README.md

In dill/beyonce: A Beyoncé Palette Generator

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Beyoncé Palettes

This is a shameless theft/mashup of:

1. Brendan Hurr's idea (also Karthik's) from Noam Ross's tweet
2. Code from Karthik Ram's wesanderson palette
3. Foremost: the 130 amazing palettes from beyoncepalettes.tumblr.com

Note: I am (red-green) colourblind. I have no idea whether these colours make sense for data visualisation. Maybe use viridis if you want people like me to be able to see your plots :)

Installation

devtools::install_github("dill/beyonce")

Usage

library(beyonce)

par(mfrow=c(26,5))
for(i in 1:130) print(beyonce_palette(i))

library(ggplot2)
ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) +
  geom_point(size = 3) +
  scale_color_manual(values = beyonce_palette(18)) +
  theme_gray()

qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(vs)) +
  scale_fill_manual(values = beyonce_palette(72))

pal <- beyonce_palette(123, 21, type = "continuous")
image(volcano, col = pal, asp=1)

pal <- beyonce_palette(3, 100, type = "continuous")
# heatmap is a local dataset
ggplot(heatmap, aes(x = X2, y = X1, fill = value)) +
  geom_tile() +
  scale_fill_gradientn(colours = pal) +
  scale_x_discrete(expand = c(0, 0)) +
  scale_y_discrete(expand = c(0, 0)) +
  coord_equal()

With apologies, DLM

dill/beyonce documentation built on May 15, 2019, 8:29 a.m.