ggpalettes

ggpalettes provides 26 original colour palettes and native colour/fill scales for ggplot2. Its compact pal_*() and scale_*() interface will feel familiar to users of scientific palette packages such as ggsci, while the catalogue focuses on balanced, publication-ready colours for the ggcraft ecosystem.

Installation

# install.packages("pak")
# pak::pak("YaoxiangLi/ggpalettes")
install.packages("ggpalettes", repos = c('https://yaoxiangli.r-universe.dev', 'https://cloud.r-project.org'))

Usage

library(ggpalettes)
library(ggplot2)

gg_palette_names()
gg_palette_info(type = "sequential")

# Palette functions: pal_name()(n)
pal_meadow()(6)
pal_aurora()(12)

ggplot(iris, aes(Sepal.Length, Sepal.Width, colour = Species)) +
  geom_point(size = 3) +
  scale_colour_clinical() +
  theme_minimal()

ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
  geom_raster() +
  scale_fill_ember() +
  theme_minimal()

Every palette has pal_*(), scale_color_*(), scale_colour_*(), and scale_fill_*() forms. Generic interfaces are also available:

scale_colour_ggpalette("atelier")
scale_fill_ggpalette("balance")
scale_fill_ggpalette("ocean", binned = TRUE)

Categorical palettes default to discrete scales. Sequential and diverging palettes default to continuous scales, so most plots need no scale-mode argument.

Catalogue

• Categorical: meadow, atelier, clinical, spectrum, pastel, earth, midnight, floral, coastal, and harvest.
• Sequential: aurora, ocean, ember, forest, orchid, slate, sunrise, glacier, berry, and sand.
• Diverging: balance, temperature, earthsky, rosepine, lagoon, and violetgold.

Use gg_palette_plot() to draw all or part of the catalogue. Use gg_palette_check() to screen CIE Lab separation and contrast against a selected background.

gg_palette_plot(type = "diverging", n = 9)
gg_palette_check("meadow", background = "white")

Development status

The public API is tested on Windows, macOS, and Linux through R CMD check.

License

MIT © Yaoxiang Li