scale_*_steps creates a two colour binned gradient (low-high),
scale_*_steps2 creates a diverging binned colour gradient (low-mid-high),
and scale_*_stepsn creates a n-colour binned gradient. These scales are
binned variants of the gradient scale family and
works in the same way.
Usage
scale_colour_steps(
...,
low = "#132B43",
high = "#56B1F7",
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour"
)
scale_colour_steps2(
...,
low = muted("red"),
mid = "white",
high = muted("blue"),
midpoint = 0,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour"
)
scale_colour_stepsn(
...,
colours,
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour",
colors
)
scale_fill_steps(
...,
low = "#132B43",
high = "#56B1F7",
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill"
)
scale_fill_steps2(
...,
low = muted("red"),
mid = "white",
high = muted("blue"),
midpoint = 0,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill"
)
scale_fill_stepsn(
...,
colours,
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill",
colors
)Arguments
- ...
Arguments passed on to
binned_scalen.breaksThe number of break points to create if breaks are not given directly.
nice.breaksLogical. Should breaks be attempted placed at nice values instead of exactly evenly spaced between the limits. If
TRUE(default) the scale will ask the transformation object to create breaks, and this may result in a different number of breaks than requested. Ignored if breaks are given explicitly.rightShould values on the border between bins be part of the right (upper) bin?
show.limitsshould the limits of the scale appear as ticks
nameThe 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. IfNULL, the legend title will be omitted.breaksOne of:
NULLfor no breakswaiver()for the default breaks computed by the transformation objectA numeric vector of positions
A function that takes the limits as input and returns breaks as output (e.g., a function returned by
scales::extended_breaks()). Also accepts rlang lambda function notation.
labelsOne of:
limitsOne of:
NULLto use the default scale rangeA numeric vector of length two providing limits of the scale. Use
NAto refer to the existing minimum or maximumA function that accepts the existing (automatic) limits and returns new limits. Also accepts rlang lambda function notation. Note that setting limits on positional scales will remove data outside of the limits. If the purpose is to zoom, use the limit argument in the coordinate system (see
coord_cartesian()).
oobOne of:
Function that handles limits outside of the scale limits (out of bounds). Also accepts rlang lambda function notation.
The default (
scales::censor()) replaces out of bounds values withNA.scales::squish()for squishing out of bounds values into range.scales::squish_infinite()for squishing infinite values into range.
expandFor position scales, a vector of range expansion constants used to add some padding around the data to ensure that they are placed some distance away from the axes. Use the convenience function
expansion()to generate the values for theexpandargument. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0.6 units on each side for discrete variables.transFor continuous scales, the name of a transformation object or the object itself. Built-in transformations include "asn", "atanh", "boxcox", "date", "exp", "hms", "identity", "log", "log10", "log1p", "log2", "logit", "modulus", "probability", "probit", "pseudo_log", "reciprocal", "reverse", "sqrt" and "time".
A transformation object bundles together a transform, its inverse, and methods for generating breaks and labels. Transformation objects are defined in the scales package, and are called
<name>_trans(e.g.,scales::boxcox_trans()). You can create your own transformation withscales::trans_new().positionFor position scales, The position of the axis.
leftorrightfor y axes,toporbottomfor x axes.superThe super class to use for the constructed scale
- low
Colours for low and high ends of the gradient.
- high
Colours for low and high ends of the gradient.
- space
colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.
- na.value
Colour to use for missing values
- guide
Type of legend. Use
"colourbar"for continuous colour bar, or"legend"for discrete colour legend.- 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
colourandfillaesthetics at the same time, viaaesthetics = c("colour", "fill").- mid
colour for mid point
- midpoint
The midpoint (in data value) of the diverging scale. Defaults to 0.
- colours
Vector of colours to use for n-colour gradient.
- values
if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the
coloursvector. Seerescale()for a convenience function to map an arbitrary range to between 0 and 1.- colors
Vector of colours to use for n-colour gradient.
Details
Default colours are generated with munsell and
mnsl(c("2.5PB 2/4", "2.5PB 7/10")). Generally, for continuous
colour scales you want to keep hue constant, but vary chroma and
luminance. The munsell package makes this easy to do using the
Munsell colour system.
See also
scales::seq_gradient_pal() for details on underlying
palette, scale_colour_gradient() for continuous scales without binning.
Other colour scales:
scale_alpha(),
scale_colour_brewer(),
scale_colour_continuous(),
scale_colour_gradient(),
scale_colour_grey(),
scale_colour_hue(),
scale_colour_viridis_d()
Examples
df <- data.frame(
x = runif(100),
y = runif(100),
z1 = rnorm(100)
)
# Use scale_colour_steps for a standard binned gradient
ggplot(df, aes(x, y)) +
geom_point(aes(colour = z1)) +
scale_colour_steps()
# Get a divergent binned scale with the *2 variant
ggplot(df, aes(x, y)) +
geom_point(aes(colour = z1)) +
scale_colour_steps2()
# Define your own colour ramp to extract binned colours from
ggplot(df, aes(x, y)) +
geom_point(aes(colour = z1)) +
scale_colour_stepsn(colours = terrain.colors(10))
