ggplot2 (version 1.0.1)

scale_colour_grey: Sequential grey colour scale.

Description

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

Examples

Run this code
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")

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