Package 'gglgbtq'

Apply gglgbtq scales

Description

These functions provide a shorthand for passing palette_lgbtq() to values parameter of an appropriate ggplot2 scale.

Usage

scale_color_lgbtq(values, ...)

scale_colour_lgbtq(values, ...)

scale_fill_lgbtq(values, ...)

Arguments

values	character(1) Name of the flag the colors are based on.
...	ANY Arguments passed to ggplot2::scale_color_manual().

Value

A scale to be used with a ggplot2 object.

Examples

data <- data.frame(
  x = 1:10, y = 15:6,
  group = rep(c("a", "b"), each = 5)
)

# Instead of specifying scale_color_manual()
ggplot2::ggplot(data, ggplot2::aes(x = x, y = y, color = group)) +
  ggplot2::geom_point(size = 4) +
  ggplot2::scale_color_manual(values = palette_lgbtq("intersex"))

# One can use scale_color_lgbtq()
ggplot2::ggplot(data, ggplot2::aes(x = x, y = y, color = group)) +
  ggplot2::geom_point(size = 4) +
  scale_color_lgbtq("intersex")

---

Get one of LGBTQ palettes

Description

Returns a palette object with colors based on a specified LGBTQ flag. Note: the number of colors vary between palettes!

Usage

palette_lgbtq(name)

Arguments

name	character(1) Name of the flag the colors are based on.

Value

An lgbtq_palette object containing a vector of RGB color codes as strings.

Available palettes

Currently available palettes are:

• rainbow (6 colors)

• lesbian (5 colors)

• gay (5 colors)

• bisexual (3 colors)

• transgender (3 colors)

• asexual (4 colors)

• intersex (2 colors)

• nonbinary (4 colors)

• philadelphia (8 colors)

• progress (11 colors)

• aromantic (5 colors)

• acesthetic (4 colors)

• analterous (4 colors)

• asensual (4 colors)

• ace_spectrum (4 colors)

• aro_spectrum (5 colors)

• aroace (5 colors)

• alloace (4 colors)

• aroallo (5 colors)

• pansexual (3 colors)

• androsexual (3 colors)

• gynesexual (3 colors)

• abrosexual (5 colors)

• lesbian_7 (7 colors)

• gay_7 (7 colors)

• demiboy (4 colors)

• demigirl (4 colors)

• helian (5 colors)

• lunarian (5 colors)

• solarian (5 colors)

• stellarian (5 colors)

• genderfluid (5 colors)

• genderqueer (3 colors)

• agender (4 colors)

• bigender (6 colors)

• amatopunk (5 colors)

• bear (7 colors)

• butch (7 colors)

• femme (5 colors)

• otter (5 colors)

• queerhet (5 colors)

Examples

palette_lgbtq("bisexual")

data <- data.frame(
  x = 1:10, y = 15:6,
  group = rep(c("a", "b"), each = 5)
)

ggplot2::ggplot(data, ggplot2::aes(x = x, y = y, color = group)) +
  ggplot2::geom_point(size = 4) +
  ggplot2::scale_color_manual(values = palette_lgbtq("intersex"))

---

List available palettes

Description

Shows the names of available LGBTQ palettes and their metadata.

Usage

show_pride()

Value

A data.frame with palette names and numbers of colors.

Examples

show_pride()

---

Use default theme for an LGBTQ palette

Description

Provides a default theme for a given palette. Most LGBTQ flags contain white, for which the default light gray background of ggplot2 is too light. Conversely, this same gray is too dark for flags with yellow stripes. LGBTQ themes are carefully curated for each palette.

Usage

theme_lgbtq(name, ...)

Arguments

name	character(1) Name of the flag the colors are based on.
...	ANY Parameters passed to ggplot2::theme().

Value

A ggplot2 theme object.

Available palettes

Currently available palettes are:

• rainbow (6 colors)

• lesbian (5 colors)

• gay (5 colors)

• bisexual (3 colors)

• transgender (3 colors)

• asexual (4 colors)

• intersex (2 colors)

• nonbinary (4 colors)

• philadelphia (8 colors)

• progress (11 colors)

• aromantic (5 colors)

• acesthetic (4 colors)

• analterous (4 colors)

• asensual (4 colors)

• ace_spectrum (4 colors)

• aro_spectrum (5 colors)

• aroace (5 colors)

• alloace (4 colors)

• aroallo (5 colors)

• pansexual (3 colors)

• androsexual (3 colors)

• gynesexual (3 colors)

• abrosexual (5 colors)

• lesbian_7 (7 colors)

• gay_7 (7 colors)

• demiboy (4 colors)

• demigirl (4 colors)

• helian (5 colors)

• lunarian (5 colors)

• solarian (5 colors)

• stellarian (5 colors)

• genderfluid (5 colors)

• genderqueer (3 colors)

• agender (4 colors)

• bigender (6 colors)

• amatopunk (5 colors)

• bear (7 colors)

• butch (7 colors)

• femme (5 colors)

• otter (5 colors)

• queerhet (5 colors)

Examples

data <- data.frame(
  x = 1:10, y = 15:6,
  group = rep(c("a", "b"), each = 5)
)

ggplot2::ggplot(data, ggplot2::aes(x = x, y = y, color = group)) +
  ggplot2::geom_point(size = 4) +
  scale_color_lgbtq("intersex") +
  # Use the same name as for values, preferably
  theme_lgbtq("intersex")

---