ggplot2 (version 0.9.0)

scale_colour_grey: Sequential grey colour scale.


Based on gray.colors


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")


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

See Also

Other colour scales: scale_color_brewer, scale_color_continuous, scale_color_discrete, scale_color_gradient, scale_color_gradient2, scale_color_gradientn, scale_color_hue, scale_colour_brewer, scale_colour_continuous, scale_colour_discrete, scale_colour_gradient, scale_colour_gradient2, scale_colour_gradientn, scale_colour_hue, scale_fill_brewer, scale_fill_continuous, scale_fill_discrete, scale_fill_gradient, scale_fill_gradient2, scale_fill_gradientn, scale_fill_hue


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")

Run the code above in your browser using DataCamp Workspace