scale_colour_grey

0th

Percentile

Sequential grey colour scale.

Based on gray.colors

Usage
scale_colour_grey(..., start = 0.2, end = 0.8, na.value = "red")

scale_fill_grey(..., start = 0.2, end = 0.8, na.value = "grey50")

scale_color_grey(..., start = 0.2, end = 0.8, na.value = "red")

Arguments
...
Other arguments passed on to discrete_scale to control name, limits, breaks, labels and so forth.
start
gray value at low end of palette
end
gray value at high end of palette
na.value
Colour to use for missing values
See Also

Other colour scales: scale_color_brewer, scale_color_distiller, scale_colour_brewer, scale_colour_distiller, scale_fill_brewer, scale_fill_distiller; 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

Aliases
  • scale_color_grey
  • scale_colour_grey
  • scale_fill_grey
Examples
p <- qplot(mpg, wt, data=mtcars, colour=factor(cyl))
p + scale_colour_grey()
p + scale_colour_grey(end = 0)

# You may want to turn off the pale grey background with this scale
p + scale_colour_grey() + theme_bw()

# Colour of missing values is controlled with na.value:
miss <- factor(sample(c(NA, 1:5), nrow(mtcars), rep = TRUE))
qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_grey()
qplot(mpg, wt, data = mtcars, colour = miss) +
  scale_colour_grey(na.value = "green")
Documentation reproduced from package ggplot2, version 1.0.1, License: GPL-2

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