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.
scale_colour_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50", aesthetics = "colour") scale_fill_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50", aesthetics = "fill")
... | Arguments passed on to
|
---|---|
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 |
aesthetics | Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful, for
example, to apply colour settings to the |
Other colour scales: scale_alpha
,
scale_colour_brewer
,
scale_colour_gradient
,
scale_colour_grey
,
scale_colour_viridis_d
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)# 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")