khroma (version 1.12.0)

scale_tol_diverging: Paul Tol's Diverging Color Schemes for ggplot2 and ggraph

Description

Provides diverging color scales from Paul Tol's Colour Schemes.

Value

A continuous scale.

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Interpolation

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Note that the default color for NA can be overridden by passing a value to ggplot2::continuous_scale().

Author

N. Frerebeau

Details

Palette	Max. colors	NA value
sunset	11	#FFFFFF
BuRd	9	#FFEE99
PRGn	9	#FFEE99

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other color-blind safe color schemes: scale_crameri_cyclic, scale_crameri_diverging, scale_crameri_mutlisequential, scale_crameri_sequential, scale_okabeito_discrete, scale_tol_discrete, scale_tol_sequential

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_sunset(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_BuRd(midpoint = 9000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_PRGn(midpoint = 9000, range = c(0.25, 1))