Wrapper around ggplot's
inverted defaults of
scale_colour_divergent( ..., low = scales::muted("blue"), mid = "white", high = scales::muted("red"), midpoint = 0, space = "Lab", na.value = "grey50", guide = "colourbar" ) scale_color_divergent( ..., low = scales::muted("blue"), mid = "white", high = scales::muted("red"), midpoint = 0, space = "Lab", na.value = "grey50", guide = "colourbar" ) scale_fill_divergent( ..., low = scales::muted("blue"), mid = "white", high = scales::muted("red"), midpoint = 0, space = "Lab", na.value = "grey50", guide = "colourbar" )
Arguments passed on to
The name of the scale that should be used for error messages associated with this scale.
A palette function that when called with a numeric vector with
values between 0 and 1 returns the corresponding output values
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
NULL for no breaks
waiver() for the default breaks computed by the
A numeric vector of positions
A function that takes the limits as input and returns breaks
as output (e.g., a function returned by
Also accepts rlang lambda function notation.
An integer guiding the number of major breaks. The algorithm
may choose a slightly different number to ensure nice break labels. Will
only have an effect if
breaks = waiver(). Use
NULL to use the default
number of breaks given by the transformation.
NULL for no labels
waiver() for the default labels computed by the
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.
NULL to use the default scale range
A numeric vector of length two providing limits of the scale.
NA to refer to the existing minimum or maximum
A function that accepts the existing (automatic) limits and returns
new limits. Also accepts rlang lambda function
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
A function used to scale the input values to the
range [0, 1]. This is always
scales::rescale(), except for
diverging and n colour gradients (i.e.,
rescaler is ignored by position
scales, which always use
scales::rescale(). Also accepts rlang
lambda function notation.
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
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
to generate the values for the
expand argument. 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.
right for y axes,
bottom for x axes.
The super class to use for the constructed scale
Colours for low and high ends of the gradient.
colour for mid point
The midpoint (in data value) of the diverging scale. Defaults to 0.
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.
Other ggplot2 helpers:
library(ggplot2) ggplot(reshape2::melt(volcano), aes(Var1, Var2, z = value)) + geom_contour(aes(color = after_stat(level))) + scale_colour_divergent(midpoint = 130)