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() |
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() |
LocusZoom | scale_color_locuszoom() scale_fill_locuszoom() |
"default" |
pal_locuszoom() |
IGV | scale_color_igv() scale_fill_igv() |
"default" "alternating" |
pal_igv() |
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() |
GSEA | scale_color_gsea() scale_fill_gsea() |
"default" |
pal_gsea() |
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() |
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, size = 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()
The NPG palette is inspired by the plots in the journals published by
The AAAS palette is inspired by the plots in the journals published by
The NEJM palette is inspired by the plots in
The Lancet palette is inspired by the plots in
The JAMA palette is inspired by the plots in
The JCO palette is inspired by the the plots in
The UCSCGB palette is from the colors used by UCSC Genome Browser for representing chromosomes. This palette has been intensively used in visualizations produced by Circos.
The D3 palette is from the categorical colors used by D3.js (version 3.x and before). There are four palette types (category10
, category20
, category20b
, category20c
) available.
The LocusZoom palette is based on the colors used by LocusZoom.
The IGV palette is from the colors used by Integrative Genomics Viewer for representing chromosomes. There are two palette types (default
, alternating
) available.
The UChicago palette is based on the colors used by the default
, light
, dark
) available.
This palette is inspired by the (uniform) colors in
This palette is inspired by the colors used in
p1_tron = p1 + theme_dark() + theme(
panel.background = element_rect(fill = "#2D2D2D"),
legend.key = element_rect(fill = "#2D2D2D")) +
scale_color_tron()
p2_tron = p2 + theme_dark() + theme(
panel.background = element_rect(fill = "#2D2D2D")) +
scale_fill_tron()
grid.arrange(p1_tron, p2_tron, ncol = 2)
This palette is inspired by the colors used in the TV show
This palette is inspired by the colors used in the TV show
This palette is inspired by the colors used in the TV show
We will use a correlation matrix visualization (a special type of heatmap) to demonstrate the continuous color palettes in ggsci
.
library("reshape2")
data("mtcars")
cor = cor(unname(cbind(mtcars, mtcars, mtcars, mtcars)))
cor_melt = melt(cor)
p3 = ggplot(cor_melt,
aes(x = Var1, y = Var2, fill = value)) +
geom_tile(colour = "black", size = 0.3) +
theme_bw() +
theme(axis.title.x = element_blank(),
axis.title.y = element_blank())
The GSEA palette (continuous) is inspired by the heatmaps generated by GSEA GenePattern.
The
We generate a random matrix first:
library("reshape2")
set.seed(42)
k = 9
x = diag(k)
x[upper.tri(x)] = runif(sum(1:(k - 1)), 0, 1)
x_melt = melt(x)
p4 = ggplot(x_melt, aes(x = Var1, y = Var2, fill = value)) +
geom_tile(colour = "black", size = 0.3) +
scale_x_continuous(expand = c(0, 0)) +
scale_y_continuous(expand = c(0, 0)) +
theme_bw() + theme(
legend.position = "none", plot.background = element_blank(),
axis.line = element_blank(), axis.ticks = element_blank(),
axis.text.x = element_blank(), axis.text.y = element_blank(),
axis.title.x = element_blank(), axis.title.y = element_blank(),
panel.background = element_blank(), panel.border = element_blank(),
panel.grid.major = element_blank(), panel.grid.minor = element_blank())
Plot the matrix with the 19 material design color palettes:
grid.arrange(
p4 + scale_fill_material("red"), p4 + scale_fill_material("pink"),
p4 + scale_fill_material("purple"), p4 + scale_fill_material("deep-purple"),
p4 + scale_fill_material("indigo"), p4 + scale_fill_material("blue"),
p4 + scale_fill_material("light-blue"), p4 + scale_fill_material("cyan"),
p4 + scale_fill_material("teal"), p4 + scale_fill_material("green"),
p4 + scale_fill_material("light-green"), p4 + scale_fill_material("lime"),
p4 + scale_fill_material("yellow"), p4 + scale_fill_material("amber"),
p4 + scale_fill_material("orange"), p4 + scale_fill_material("deep-orange"),
p4 + scale_fill_material("brown"), p4 + scale_fill_material("grey"),
p4 + scale_fill_material("blue-grey"),
ncol = 6)
From the figure above, we can see that even though an identical matrix was visualized by all plots, some palettes are more preferrable than the others because our eyes are more sensitive to the changes of their saturation levels.
To apply the color palettes in ggsci
to other graphics systems (such as base graphics and lattice graphics), simply use the palette generator functions in the table above. For example:
## [1] "#E64B35B2" "#4DBBD5B2" "#00A087B2" "#3C5488B2" "#F39B7FB2" "#8491B4B2"
## [7] "#91D1C2B2" "#DC0000B2" "#7E6148B2"
You will be able to use the generated hex color codes for such graphics systems accordingly. The transparent level of the entire palette is easily adjustable via the argument "alpha"
in every generator or scale function.
Please note some of the palettes might not be the best choice for certain purposes, such as color-blind safe, photocopy safe, or print friendly. If you do have such considerations, you might want to check out color palettes like ColorBrewer and viridis.
The color palettes in this package are solely created for research purposes. The authors are not responsible for the usage of such palettes.