问题
I am curious if you have some tips on colour-brewing in R, for many distinctive colours, in a way that the graph is still good-looking.
I need a fair amount of distinctive colours (24 at least, probably will need even more, ~50) for stacked area plots (so not heatmaps, gradual colours would not work). I came across viridis, that has really pretty palettes, which also work for colourblind people. Unfortunatelly those do not have enough colours to still be distinguishable on my plots.
I looked into other packages/palettes too, after spending some time on google (this post was particularly cool: How to generate a number of most distinctive colors in R?), but did not find anything that had enough colours AND still looked good.
How do you make a graph good looking when 24+ colours are needed?
回答1:
You can try either randomcoloR (up to 40 distinct colors) or pals (up to 26 colors).
# k: number of colors (>= 1). May be ineffective for k > 40.
library(randomcoloR)
nColor <- 40
myColor <- randomcoloR::distinctColorPalette(k = 40)
pie(rep(1, nColor), col = myColor)
# https://cran.r-project.org/web/packages/pals/vignettes/pals_examples.html
library(pals)
labs = c('alphabet', 'alphabet2', 'glasbey', 'kelly', 'polychrome')
op = par(mar = c(0, 5, 3, 1))
pal.bands(alphabet(), alphabet2(), glasbey(), kelly(), polychrome(),
labels = labs, show.names = FALSE)
Created on 2018-05-13 by the reprex package (v0.2.0).
来源：https://stackoverflow.com/questions/50321000/r-colors-many-distinctive-colors-that-are-still-pretty