Creating effective colour palettes for figures is challenging. This package generates and plot palettes of optimally distinct colours in perceptually uniform colour space, based on 'iwanthue' < http://tools.medialab.sciences-po.fr/iwanthue/>. This is done through k-means clustering of CIE Lab colour space, according to user-selected constraints on hue, chroma, and lightness.
This package generates and plot palettes of optimally distinct colours in perceptually uniform colour space, based on iwanthue. This is done through k-means clustering of CIE Lab colour space, according to user-selected constraints on hue, chroma, and lightness.
The development version of hues
can be installed using install_github
from the devtools
package:
# install.packages('devtools') # uncomment if devtools isn't already installeddevtools::install_github('johnbaums/hues')
The examples below show palettes corresponding to some presets given at the iwanthue website.
library(hues)iwanthue(5, plot=TRUE)
iwanthue(5, 0, 240, 0, 24, 0, 100, plot=TRUE) # shades
iwanthue(5, 0, 360, 0, 54, 67, 100, plot=TRUE) # pastel
iwanthue(5, 0, 360, 54, 180, 27, 67, plot=TRUE) # pimp
iwanthue(5, 0, 360, 36, 180, 13, 73, plot=TRUE) # intense
iwanthue(3, 0, 300, 60, 180, 73, 100, plot=TRUE) # fluoro
iwanthue(3, 220, 260, 12, 150, 0, 53, plot=TRUE) # blue ocean