Scales for area or radiusSource:
scale_size() scales area,
scale_radius() scales radius. The size
aesthetic is most commonly used for points and text, and humans perceive
the area of points (not their radius), so this provides for optimal
scale_size_area() ensures that a value of 0 is mapped
to a size of 0.
scale_size_binned() is a binned version of
scales by area (but does not ensure 0 equals an area of zero). For a binned
scale_size( name = waiver(), breaks = waiver(), labels = waiver(), limits = NULL, range = c(1, 6), trans = "identity", guide = "legend" ) scale_radius( name = waiver(), breaks = waiver(), labels = waiver(), limits = NULL, range = c(1, 6), trans = "identity", guide = "legend" ) scale_size_binned( name = waiver(), breaks = waiver(), labels = waiver(), limits = NULL, range = c(1, 6), n.breaks = NULL, nice.breaks = TRUE, trans = "identity", guide = "bins" ) scale_size_area(..., max_size = 6) scale_size_binned_area(..., max_size = 6)
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
a numeric vector of length 2 that specifies the minimum and maximum size of the plotting symbol after transformation.
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
A function used to create a guide or its name. See
guides()for more information.
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
NULLto use the default number of breaks given by the transformation.
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.
Arguments passed on to
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.
Missing values will be replaced with this value.
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
Size of largest points.
p <- ggplot(mpg, aes(displ, hwy, size = hwy)) + geom_point() p p + scale_size("Highway mpg") p + scale_size(range = c(0, 10)) # If you want zero value to have zero size, use scale_size_area: p + scale_size_area() # Binning can sometimes make it easier to match the scaled data to the legend p + scale_size_binned() # This is most useful when size is a count ggplot(mpg, aes(class, cyl)) + geom_count() + scale_size_area() # If you want to map size to radius (usually bad idea), use scale_radius p + scale_radius()