scale_colour_grey | R Documentation |
Based on gray.colors()
. This is black and white equivalent
of scale_colour_gradient()
.
scale_colour_grey(
name = waiver(),
...,
start = 0.2,
end = 0.8,
na.value = "red",
aesthetics = "colour"
)
scale_fill_grey(
name = waiver(),
...,
start = 0.2,
end = 0.8,
na.value = "red",
aesthetics = "fill"
)
name |
The name of the scale. Used as the axis or legend title. If
|
... |
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 |
The documentation on colour aesthetics.
The hue and grey scales section of the online ggplot2 book.
Other colour scales:
scale_alpha()
,
scale_colour_brewer()
,
scale_colour_continuous()
,
scale_colour_gradient()
,
scale_colour_hue()
,
scale_colour_identity()
,
scale_colour_manual()
,
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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