Package 'ggtricks' reference manual

Title:	Create Sector and Other Charts Easily Using Grammar of Graphics
Description:	A collection of several geoms to create graphics, using 'ggplot2' and the Cartesian coordinate system. You use the familiar mapping 'Grammar of Graphics' without the need to do another transformation into polar coordinates.
Authors:	Abdoul ISSA BIDA [aut, cre]
Maintainer:	Abdoul ISSA BIDA <[email protected]>
License:	MIT + file LICENSE
Version:	0.1.0.9000
Built:	2024-11-18 04:08:36 UTC
Source:	https://github.com/abdoulma/ggtricks

Create donut plot using Cartesian coordinates system

Description

There are two arguments absolutely needed in aes() mappings:

cat A discrete categories vector.
val A numerical values vector.

Usage

geom_donut(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  r1 = 1,
  r2 = 0.65,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  spotlight_max = FALSE,
  spotlight_cat = NULL,
  spotlight_position = NULL,
  labels_with_tick = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)
geom_donut(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  r1 = 1,
  r2 = 0.65,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  spotlight_max = FALSE,
  spotlight_cat = NULL,
  spotlight_position = NULL,
  labels_with_tick = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`init_angle`	Starting angle
`x0`	Init position x
`y0`	Init position y
`r1`	Outer circle radius
`r2`	Inner circle radius, should inferior to `r1` value. `r1` and `r2` values are swapped otherwise.
`color`	Plot border colour
`alpha`	Filling colour transparency [0,1]
`linewidth`	Plot border size
`spotlight_max`	`TRUE` if we want the max value category to drive the positions of all categories
`spotlight_cat`	Should be a value inside categories vector. When it is provided, it is this category position which drives the positions of all categories
`spotlight_position`	It is used to position the category spotlighted. Value should be in `c("top","right", "bottom", "left")`. When a valid `spotlight_cat` is provided or `spotlight_max` is set to `TRUE`, the default `spotlight_position` value is set to `TRUE`
`labels_with_tick`	`TRUE` if we want tick when labelling categories
`labels_family`	Labels font family
`labels_size`	Labels font size
`labels_col`	Labels colour
`labels_hjust`	Labels horizontal adjusting
`labels_vjust`	Labels vertical adjusting
`labels_fontface`	Labels font face
`labels_lineheight`	Labels line height
`tick_lwd`	Ticks Size
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

Examples

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_donut(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_donut(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

Create donut slice plot using Cartesian coordinates system

Description

There are two arguments absolutely needed in aes() mappings:

cat A discrete categories vector.
val A numerical values vector.

Usage

geom_donut_slice(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  slice_angle = 180,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  r1 = 1,
  r2 = 0.65,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  slice_position = NA,
  labels_with_tick = FALSE,
  link_with_origin = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)
geom_donut_slice(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  slice_angle = 180,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  r1 = 1,
  r2 = 0.65,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  slice_position = NA,
  labels_with_tick = FALSE,
  link_with_origin = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`slice_angle`	Pie slice angle
`init_angle`	Starting angle
`x0`	Init position x
`y0`	Init position y
`r1`	Outer circle radius
`r2`	Inner circle radius, should inferior to `r1` value. `r1` and `r2` values are swapped otherwise.
`color`	Plot border colour
`alpha`	Filling colour transparency [0,1]
`linewidth`	Plot border size
`slice_position`	Pie slice position
`labels_with_tick`	`TRUE` if we want tick when labelling categories
`link_with_origin`	`TRUE` if we want to link slice borders with origin
`labels_family`	Labels font family
`labels_size`	Labels font size
`labels_col`	Labels colour
`labels_hjust`	Labels horizontal adjusting
`labels_vjust`	Labels vertical adjusting
`labels_fontface`	Labels font face
`labels_lineheight`	Labels line height
`tick_lwd`	Ticks Size
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

Examples

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_donut_slice(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_donut_slice(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

Create pie plot using Cartesian coordinates system

Description

There are two arguments absolutely needed in aes() mappings:

cat A discrete categories vector.
val A numerical values vector.

Usage

geom_pie(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  radius = 1,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  spotlight_max = FALSE,
  spotlight_cat = NULL,
  spotlight_position = NULL,
  labels_with_tick = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)
geom_pie(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  radius = 1,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  spotlight_max = FALSE,
  spotlight_cat = NULL,
  spotlight_position = NULL,
  labels_with_tick = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`init_angle`	Starting angle
`x0`	Init position x
`y0`	Init position y
`radius`	Driving circle radius
`color`	Plot border colour
`alpha`	Filling colour transparency [0,1]
`linewidth`	Plot border size
`spotlight_max`	`TRUE` if we want the max value category to drive the positions of all categories
`spotlight_cat`	Should be a value inside categories vector. When it is provided, it is this category position which drives the positions of all categories
`spotlight_position`	It is used to position the category spotlighted. Value should be in `c("top","right", "bottom", "left")`. When a valid `spotlight_cat` is provided or `spotlight_max` is set to `TRUE`, the default `spotlight_position` value is set to `TRUE`
`labels_with_tick`	`TRUE` if we want tick when labelling categories
`labels_family`	Labels font family
`labels_size`	Labels font size
`labels_col`	Labels colour
`labels_hjust`	Labels horizontal adjusting
`labels_vjust`	Labels vertical adjusting
`labels_fontface`	Labels font face
`labels_lineheight`	Labels line height
`tick_lwd`	Ticks Size
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

