knitr::opts_chunk$set( collapse = TRUE, comment = "##", fig.path = "man/figures/" )
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.
iwanthue
palettes can be added directly onto ggplot2 objects via the functions scale_colour_iwanthue()
and scale_fill_iwanthue()
.
The current CRAN version of hues
can be installed with:
install.packages('hues')
The development version of hues
can be installed using install_github
from the devtools
package:
# install.packages('devtools') # uncomment if devtools isn't already installed devtools::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
ggplot2
integrationlibrary(ggplot2) ggplot(iris, aes(x=Petal.Width, y=Petal.Length)) + geom_point(aes(color=Species), size=3) + scale_colour_iwanthue() ggplot(iris, aes(x=Petal.Width, y=Petal.Length)) + geom_point(aes(color=Species), size=3) + scale_colour_iwanthue(hmax = 90) ggplot(iris, aes(x=Petal.Width, y=Petal.Length)) + geom_point(aes(color=Species), size=3) + scale_colour_iwanthue(hmin=0, hmax=300, cmin=60, cmax=180, lmin=73, lmax=100)
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