Sequential grey colour scales
Based on gray.colors()
. This is black and white equivalent
of scale_colour_gradient()
.
scale_colour_grey( ..., start = 0.2, end = 0.8, na.value = "red", aesthetics = "colour" ) scale_fill_grey( ..., start = 0.2, end = 0.8, na.value = "red", aesthetics = "fill" )
... |
Arguments passed on to
|
start |
grey value at low end of palette |
end |
grey value at high end of palette |
na.value |
Colour to use for missing values |
aesthetics |
Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful, for
example, to apply colour settings to the |
Other colour scales:
scale_alpha()
,
scale_colour_brewer()
,
scale_colour_gradient()
,
scale_colour_hue()
,
scale_colour_steps()
,
scale_colour_viridis_d()
p <- ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(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), replace = TRUE)) ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(colour = miss)) + scale_colour_grey() ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(colour = miss)) + scale_colour_grey(na.value = "green")
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