knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "figure/", fig.height = 1 )
This is a shameless theft/mashup of:
wesanderson
paletteNote: I am (red-green) colourblind. I have no idea whether these colours make sense for data visualisation. Maybe use viridis
if you want people like me to be able to see your plots :)
devtools::install_github("dill/beyonce")
library(beyonce)
par(mfrow=c(26,5)) for(i in 1:130) print(beyonce_palette(i))
library(ggplot2) ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) + geom_point(size = 3) + scale_color_manual(values = beyonce_palette(18)) + theme_gray()
qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(vs)) + scale_fill_manual(values = beyonce_palette(72))
pal <- beyonce_palette(123, 21, type = "continuous") image(volcano, col = pal, asp=1)
pal <- beyonce_palette(3, 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()
If you just like the hex values of the palettes, they are available at this gist (one per line).
With apologies, DLM
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