Examples

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_pie(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_pie(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

Create a series of circles plot

Description

geom_series_circles() can be used as an alternative for single or multiple bar charts. It consists of using whole and fragments of circles to represent numerical values. As it draws circles, the geom should use with ggplot2::coord_equal() to maintain the "aspect ratio".

There are two are arguments absolutely needed in aes() mappings:

x A vector mapping the abscissa axis x, i.e. a character vector when x is a numerical vector, or a numerical vector when y is a character vector.
y A vector mapping the ordinate axis y, i.e. a numerical vector when x is a character vector or vice versa. There is a default mapping fill with value black to fill circles/fragments of circles with. It can be used in aes mapping or as a global argument for all the circles.

Usage

geom_series_circles(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = 0,
  r = 0.5,
  color = NA,
  linewidth = 0.5,
  ...
)
geom_series_circles(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = 0,
  r = 0.5,
  color = NA,
  linewidth = 0.5,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`init_angle`	Circle drawing starting angle.
`r`	Circle radius, should be <= 0.5.
`color`	Color of circles/fragments of circles borders.
`linewidth`	Size of circles/fragments of circles borders.
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

Examples

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_series_circles(ggplot2::aes(cat, val)) +
  ggplot2::coord_equal()

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_series_circles(ggplot2::aes(cat, val)) +
  ggplot2::coord_equal()

Create pie slice plot using Cartesian coordinates system

Description

There are two arguments absolutely needed in aes() mappings:

cat A discrete categories vector.
val A numerical values vector.

Usage

geom_slice(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  slice_angle = 180,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  radius = 1,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  slice_position = NA,
  labels_with_tick = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)
geom_slice(
  mapping = NULL,
  data = NULL,
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  slice_angle = 180,
  init_angle = 0,
  x0 = 0,
  y0 = 0,
  radius = 1,
  color = "black",
  alpha = 1,
  linewidth = 0.5,
  slice_position = NA,
  labels_with_tick = FALSE,
  labels_family = "",
  labels_size = 5,
  labels_col = "black",
  labels_hjust = 0.5,
  labels_vjust = 0.5,
  labels_fontface = "plain",
  labels_lineheight = 1.2,
  tick_lwd = 1,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`slice_angle`	Pie slice angle
`init_angle`	Starting angle
`x0`	Init position x
`y0`	Init position y
`radius`	Driving circle radius
`color`	Plot border colour
`alpha`	Filling colour transparency [0,1]
`linewidth`	Plot border size
`slice_position`	Pie slice position
`labels_with_tick`	`TRUE` if we want tick when labelling categories
`labels_family`	Labels font family
`labels_size`	Labels font size
`labels_col`	Labels colour
`labels_hjust`	Labels horizontal adjusting
`labels_vjust`	Labels vertical adjusting
`labels_fontface`	Labels font face
`labels_lineheight`	Labels line height
`tick_lwd`	Ticks Size
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

Examples

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_pie(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_pie(ggplot2::aes(cat = cat, val = val)) +
  ggplot2::coord_equal()

See ggplot2::Geom

Create series of circles labels text

Description

geom_series_text is designed to be used in concert with geom_series_circles. It renders the label mapping to the final position of the series of circles sequence.

There are three arguments absolutely needed in aes() mappings:

x A vector mapping the abscissa axis x, i.e. a character vector when x is a numerical vector, or a numerical vector when y is a character vector.
y A vector mapping the ordinate axis y, i.e. a numerical vector when x is a character vector or vice versa.
label Labels.

Usage

GeomSeriesText

geom_series_text(
  mapping = NULL,
  data = NULL,
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)
GeomSeriesText

geom_series_text(
  mapping = NULL,
  data = NULL,
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

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)`).
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function. Cannot be jointly specified with `nudge_x` or `nudge_y`.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`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()`.
`...`	Other arguments passed on to `layer()`. These are often aesthetics, used to set an aesthetic to a fixed value, like `colour = "red"` or `size = 3`. They may also be parameters to the paired geom/stat.

Format

An object of class GeomSeriesText (inherits from GeomText, Geom, ggproto, gg) of length 1.

Value

A ggplot2 layer.

