This function sets the color scale for ggplot2 using DOYPAColors color palettes, allowing you to apply these palettes to both discrete and continuous data.
Usage
scale_color_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_color_*` functions.
Value
A `ggplot2` color scale suitable for adding to a `ggplot2` object to control color aesthetics.
Examples
library(ggplot2)
# Discrete data
data(iris)
disc <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Species)) +
geom_point() + theme_classic()
disc <- disc + scale_color_doypa(palette = "buzz", discrete = TRUE)
print(disc)
# Continuous data
cont <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Sepal.Length)) +
geom_point() + theme_classic()
cont <- cont + scale_color_doypa(palette = "buzz")
print(cont)
# Colorblind-friendly palette
disc_colorblind <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Species)) +
geom_point() + theme_classic()
disc_colorblind <- disc_colorblind + scale_color_doypa(colorblind = TRUE, discrete = TRUE)
print(disc_colorblind)
#> DOYPAColors stands for Don't Overthink Your Palette of Colors! Your palette for today is: doypa
