Package 'ggbrick'

Brick row

Description

Brick row

Usage

brick_row(
  layer,
  bpl,
  brick_height = 1,
  brick_width = 2.5,
  gap = 0.125,
  width = 0.9,
  .geom = "brick"
)

Arguments

layer	Brick layer.
bpl	Number of bricks in the layer.
brick_height	Brick height.
brick_width	Brick width.
gap	Gap between the bricks.
width	Column width
.geom	Geom type for layering. Either 'brick' or 'brick_waffle'

---

Build the wall

Description

Build the wall

Usage

build_wall(n_bricks, height, bpl, gap = NULL, width = 0.9)

Arguments

n_bricks	Number of bricks
height	Height of the wall.
bpl	Bricks per layer
gap	The space between bricks.
width	Column_width

---

Build the wall

Description

Build the wall

Usage

build_wall_waffle(n_bricks, height, bpl, gap = NULL, width = 0.9)

Arguments

n_bricks	Number of bricks
height	Height of the wall.
bpl	Bricks per layer
gap	The space between bricks.
width	Column width.

---

Cartesian coordinates with fixed "aspect ratio"

Description

A fixed scale coordinate system forces a specified ratio similar to coord_fixed. It holds the coordinates fixed at the right ratio to ensure each brick is of the right dimensions.

Usage

coord_brick(
  bricks_per_layer = 4,
  ratio = NULL,
  xlim = NULL,
  ylim = NULL,
  expand = TRUE,
  clip = "on",
  width = 0.9
)

coord_waffle(
  bricks_per_layer = 4,
  ratio = NULL,
  xlim = NULL,
  ylim = NULL,
  expand = TRUE,
  clip = "on",
  width = 0.9
)

Arguments

bricks_per_layer	Number of bricks per layer. Should match the bricks_per_layer specification in geom_brick. Default is 4.
ratio	aspect ratio, expressed as y / x
xlim, ylim	Limits for the x and y axes.
expand	If TRUE, the default, adds a small expansion factor to the limits to ensure that data and axes don't overlap. If FALSE, limits are taken exactly from the data or xlim/ylim.
clip	Should drawing be clipped to the extent of the plot panel? A setting of "on" (the default) means yes, and a setting of "off" means no. In most cases, the default of "on" should not be changed, as setting clip = "off" can cause unexpected results. It allows drawing of data points anywhere on the plot, including in the plot margins.
width	Column width. If using a different width in geom_brick use the same width here to ensure correct scaling.

Value

ggplot object

Examples

# ensures that the ranges of axes are equal to the specified ratio by

library(ggplot2)
library(dplyr)

# create a base plot
plt <- mpg %>%
  count(class, drv) %>%
  ggplot() +
  geom_brick(aes(class, n, fill = drv), bricks_per_layer = 6)

# view the base plot
plt

# View the base plot with fixed coords
# Ensure `bricks_per_layer` matches the geom
plt %>%
  coord_brick(6)

# The same using `geom_waffle`
mpg %>%
  count(class, drv) %>%
  ggplot() +
  geom_waffle(aes(class, n, fill = drv), bricks_per_layer = 6) +
  coord_waffle(6)

---

GeomBrick

Description

GeomBrick

Usage

GeomBrick

Format

An object of class GeomBrick (inherits from GeomRect, Geom, ggproto, gg) of length 6.

---

GeomBrick

Description

GeomBrick

Usage

GeomBrick0

Format

An object of class GeomBrick0 (inherits from GeomBrick, GeomRect, Geom, ggproto, gg) of length 6.

---

GeomBrick

Description

GeomBrick

Usage

GeomWaffle

Format

An object of class GeomWaffle (inherits from GeomRect, Geom, ggproto, gg) of length 6.

---

GeomBrick

Description

GeomBrick

Usage

GeomWaffle0

Format

An object of class GeomWaffle0 (inherits from GeomWaffle, GeomRect, Geom, ggproto, gg) of length 6.

---

half brick row

Description

half brick row

Usage

half_brick_row(
  layer,
  bpl,
  brick_height = 1,
  brick_width = 2.5,
  gap = 0.125,
  width = 0.9
)

Arguments

layer	Brick layer.
bpl	Number of bricks in the layer.
brick_height	Brick height.
brick_width	Brick width.
gap	Gap between the bricks.
width	Column_width

---

Fill

Description

Makes the vector for the fill aesthetic

Usage

make_new_fill(fill, n, val)

Arguments

fill	The fill vector.
n	Vector representing the number of bricks for the fill level.
val	Vector of length the same as fill of with 1 o 0.5 for whole or half bricks.

---

Robust random

Description

Ensures the half bricks are randomised in pairs to preserve the total

Usage

robust_random(x, val)

Arguments

x	x.
val	Value.

---

Robust round

Description

Robust round

Usage

robust_round(x, N)

Arguments

x	Vector of values.
N	Value to preserve sum to.

---

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

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

geom_brick0(
  mapping = NULL,
  data = NULL,
  stat = "brick",
  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().
width	Column width. Default value is 0.9.
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.
...	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_brick() 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_brick(aes(class, n, fill = drv)) +
  coord_brick()

---

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()

---

Switch position for soft random

Description

Switch position for soft random

Usage

switch_pos(x, n)

Arguments

x	Vector to switch values in.
n	Number to switch.

---