🌈 Wavecolour

GitHub R package versionGitHub

Overview

Convert visible wavelengths to Hex values in R.

Installation

# Install from GitHub:
install.packages("devtools")
# devtools::install_github("roaldarbol/wavecolour")
install.packages("wavecolour", repos = c('https://roaldarbol.r-universe.dev', 'https://cloud.r-project.org'))

Usage

wavecolour supplies 3 low-level functions for converting wavelengths into colour codes:

Additionally, it supplies a colour palette which can be used with ggplot2 as:

The scales are opinionated, and will return black for anything outside the visible spectrum (380 to 750). If you just need a palette with these colours, the rainbow palette is the way to go - however, I would highly advise you to choose a better alternative, e.g. viridis.

Examples

# Create single colour
col <- wavelength_to_hex(560)

# Create palette
wavelengths <- seq(from = 380, to = 750, by = 1)
hex_pal <- sapply(wavelengths, wavelength_to_hex)
rgb_pal <- sapply(wavelengths, wavelength_to_rgb)

image

library(ggplot2)
library(dplyr)
library(wavecolour)

# Create data
wavl <- seq(from = 300, to = 790, length.out = 500)
wavl_sin <- sin((wavl * pi) / (180)) + 1.5
wavl <- bind_cols(wavl, wavl_sin)
names(wavl) <- c("wavelength", "intensity")

# Create plot
ggplot(wavl, aes(wavelength, intensity)) +
  geom_segment(aes(xend=wavelength, yend=0, colour = wavelength), size = 1) +
  geom_line() +
  scale_colour_wavelength() +
  theme_minimal()

image

Acknowledgements

Adapted from Noah's Python implementation, who adapted from Dan Bruton's Fortran implementation.