khroma (version 1.12.0)

scale_crameri_diverging: Fabio Crameri's Diverging Color Schemes for ggplot2 and ggraph

Description

Provides diverging color scales from Fabio Crameri's Scientific colour.

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.

aesthetics

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

discrete

A logical scalar: should the color scheme be used as a discrete scale?

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

Available schemes:

• broc

• cork

• vik

• lisbon

• tofino

• berlin

• roma

• bam

• vanimo

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. tools:::Rd_expr_doi("10.5194/gmd-11-2541-2018")

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. tools:::Rd_expr_doi("10.1038/s41467-020-19160-7")

See Also

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

Examples

data(economics, package = "ggplot2")

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

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