Scientific Journal and Sci-Fi Themed Color Palettes for ggplot2
Introduction
My eyes were finally opened and I understood nature.
I learned at the same time to love it.
— Claude Monet
ggsci offers a collection of high-quality color palettes inspired by colors used in scientific journals, data visualization libraries, science fiction movies, and TV shows. The color palettes in ggsci are available as ggplot2 scales. For all the color palettes, the corresponding scales are named as:
scale_color_palname()scale_fill_palname()
We also provided aliases, such as scale_colour_palname()
for scale_color_palname(). All available color palettes are
summarized in the table below.
| Name | Scales | Palette Types | Palette Generator |
|---|---|---|---|
| NPG | scale_color_npg() scale_fill_npg() |
"nrc" |
pal_npg() |
| AAAS | scale_color_aaas() scale_fill_aaas() |
"default" |
pal_aaas() |
| NEJM | scale_color_nejm() scale_fill_nejm() |
"default" |
pal_nejm() |
| Lancet | scale_color_lancet()
scale_fill_lancet() |
"lanonc" |
pal_lancet() |
| JAMA | scale_color_jama() scale_fill_jama() |
"default" |
pal_jama() |
| BMJ | scale_color_bmj() scale_fill_bmj() |
"default" |
pal_bmj() |
| JCO | scale_color_jco() scale_fill_jco() |
"default" |
pal_jco() |
| UCSCGB | scale_color_ucscgb()
scale_fill_ucscgb() |
"default" |
pal_ucscgb() |
| D3 | scale_color_d3()scale_fill_d3() |
"category10" "category20"
"category20b" "category20c" |
pal_d3() |
| Observable | scale_color_observable()
scale_fill_observable() |
"observable10" |
pal_observable() |
| LocusZoom | scale_color_locuszoom()
scale_fill_locuszoom() |
"default" |
pal_locuszoom() |
| IGV | scale_color_igv() scale_fill_igv() |
"default""alternating" |
pal_igv() |
| COSMIC | scale_color_cosmic()
scale_fill_cosmic() |
"hallmarks_light""hallmarks_dark""signature_substitutions" |
pal_cosmic() |
| UChicago | scale_color_uchicago()
scale_fill_uchicago() |
"default""light""dark" |
pal_uchicago() |
| Star Trek | scale_color_startrek()
scale_fill_startrek() |
"uniform" |
pal_startrek() |
| Tron Legacy | scale_color_tron() scale_fill_tron() |
"legacy" |
pal_tron() |
| Futurama | scale_color_futurama()
scale_fill_futurama() |
"planetexpress" |
pal_futurama() |
| Rick and Morty | scale_color_rickandmorty()
scale_fill_rickandmorty() |
"schwifty" |
pal_rickandmorty() |
| The Simpsons | scale_color_simpsons()
scale_fill_simpsons() |
"springfield" |
pal_simpsons() |
| Flat UI | scale_color_flatui()
scale_fill_flatui() |
"default" "flattastic"
"aussie" |
pal_flatui() |
| Frontiers | scale_color_frontiers()
scale_fill_frontiers() |
"default" |
pal_frontiers() |
| GSEA | scale_color_gsea() scale_fill_gsea() |
"default" |
pal_gsea() |
| Bootstrap 5 | scale_color_bs5() scale_fill_bs5() |
"blue" "indigo""purple"
"pink""red" "orange""yellow" "green""teal"
"cyan""gray" |
pal_bs5() |
| Material Design | scale_color_material()
scale_fill_material() |
"red" "pink""purple"
"deep-purple""indigo"
"blue""light-blue"
"cyan""teal" "green""light-green" "lime""yellow"
"amber""orange"
"deep-orange""brown"
"grey""blue-grey" |
pal_material() |
| Tailwind CSS | scale_color_tw3() scale_fill_tw3() |
"slate" "gray""zinc"
"neutral""stone" "red""orange" "amber""yellow"
"lime""green" "emerald""teal" "cyan""sky"
"blue""indigo" "violet""purple" "fuchsia""pink"
"rose" |
pal_tw3() |
Discrete color palettes
We will use scatterplots with smooth curves, and bar plots to demonstrate the discrete color palettes in ggsci.
library("ggsci")
library("ggplot2")
library("gridExtra")
data("diamonds")
p1 <- ggplot(
subset(diamonds, carat >= 2.2),
aes(x = table, y = price, colour = cut)
) +
geom_point(alpha = 0.7) +
geom_smooth(method = "loess", alpha = 0.05, linewidth = 1, span = 1) +
theme_bw()
p2 <- ggplot(
subset(diamonds, carat > 2.2 & depth > 55 & depth < 70),
aes(x = depth, fill = cut)
) +
geom_histogram(colour = "black", binwidth = 1, position = "dodge") +
theme_bw()NPG
The NPG palette is inspired by the plots in the journals published by Nature Publishing Group:
p1_npg <- p1 + scale_color_npg()
p2_npg <- p2 + scale_fill_npg()
grid.arrange(p1_npg, p2_npg, ncol = 2)
AAAS
The AAAS palette is inspired by the plots in the journals published by American Association for the Advancement of Science:
p1_aaas <- p1 + scale_color_aaas()
p2_aaas <- p2 + scale_fill_aaas()
grid.arrange(p1_aaas, p2_aaas, ncol = 2)
NEJM
The NEJM palette is inspired by the plots in the New England Journal of Medicine:
p1_nejm <- p1 + scale_color_nejm()
p2_nejm <- p2 + scale_fill_nejm()
grid.arrange(p1_nejm, p2_nejm, ncol = 2)
Lancet
The Lancet palette is inspired by the plots in Lancet journals, such as Lancet Oncology:
p1_lancet <- p1 + scale_color_lancet()
p2_lancet <- p2 + scale_fill_lancet()
grid.arrange(p1_lancet, p2_lancet, ncol = 2)