beeysian/citron

Jacquemus-themed colour palettes for Sarah's MPhil thesis

citRon: Jacquemus-themed colour palettes for Sarah's MPhil thesis

Jacquemus is a French fashion label headed by Simon Porte Jacquemus that has achieved cult status over the past couple of years thanks to its whimsical, casual styles and eyebrow-raising accessories (the most famous being a tiny bag incapable of holding much more than a single key). I love how the label uses bold colours, and found inspiration in Jacquemus' Spring '19 and '20 collections when coming up with a colour palette for my thesis plots.

Citrus fruits often feature as props in Jacquemus editorials, and Jacquemus himself owns a cafe called "Citron", hence the package name citRon ("lemon" in English).

citRon includes a qualitative palette, a diverging palette, and various gradient palettes. Particular shades have been chosen because I have been lead to believe that I have chosen shades and combinations that are colourblind-friendly, but I am more than happy to entertain any suggestions or tweaks that could be made.

These palettes have been constructed with a specific use in mind, especially citron_grad_blue8, so do keep in mind that these will not always be useful or attractive for your circumstances.

This package, including the format of this vignette, has been copied-and-edited from the ochRe package by Holly Kirk et. al.

# ochRe can be downloaded here:
devtools::install_github("ropenscilabs/ochRe")

# Load the citRon vignette
vignette("citRon")

Installation

To install citRon from GitHub:

# A reminder that you need to install the 'devtools' package first.
devtools::install_github("beeysian/citRon")

To load the library:

library(citRon)

The Palettes

pal_names <- names(citron_palettes)
par(mfrow = c(length(citron_palettes)/2, 2), lheight = 2, mar = rep(1, 4), adj = 0)
for (i in 1:length(citron_palettes)){
    viz_palette(citron_palettes[[i]], pal_names[i])
}

Example

The default palette is the qualitative palette.

library(citRon)
library(ggplot2)
ggplot(diamonds) + geom_bar(aes(x = cut, fill = clarity)) +
  scale_fill_citron()

The order that colours appear can be reversed by setting reverse = FALSE. Below is the qualitative palette reversed:

library(citRon)
library(ggplot2)
ggplot(diamonds) + geom_bar(aes(x = cut, fill = clarity)) +
  scale_fill_citron(reverse = FALSE)

You can change the colour palette used within scale_fill_citron(). Below is the diverging palette.

library(citRon)
library(ggplot2)
ggplot(diamonds) + geom_bar(aes(x = cut, fill = clarity)) +
  scale_fill_citron(palette = "citron_div")

Here's the purple-yellow gradient palette using scale_colour_citron() instead. Isn't it pretty?

library(citRon)
library(ggplot2)
ggplot(diamonds) + geom_point(aes(x = carat, y = price, color = clarity)) +
  scale_colour_citron(palette = "citron_grad")