Examples

my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_series_circles(ggplot2::aes(cat, val)) +
  geom_series_text(ggplot2::aes(cat, val, label = cat)) +
  ggplot2::coord_equal()
my_df <- data.frame(cat = c("Apple", "Banana", "Pineapple"), val = c(2.65, 4.5, 6.25))
my_df |>
  ggplot2::ggplot() +
  geom_series_circles(ggplot2::aes(cat, val)) +
  geom_series_text(ggplot2::aes(cat, val, label = cat)) +
  ggplot2::coord_equal()

See ggplot2::Geom

Description

See ggplot2::Geom

See ggplot2::stat_identity

Description

See ggplot2::stat_identity

Usage

stat_donut(
  mapping = NULL,
  data = NULL,
  geom = "donut",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)
stat_donut(
  mapping = NULL,
  data = NULL,
  geom = "donut",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`geom`	The geometric object to use to display the data, either as a `ggproto` `Geom` subclass or as a string naming the geom stripped of the `geom_` prefix (e.g. `"point"` rather than `"geom_point"`)
`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.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

See ggplot2::stat_identity

Description

See ggplot2::stat_identity

Usage

stat_donut_slice(
  mapping = NULL,
  data = NULL,
  geom = "donut_slice",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)
stat_donut_slice(
  mapping = NULL,
  data = NULL,
  geom = "donut_slice",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`geom`	The geometric object to use to display the data, either as a `ggproto` `Geom` subclass or as a string naming the geom stripped of the `geom_` prefix (e.g. `"point"` rather than `"geom_point"`)
`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.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

See ggplot2::stat_identity

Description

See ggplot2::stat_identity

Usage

stat_pie(
  mapping = NULL,
  data = NULL,
  geom = "pie",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)
stat_pie(
  mapping = NULL,
  data = NULL,
  geom = "pie",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`geom`	The geometric object to use to display the data, either as a `ggproto` `Geom` subclass or as a string naming the geom stripped of the `geom_` prefix (e.g. `"point"` rather than `"geom_point"`)
`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.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

See ggplot2::stat_identity

Description

See ggplot2::stat_identity

Usage

stat_series_circles(
  mapping = NULL,
  data = NULL,
  geom = "series_circles",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = NULL,
  r = NA,
  ...
)
stat_series_circles(
  mapping = NULL,
  data = NULL,
  geom = "series_circles",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  init_angle = NULL,
  r = NA,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`geom`	The geometric object to use to display the data, either as a `ggproto` `Geom` subclass or as a string naming the geom stripped of the `geom_` prefix (e.g. `"point"` rather than `"geom_point"`)
`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.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`init_angle`	Circle drawing starting angle.
`r`	Circle radius, should be <= 0.5.
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

See ggplot2::stat_identity

Description

See ggplot2::stat_identity

Usage

stat_series_text(
  mapping = NULL,
  data = NULL,
  geom = "series_text",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)
stat_series_text(
  mapping = NULL,
  data = NULL,
  geom = "series_text",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

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`	The geometric object to use to display the data, either as a `ggproto` `Geom` subclass or as a string naming the geom stripped of the `geom_` prefix (e.g. `"point"` rather than `"geom_point"`)
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function. Cannot be jointly specified with `nudge_x` or `nudge_y`.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`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()`.
`...`	Other arguments passed on to `layer()`. These are often aesthetics, used to set an aesthetic to a fixed value, like `colour = "red"` or `size = 3`. They may also be parameters to the paired geom/stat.

Value

A ggplot2 layer.

See ggplot2::stat_identity

Description

See ggplot2::stat_identity

Usage

stat_slice(
  mapping = NULL,
  data = NULL,
  geom = "slice",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)
stat_slice(
  mapping = NULL,
  data = NULL,
  geom = "slice",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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`	to be displayed in this layer
`geom`	The geometric object to use to display the data, either as a `ggproto` `Geom` subclass or as a string naming the geom stripped of the `geom_` prefix (e.g. `"point"` rather than `"geom_point"`)
`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.
`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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`inherit.aes`	If `FALSE`, overrides the default aesthetics, rather than combining with them.
`...`	other arguments passed on to `layer()`.

Value

A ggplot2 layer.

See ggplot2::Geom

Description

See ggplot2::Geom

Description

See ggplot2::Geom

Description

See ggplot2::Geom

Description

See ggplot2::Geom

Description

See ggplot2::Geom

Description

See ggplot2::Geom

Package 'ggtricks'

Help Index

Create donut plot using Cartesian coordinates system

Description

Usage

Arguments

Value

Examples

Create donut slice plot using Cartesian coordinates system

Description

Usage

Arguments

Value

Examples

Create pie plot using Cartesian coordinates system

Description

Usage

Arguments

Value

Examples

Create a series of circles plot

Description

Usage

Arguments

Value

Examples

Create pie slice plot using Cartesian coordinates system

Description

Usage

Arguments

Value

Examples

Description

Description

Description

Description

Create series of circles labels text

Description

Usage

Arguments

Format

Value

Examples

Description

Description

Usage

Arguments

Value

Description

Usage

Arguments

Value

Description

Usage

Arguments

Value

Description

Usage

Arguments

Value

Description

Usage

Arguments

Value

Description

Usage

Arguments

Value

Description

Description

Description

Description

Description

Description