distinct_colors: Create a color palette

In compbiomed/celda: CEllular Latent Dirichlet Allocation

Description

Generate a palette of 'n' distinct colors.

Usage

distinct_colors(n, hues = c("red", "cyan", "orange", "blue", "yellow",
  "purple", "green", "magenta"), saturation.range = c(0.7, 1),
  value.range = c(0.7, 1))

Arguments

n	Integer. Number of colors to generate.
hues	Character vector. Colors available from 'colors()'. These will be used as the base colors for the clustering scheme in HSV. Different saturations and values will be generated for each hue. Default c("red", "cyan", "orange", "blue", "yellow", "purple", "green", "magenta").
saturation.range	Numeric vector. A vector of length 2 denoting the saturation for HSV. Values must be in [0,1]. Default: c(0.25, 1).
value.range	Numeric vector. A vector of length 2 denoting the range of values for HSV. Values must be in [0,1]. Default: 'c(0.5, 1)'.

Value

A vector of distinct colors that have been converted to HEX from HSV.

Examples

color.pal = distinct_colors(6)  # can be used in plotting functions

compbiomed/celda documentation built on May 25, 2019, 3:58 a.m.