mpd_select_colours: Select colours from a palette to maximize perceptual distance...
In woobe/rPlotter: rPlotter: Easy Plotting in R

Description Usage Arguments Value

View source: R/mpd_select_colours.R

This function takes a palette as a character vector of hexidecimal colours, and returns a smaller palette, attempting to maximize the mean perceptual distance (MPD) between the colours in the new palette. It uses CIELAB colorspace to map colour to a perceptually meaningful scale before maximizing distances

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mpd_select_colours(pal, sat.thresh = NULL, light.thresh = NULL,
  dark.thresh = NULL, nreps = 10000, ncolours = ceiling(length(pal)/2),
  nreturn = 1)

`pal`	A palette as a character vector containing hexidecimal coded colours
`sat.thresh`	Minimum saturation of colours in resulting palette (between 0 and 1)
`light.thresh`	Maximum luminosity of colours in resulting palette (between 0 and 1)
`dark.thresh`	Minimum luminosity of colours in resulting palette (between 0 and 1)
`nreps`	The number of samples of the new colour palette to perform for brute force optimization of MPD
`ncolours`	The number of colours to select for the new palette
`nreturn`	The number of palettes to return

If nreturn > 1 then a list of length nreturn, each element of which is a character vector of length ncolours consisting of hexidecimal colour codes, else a character vector of length ncolours consisting of hexidecimal colour codes

woobe/rPlotter documentation built on May 4, 2019, 9:48 a.m.