In nsgrantham/disco: Discrete Color Palettes for Qualitative, Sequential, and Diverging Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-"
)

disco

This package provides 9 discrete color palettes developed by Paul Tol at https://personal.sron.nl/~pault/ for qualitative, diverging, and sequential data. Colors within each palette are designed to match well together and be readable by all audiences, including color-blind readers.

Installation

disco can be installed directly from GitHub:

# install.packages("devtools")
devtools::install_github("nsgrantham/disco")

Palettes

The disco API is similar to other color palette packages like viridis and scico.

View all 9 color palettes with disco_palettes_show()

library(disco)

disco_palette_show()

The following table summarizes the 9 color palettes. For more information, consult Paul Tol's Notes https://personal.sron.nl/~pault/.

| Palette | n | Data type | Description | |--------------|------------------|-----------|-------------| |bright|7|Qualitative|Good for lines and their labels.| |vibrant|7|Qualitative|Built around the signature orange #FF7043 of the data visualization framework TensorBoard.| |muted|10|Qualitative|Good for lines and maps.| |light|9|Qualitative|Good for filled cells and backgrounds because it keeps black text readable.| |sunset|11|Diverging|This is related to the ColorBrewer RdYlBu scheme, but with darker central colours and made more symmetric.| |daybreak|9|Diverging|This is the reversed ColorBrewer RdBu scheme.| |midnight|9|Diverging|This is the ColorBrewer PRGn scheme, with green #A6DBA0 shifted to #ACD39E to make it print-friendly.| |eclipse|9|Sequential|This is the ColorBrewer YlOrBr scheme, with orange #FE9929 shifted to #FB9A29 to make it print-friendly.| |rainbow|23|Sequential|This should not be used on a continuous scale, but on a discrete scale it offers up to 23 colors and remains relatively color-blind safe.|

Select a palette by name:

disco(palette = "sunset")

Scales are provided for ggplot2:

library(ggplot2)
library(dplyr)
library(gapminder)

ggplot(filter(gapminder, year == 2007), aes(gdpPercap, lifeExp, size = pop, color = continent)) +
  geom_point() +
  scale_color_disco(palette = "vibrant")

Happy plotting!

References

https://www.colorbrewer2.org by Cynthia A. Brewer, Geography, Pennsylvania State University
https://personal.sron.nl/~pault/ by Paul Tol, Netherlands Institute for Space Research (SRON)

nsgrantham/disco documentation built on May 3, 2019, 11:52 p.m.