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

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")