scale_colour_hue

0th

Percentile

Evenly spaced colours for discrete data

This is the default colour scale for categorical variables. It maps each level to an evenly spaced hue on the colour wheel. It does not generate colour-blind safe palettes.

Usage
scale_colour_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50")
scale_fill_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50")
Arguments
...
Other arguments passed on to discrete_scale to control name, limits, breaks, labels and so forth.
h
range of hues to use, in [0, 360]
c
chroma (intensity of colour), maximum value varies depending on combination of hue and luminance.
l
luminance (lightness), in [0, 100]
h.start
hue to start at
direction
direction to travel around the colour wheel, 1 = clockwise, -1 = counter-clockwise
na.value
Colour to use for missing values
See Also

Other colour scales: scale_alpha, scale_colour_brewer, scale_colour_gradient, scale_colour_grey

Aliases
  • scale_colour_hue
  • scale_fill_hue
  • scale_colour_discrete
  • scale_fill_discrete
  • scale_color_discrete
  • scale_color_hue
Examples
library(ggplot2) dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity))) # Change scale label d + scale_colour_hue() d + scale_colour_hue("clarity") d + scale_colour_hue(expression(clarity[beta])) # Adjust luminosity and chroma d + scale_colour_hue(l = 40, c = 30) d + scale_colour_hue(l = 70, c = 30) d + scale_colour_hue(l = 70, c = 150) d + scale_colour_hue(l = 80, c = 150) # Change range of hues used d + scale_colour_hue(h = c(0, 90)) d + scale_colour_hue(h = c(90, 180)) d + scale_colour_hue(h = c(180, 270)) d + scale_colour_hue(h = c(270, 360)) # Vary opacity # (only works with pdf, quartz and cairo devices) d <- ggplot(dsamp, aes(carat, price, colour = clarity)) d + geom_point(alpha = 0.9) d + geom_point(alpha = 0.5) d + geom_point(alpha = 0.2) # Colour of missing values is controlled with na.value: miss <- factor(sample(c(NA, 1:5), nrow(mtcars), replace = TRUE)) ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(colour = miss)) ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(colour = miss)) + scale_colour_hue(na.value = "black")
Documentation reproduced from package ggplot2, version 2.2.1, License: GPL-2 | file LICENSE

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