Fill scale for ggplot2 with DOYPAColors color palettes — scale_fill

This function sets the fill scale for ggplot2 using DOYPAColors color palettes, allowing you to use these palettes in your ggplot2 visualizations for both discrete and continuous data.

Usage

scale_fill_doypa(
  palette = NULL,
  n = NULL,
  reverse = FALSE,
  gradient = FALSE,
  discrete = FALSE,
  type = "all",
  colorblind = FALSE,
  ...
)

Arguments

palette: A character string specifying the name of the palette to use. If `NULL`, a random palette will be selected.
n: Number of colors needed. If `NULL`, it will default to the number of levels for discrete scales or to a continuous gradient for continuous scales.
reverse: A logical value indicating whether to reverse the order of colors in the palette. Default is `FALSE`.
gradient: A logical value indicating whether to interpolate colors as a gradient of `n` colors between the first and last colors of the palette. If `FALSE`, returns the first `n` colors of the palette.
discrete: Boolean indicating whether to generate a discrete or continuous palette (default: continuous).
type: A character string specifying the type of palettes to select from: "all", "seq" (sequential), "div" (diverging), or "qual" (qualitative). Default is "all".
colorblind: A logical value indicating whether to restrict the palette to colorblind-friendly options. Default is `FALSE`.
...: Additional parameters passed to ggplot2's `scale_fill_*` functions.

Value

A `ggplot2` fill scale suitable for adding to a `ggplot2` object to control fill aesthetics.

Examples

library(ggplot2)

# Discrete data
data(iris)
disc <- ggplot(iris, aes(x = Species, y = Petal.Length, fill = Species)) +
  geom_boxplot() + theme_classic()
disc <- disc + scale_fill_doypa(palette = "buzz", discrete = TRUE)
print(disc)


# Continuous data
cont <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) + 
  geom_tile() + theme_classic()
cont <- cont + scale_fill_doypa(palette = "buzz")
print(cont)


# Colorblind-friendly palette
disc_colorblind <- ggplot(iris, aes(x = Species, y = Petal.Length, fill = Species)) +
  geom_boxplot() + theme_classic()
disc_colorblind <- disc_colorblind + scale_fill_doypa(colorblind = TRUE, discrete = TRUE)
print(disc_colorblind)
#> Ta-da! A surprise with the 'doypa' palette, just for you. Don't stress the small stuff!