ggplot2 (version 2.2.1)

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

Description

The brewer scales provides sequential, diverging and qualitative colour schemes from ColorBrewer. These are particularly well suited to display discrete values on a map. See http://colorbrewer2.org for more information.

Usage

scale_colour_brewer(..., type = "seq", palette = 1, direction = 1)
scale_fill_brewer(..., type = "seq", palette = 1, direction = 1)
scale_colour_distiller(..., type = "seq", palette = 1, direction = -1, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar")
scale_fill_distiller(..., type = "seq", palette = 1, direction = -1, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar")

Arguments

...

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

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

direction

Sets the order of colors in the scale. If 1, the default, colors are as output by brewer.pal. If -1, the order of colors is reversed.

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 an arbitrary range to between 0 and 1.

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 "colourbar" for continuous colour bar, or "legend" for discrete colour legend.

Palettes

The following palettes are available for use with these scales:

Details

The brewer scales were carefully designed and tested on discrete data. They were not designed to be extended to continuous data, but results often look good. Your mileage may vary.

See Also

Other colour scales: scale_alpha, scale_colour_gradient, scale_colour_grey, scale_colour_hue

Examples

dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
(d <- ggplot(dsamp, aes(carat, price)) +
  geom_point(aes(colour = clarity)))
d + scale_colour_brewer()

# Change scale label
d + scale_colour_brewer("Diamond\nclarity")

# Select brewer palette to use, see ?scales::brewer_pal for more details
d + scale_colour_brewer(palette = "Greens")
d + scale_colour_brewer(palette = "Set1")


# scale_fill_brewer works just the same as
# scale_colour_brewer but for fill colours
p <- ggplot(diamonds, aes(x = price, fill = cut)) +
  geom_histogram(position = "dodge", binwidth = 1000)
p + scale_fill_brewer()
# the order of colour can be reversed
p + scale_fill_brewer(direction = -1)
# the brewer scales look better on a darker background
p + scale_fill_brewer(direction = -1) + theme_dark()


# Use distiller variant with continous data
v <- ggplot(faithfuld) +
  geom_tile(aes(waiting, eruptions, fill = density))
v
v + scale_fill_distiller()
v + scale_fill_distiller(palette = "Spectral")