stat_waffle {ggbrick}

stat_brick

Description

Creates a 'waffle' style chart with the aesthetic of a brick wall. Usage is similar to geom_col where you supply counts as the height of the bar. Each whole brick represents 1 unit. Two half bricks equal one whole brick. Where the count exceeds the number of brick layers, the number of bricks is scaled to retain the brick wall aesthetic.

Usage

stat_waffle(
  mapping = NULL,
  data = NULL,
  geom = "rect",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  bricks_per_layer = 4,
  type = "ordered",
  gap = NULL,
  width = 0.9,
  ...
)

geom_waffle(
  mapping = NULL,
  data = NULL,
  stat = "waffle",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  bricks_per_layer = 4,
  type = "ordered",
  gap = NULL,
  width = 0.9,
  ...
)

geom_waffle0(
  mapping = NULL,
  data = NULL,
  stat = "waffle",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  bricks_per_layer = 4,
  type = "ordered",
  gap = 0,
  width = 0.9,
  ...
)

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)).

geom

Geom

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

na.rm

If FALSE removes NAs from the data.

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().

bricks_per_layer

The number of bricks per layer. Default 4.

type

The type of fill ordering. one of 'ordered', 'random' or 'soft_random', Default 'ordered'

gap

The space between bricks.

width

Column width. Default 0.9.

...

Dots.

stat

The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count")

Value

ggplot object

Aesthetics

geom_waffle() understands the following aesthetics (required aesthetics are in bold):

• x

• y

• alpha

• colour

• fill

• group

• linetype

• linewidth

Examples

library(ggplot2)
library(dplyr)
mpg %>%
  count(class, drv) %>%
  ggplot() +
  geom_waffle(aes(class, n, fill = drv)) +
  coord_waffle()