scale_*_steps creates a two colour binned gradient (low-high),
scale_*_steps2 creates a diverging binned colour gradient (low-mid-high),
scale_*_stepsn creates a n-colour binned gradient. These scales are
binned variants of the gradient scale family and
works in the same way.
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 passed on to
The number of break points to create if breaks are not given directly.
Logical. 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.
Should the intervals be closed on the right (
TRUE, default) or should the intervals be closed on the left (
FALSE)? 'Closed on the right' means that values at break positions are part of the lower bin (open on the left), whereas they are part of the upper bin when intervals are closed on the left (open on the right).
should the limits of the scale appear as ticks
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.
NULLfor no labels
waiver()for the default labels computed by the transformation object
A character vector giving labels (must be same length as
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.
NULLto use the default scale range
A numeric vector of length two providing limits of the scale. Use
NAto refer to the existing minimum or maximum
A 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
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 with
scales::squish()for squishing out of bounds values into range.
scales::squish_infinite()for squishing infinite values into range.
For 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
scales::boxcox_trans()). You can create your own transformation with
For 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 the
expandargument. 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.
For position scales, The position of the axis.
rightfor y axes,
bottomfor x axes.
The super class to use for the constructed scale
- low, high
Colours for low and high ends of the gradient.
colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.
Colour to use for missing values
Type of legend. Use
"colourbar"for continuous colour bar, or
"legend"for discrete colour legend.
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
fillaesthetics at the same time, via
aesthetics = c("colour", "fill").
colour for mid point
The midpoint (in data value) of the diverging scale. Defaults to 0.
- colours, colors
Vector of colours to use for n-colour gradient.
if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the
rescale()for a convenience function to map an arbitrary range to between 0 and 1.
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.
set.seed(1) 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))