I saved you from boring plots. What did you ever do? - Max Fischer (probably)
Tired of generic mass produced palettes for your plots? Short of adding an owl and dressing up your plot in a bowler hat, hereβs the most indie thing you can do to one. First round of palettes derived from the amazing Tumblr blog Wes Anderson Palettes.
install.packages("wesanderson")
Or the development version
devtools::install_github("karthik/wesanderson")
library("wesanderson")
# See all palettes
names(wes_palettes)
#> [1] "BottleRocket1" "BottleRocket2" "Rushmore1" "Rushmore"
#> [5] "Royal1" "Royal2" "Zissou1" "Darjeeling1"
#> [9] "Darjeeling2" "Chevalier1" "FantasticFox1" "Moonrise1"
#> [13] "Moonrise2" "Moonrise3" "Cavalcanti1" "GrandBudapest1"
#> [17] "GrandBudapest2" "IsleofDogs1" "IsleofDogs2" "FrenchDispatch"
#> [21] "AsteroidCity1" "AsteroidCity2" "AsteroidCity3"
wes_palette("BottleRocket1")
wes_palette("BottleRocket2")
wes_palette("Rushmore1")
wes_palette("Royal1")
wes_palette("Royal2")
library("ggplot2")
ggplot(mtcars, aes(factor(cyl), fill=factor(vs))) + geom_bar() +
scale_fill_manual(values = wes_palette("Royal1"))
wes_palette("Zissou1")
pal <- wes_palette("Zissou1", 21, type = "continuous")
image(volcano, col = pal)
pal <- wes_palette("Zissou1", 100, type = "continuous")
# heatmap is a local dataset
ggplot(heatmap, aes(x = X2, y = X1, fill = value)) +
geom_tile() +
scale_fill_gradientn(colours = pal) +
scale_x_discrete(expand = c(0, 0)) +
scale_y_discrete(expand = c(0, 0)) +
coord_equal()
wes_palette("Darjeeling1")
wes_palette("Darjeeling2")
wes_palette("Chevalier1")
wes_palette("FantasticFox1")
wes_palette("Moonrise1")
wes_palette("Moonrise2")
wes_palette("Moonrise3")
wes_palette("Cavalcanti1")
wes_palette("GrandBudapest1")
wes_palette("GrandBudapest2")
wes_palette("IsleofDogs1")
wes_palette("IsleofDogs2")
wes_palette("FrenchDispatch")
wes_palette("AsteroidCity1")
wes_palette("AsteroidCity2")
wes_palette("AsteroidCity3")
- The environmental niche of the global high seas pelagic longline fleet Science Advances 08 Aug 2018