Smooth gradient between two colours
scale_*_gradient creates a two colour gradient (low-high),
scale_*_gradient2 creates a diverging colour gradient (low-mid-high),
scale_*_gradientn creats a n-colour gradient.
scale_colour_gradient(
...,
low = "#132B43",
high = "#56B1F7",
space = "Lab",
na.value = "grey50",
guide = "colourbar"
)
scale_fill_gradient(
...,
low = "#132B43",
high = "#56B1F7",
space = "Lab",
na.value = "grey50",
guide = "colourbar"
)
scale_colour_gradient2(
...,
low = muted("red"),
mid = "white",
high = muted("blue"),
midpoint = 0,
space = "Lab",
na.value = "grey50",
guide = "colourbar"
)
scale_fill_gradient2(
...,
low = muted("red"),
mid = "white",
high = muted("blue"),
midpoint = 0,
space = "Lab",
na.value = "grey50",
guide = "colourbar"
)
scale_colour_gradientn(
...,
colours,
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "colourbar",
colors
)
scale_fill_gradientn(
...,
colours,
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "colourbar",
colors
)... |
Other arguments passed on to |
low, high |
Colours for low and high ends of the gradient. |
space |
colour space in which to calculate gradient. Must be "Lab" - other values are deprecated. |
na.value |
Colour to use for missing values |
guide |
Type of legend. Use |
mid |
colour for mid point |
midpoint |
The midpoint (in data value) of the diverging scale. Defaults to 0. |
colours, colors |
Vector of colours to use for n-colour gradient. |
values |
if colours should not be evenly positioned along the gradient
this vector gives the position (between 0 and 1) for each colour in the
|
Default colours are generated with munsell and
mnsl(c("2.5PB 2/4", "2.5PB 7/10"). Generally, for continuous
colour scales you want to keep hue constant, but vary chroma and
luminance. The munsell package makes this easy to do using the
Munsell colour system.
seq_gradient_pal for details on underlying
palette
Other colour scales:
scale_colour_brewer,
scale_colour_grey,
scale_colour_hue
df <- data.frame( x = runif(100), y = runif(100), z1 = rnorm(100), z2 = abs(rnorm(100)) ) # Default colour scale colours from light blue to dark blue ggplot(df, aes(x, y)) + geom_point(aes(colour = z2)) # For diverging colour scales use gradient2 ggplot(df, aes(x, y)) + geom_point(aes(colour = z1)) + scale_colour_gradient2() # Use your own colour scale with gradientn ggplot(df, aes(x, y)) + geom_point(aes(colour = z1)) + scale_colour_gradientn(colours = terrain.colors(10)) # Equivalent fill scales do the same job for the fill aesthetic ggplot(faithfuld, aes(waiting, eruptions)) + geom_raster(aes(fill = density)) + scale_fill_gradientn(colours = terrain.colors(10)) # Adjust colour choices with low and high ggplot(df, aes(x, y)) + geom_point(aes(colour = z2)) + scale_colour_gradient(low = "white", high = "black") # Avoid red-green colour contrasts because ~10% of men have difficulty # seeing them
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