This guide displays a kernel density estimate (KDE) of the aesthetic. If the
aesthetic is colour or fill, the shape will reflect this.
Arguments
- key
A sequence key or binned key specification. Internally defaults to a sequence key when the scale is continuous and a binned key when the scale is binned.
- density
One of the following:
NULLfor using kernel density estimation on the data values (default).a
<numeric>vector to feed to thedensity.funfunction.A named
<list>withxandynumeric elements of equal length, such as one returned by using thedensity()function. Please note that<list>input is expected in scale-transformed space, not original data space.
- density.args
A
<list>with additional arguments to thedensity.funargument. Only applies whendensityis not provided as a<list>. already.- density.fun
A
<function>to use for kernel density estimation when thedensityargument is not provided as a list already.- just
A
<numeric[1]>between 0 and 1. Use 0 for bottom- or left-aligned densities, use 1 for top- or right-aligned densities and 0.5 for violin shapes.- oob
An out-of-bounds handling function that affects the cap colour. Can be one of the following:
A
<function>likeoob_squish.A
<character[1]>naming such a function without the 'oob'-prefix, such as"keep".
- alpha
A
<numeric[1]>between 0 and 1 setting the colour transparency of the bar. UseNAto preserve the alpha encoded in the colour itself.- theme
A
<theme>object to style the guide individually or differently from the plot's theme settings. Thethemeargument in the guide overrides and is combined with the plot's theme.- position
A
<character[1]>giving the location of the guide. Can be one of"top","bottom","left"or"right".- direction
A
<character[1]>indicating the direction of the guide. Can be on of"horizontal"or"vertical".
Details
Non-finite values such as NA and NaN are ignored while infinite values
such as -Inf and Inf are squished to the limits.
See also
Other gizmos:
gizmo_barcap(),
gizmo_grob(),
gizmo_histogram(),
gizmo_stepcap()
Examples
# A standard plot
p <- ggplot(mpg, aes(displ, hwy, colour = cty)) +
geom_point() +
scale_colour_viridis_c()
# Density from plot data
p + guides(colour = gizmo_density())
# Using bins instead of gradient
p + guides(colour = gizmo_density("bins"))
# Providing custom values to compute density of
p + guides(colour = gizmo_density(density = runif(1000, min = 5, max = 35)))
# Providing a precomputed density
p + guides(colour = gizmo_density(density = density(mpg$cty, adjust = 0.5)))
# Alternatively, parameters may be passed through density.args
p + guides(colour = gizmo_density(density.args = list(adjust = 0.5)))
