By default, ggplot2 chooses to use a specific shade of red, green, and blue for the bars.
The default colors in ggplot2 can be difficult to distinguish from one another because they have equal luminance. They are also not friendly for colorblind viewers.
Navigate to Tools → Global options → Appearance and switch the theme in the Editor Theme option. By default, you will have the Textmate theme activated. There is a wide in-built variety of themes to choose, from light to dark themes.
It is just equally spaced hues around the color wheel, starting from 15:
gg_color_hue <- function(n) {
hues = seq(15, 375, length = n + 1)
hcl(h = hues, l = 65, c = 100)[1:n]
}
For example:
n = 4
cols = gg_color_hue(n)
dev.new(width = 4, height = 4)
plot(1:n, pch = 16, cex = 2, col = cols)
This is the result from
library(scales)
show_col(hue_pal()(4))
show_col(hue_pal()(3))
These answers are all very good, but I wanted to share another thing I discovered on stackoverflow that is really quite useful, here is the direct link
Basically, @DidzisElferts shows how you can get all the colours, coordinates, etc that ggplot uses to build a plot you created. Very nice!
p <- ggplot(mpg,aes(x=class,fill=class)) + geom_bar()
ggplot_build(p)$data
[[1]]
fill y count x ndensity ncount density PANEL group ymin ymax xmin xmax
1 #F8766D 5 5 1 1 1 1.111111 1 1 0 5 0.55 1.45
2 #C49A00 47 47 2 1 1 1.111111 1 2 0 47 1.55 2.45
3 #53B400 41 41 3 1 1 1.111111 1 3 0 41 2.55 3.45
4 #00C094 11 11 4 1 1 1.111111 1 4 0 11 3.55 4.45
5 #00B6EB 33 33 5 1 1 1.111111 1 5 0 33 4.55 5.45
6 #A58AFF 35 35 6 1 1 1.111111 1 6 0 35 5.55 6.45
7 #FB61D7 62 62 7 1 1 1.111111 1 7 0 62 6.55 7.45
From page 106 of the ggplot2 book by Hadley Wickham:
The default colour scheme, scale_colour_hue picks evenly spaced hues around the hcl colour wheel.
With a bit of reverse engineering you can construct this function:
ggplotColours <- function(n = 6, h = c(0, 360) + 15){
if ((diff(h) %% 360) < 1) h[2] <- h[2] - 360/n
hcl(h = (seq(h[1], h[2], length = n)), c = 100, l = 65)
}
Demonstrating this in barplot:
y <- 1:3
barplot(y, col = ggplotColours(n = 3))
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