scale_tol_discrete: Paul Tol's Discrete Color Schemes for 'ggplot2' and 'ggraph'

In khroma: Colour Schemes for Scientific Data Visualization

Paul Tol's Discrete Color Schemes for ggplot2 and ggraph

Description

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

Usage

scale_fill_muted(..., reverse = FALSE, aesthetics = "fill")

Arguments

...	Arguments passed to ggplot2::discrete_scale().
reverse	A logical scalar. Should the resulting vector of colors be reversed?
aesthetics	A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Details

Palette	Max.
bright	7
highcontrast	3
vibrant	7
muted	9
mediumcontrast	6
pale	6
dark	6
light	9

Value

A discrete scale.

Interpolation

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Qualitative Color Schemes

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references).

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. 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_diverging, scale_tol_sequential

Examples

library(ggplot2)

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

khroma documentation built on Aug. 21, 2023, 5:11 p.m.