The goal of nord is to provide access to many northern inspired palettes:
These palettes can be used both with ggplot2
,
lattice
and base R plotting to provide color to charts and
graphics. The palettes in nord
try to split equally between
qualitative, sequential and diverging data, similar to the categories
used in ColorBrewer. Further
information and use of each palette can be found in the vignette.
You can install nord from CRAN:
install.packages("nord")
or you can install the development version of nord from github with:
# install.packages("devtools")
::install_github("jkaupp/nord") devtools
nord
library(nord)
library(purrr)
par(mfrow=c(8, 2), lheight = 2, mar=rep(1, 4), adj = 0)
walk(names(nord_palettes), nord_show_palette)
This is a basic example which shows you how to use the different
features in nord
:
Here is how to use scale_fill_nord()
with
ggplot2
library(ggplot2)
library(nord)
ggplot(diamonds) +
geom_bar(aes(x = cut, fill = clarity)) +
scale_fill_nord("victory_bonds")
Here is using the nord
function, with built in
color-ramping, with the obligatory base r volcano.
image(volcano, col = nord("aurora", 20))
You can view the individual palettes in nord
via
nord_show_palette()
nord_show_palette("baie_mouton")
I started building this package long ago, as part of my own personal
utility packages, as I have been using the nord palettes from ArcticIce
Studioes for quite some time. A few months ago, I read something on the
interwebs stating that work you did that was still private was pretty
much a waste, so share it openly. That struck a chord. Then I read
Maelle Salmon’s “How to Develop
Good R Packages (for open science)”, and was introduced to
usethis
, styler
and goodpractice
.
That was the catalyst for making this package.
I drew inspiration from many color palette packages out there
(viridis
, ochRe
, swatches
,
wesanderson
, RColorBrewer
), and used a lot of
the functions to modernize, streamline and finally create
nord
.