The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

hues

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 function scale_colour_iwanthue.

Installation

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')

Examples

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 integration

library(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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.