ggplot2 (version 1.0.0)

scale_colour_brewer: Sequential, diverging and qualitative colour scales from colorbrewer.org

Description

ColorBrewer provides sequential, diverging and qualitative colour schemes which are particularly suited and tested to display discrete values (levels of a factor) on a map. ggplot2 can use those colours in discrete scales. It also allows to smoothly interpolate 6 colours from any palette to a continuous scale (6 colours per palette gives nice gradients; more results in more saturated colours which do not look as good). However, the original colour schemes (particularly the qualitative ones) were not intended for this and the perceptual result is left to the appreciation of the user.

Usage

scale_colour_brewer(..., type = "seq", palette = 1)
scale_fill_brewer(..., type = "seq", palette = 1)
scale_colour_distiller(..., type = "seq", palette = 1, values = NULL,
  space = "Lab", na.value = "grey50")
scale_fill_distiller(..., type = "seq", palette = 1, values = NULL,
  space = "Lab", na.value = "grey50")
scale_color_brewer(..., type = "seq", palette = 1)
scale_color_distiller(..., type = "seq", palette = 1, values = NULL,
  space = "Lab", na.value = "grey50")

Arguments

type

One of seq (sequential), div (diverging) or qual (qualitative)

palette

If a string, will use that named palette. If a number, will index into the list of palettes of appropriate type

...

Other arguments passed on to discrete_scale to control name, limits, breaks, labels and so forth.

na.value

Colour to use for missing values

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 colours vector. See rescale for a convience function to map

space

colour space in which to calculate gradient. "Lab" usually best unless gradient goes through white.

Details

See http://colorbrewer2.org for more information.

See Also

Other colour scales: scale_color_continuous, scale_color_gradient, scale_colour_continuous, scale_colour_gradient, scale_fill_continuous, scale_fill_gradient; scale_color_discrete, scale_color_hue, scale_colour_discrete, scale_colour_hue, scale_fill_discrete, scale_fill_hue; scale_color_gradient2, scale_colour_gradient2, scale_fill_gradient2; scale_color_gradientn, scale_colour_gradientn, scale_fill_gradientn; scale_color_grey, scale_colour_grey, scale_fill_grey

Examples

dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
(d <- qplot(carat, price, data = dsamp, colour = clarity))

# Change scale label
d + scale_colour_brewer()
d + scale_colour_brewer("clarity")
d + scale_colour_brewer(expression(clarity[beta]))

# Select brewer palette to use, see ?scales::brewer_pal for more details
d + scale_colour_brewer(type = "seq")
d + scale_colour_brewer(type = "seq", palette = 3)

d + scale_colour_brewer(palette = "Blues")
d + scale_colour_brewer(palette = "Set1")

# scale_fill_brewer works just the same as
# scale_colour_brewer but for fill colours
ggplot(diamonds, aes(x = price, fill = cut)) +
  geom_histogram(position = "dodge", binwidth = 1000) +
  scale_fill_brewer()

# Generate map data
library(reshape2) # for melt
volcano3d <- melt(volcano)
names(volcano3d) <- c("x", "y", "z")

# Basic plot
v <- ggplot() + geom_tile(aes(x = x, y = y, fill = z), data = volcano3d)
v
v + scale_fill_distiller()
v + scale_fill_distiller(palette = 2)
v + scale_fill_distiller(type = "div")
v + scale_fill_distiller(palette = "Spectral")
v + scale_fill_distiller(palette = "Spectral", trans = "reverse")
v + scale_fill_distiller(type = "qual")
# Not appropriate for continuous data, issues a warning