by the geom at tile midpoints.

Why to use marimekko?

marimekko was designed to avoid pain points in other existing packages.

• Minimal dependencies -- ggplot2 as only dependency
• No internal ggplot2 API usage -- won't break on ggplot2 updates
• Easily extendable -- StatMarimekkoTiles exposes tile data so you can pair it with any ggplot2 geom to build custom companion layers (bubbles, residual markers, etc.)
• Formula-based API -- ~ a | b | c encodes both variables and directions
• Works without library() -- marimekko::geom_marimekko() just works
• Respects factor levels -- user-set levels() are honored
• In-formula expressions -- ~ factor(cyl) | cut(mpg, breaks = 3) works
• Plotly compatible -- ggplotly() works out of the box