Description
viridisLite
, and its companion package viridis
provide a series of color maps that are designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing.
viridisLite
provides the base functions for generating the color maps in base R
. The package is meant to be as lightweight and dependency-free as possible for maximum compatibility with all the R
ecosystem. viridis
provides additional functionalities, in particular bindings for ggplot2
.
The color maps
The latest version of viridisLite
comes with 8 different color maps, and they are all very pretty!!!
Installation
You can install viridisLite
from CRAN
by typing the following line in your R console:
{r} install.packages("viridisLite") library(viridisLite)
If you prefer to install the development version from this GitHub repository, simply copy the following lines of code in your R terminal and it should install everything you need to use viridisLite
on your computer:
```{r} if (!require(“devtools”)) install.packages(“devtools”)
devtools::install_github(“sjmgarnier/viridisLite”) library(viridisLite) ```
References
The color maps viridis
, magma
, inferno
, and plasma
were created by Stéfan van der Walt (@stefanv) and Nathaniel Smith (@njsmith). If you want to know more about the science behind the creation of these color maps, you can watch this presentation of viridis
by their authors at SciPy 2015.
The color map cividis
is a corrected version of ‘viridis’, developed by Jamie R. Nuñez, Christopher R. Anderton, and Ryan S. Renslow, and originally ported to R
by Marco Sciaini (@msciain). More info about cividis
can be found in this paper.
The color maps mako
and rocket
were originally created for the Seaborn
statistical data visualization package for Python. More info about mako
and rocket
can be found on the Seaborn
website.
The color map turbo
was developed by Anton Mikhailov to address the shortcomings of the Jet rainbow color map such as false detail, banding and color blindness ambiguity. More infor about turbo
can be found here.