| scale_colour_grey {ggplot2} | R Documentation |
Sequential grey colour scales
Description
Based on gray.colors(). This is black and white equivalent
of scale_colour_gradient().
Usage
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"
)
Arguments
name |
The name of the scale. Used as the axis or legend title. If
waiver(), the default, the name of the scale is taken from the first
mapping used for that aesthetic. If NULL, the legend title will be
omitted.
|
... |
Arguments passed on to discrete_scale
paletteA palette function that when called with a single integer
argument (the number of levels in the scale) returns the values that
they should take (e.g., scales::pal_hue()).
breaksOne of:
-
NULL for no breaks
-
waiver() for the default breaks (the scale limits)
A character vector of breaks
A function that takes the limits as input and returns breaks
as output. Also accepts rlang lambda function
notation.
limitsOne of:
-
NULL to use the default scale values
A character vector that defines possible values of the scale and their
order
A function that accepts the existing (automatic) values and returns
new ones. Also accepts rlang lambda function
notation.
dropShould unused factor levels be omitted from the scale?
The default, TRUE, uses the levels that appear in the data;
FALSE includes the levels in the factor. Please note that to display
every level in a legend, the layer should use show.legend = TRUE.
na.translateUnlike continuous scales, discrete scales can easily show
missing values, and do so by default. If you want to remove missing values
from a discrete scale, specify na.translate = FALSE.
labelsOne of:
-
NULL for no labels
-
waiver() for the default labels computed by the
transformation object
A character vector giving labels (must be same length as breaks)
An expression vector (must be the same length as breaks). See ?plotmath for details.
A function that takes the breaks as input and returns labels
as output. Also accepts rlang lambda function
notation.
guideA function used to create a guide or its name. See
guides() for more information.
callThe call used to construct the scale for reporting messages.
superThe super class to use for the constructed scale
|
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 colour and fill aesthetics at the
same time, via aesthetics = c("colour", "fill").
|
See Also
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()
Examples
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")
[Package
ggplot2 version 3.5.1
Index]