Publication theme and colour palettes

theme_tidydiversity() is a clean ggplot2 theme for journal figures: white background, light horizontal grid, black text, a legend at the bottom and plain facet strips. Every autoplot() method uses it by default, and you can add it to any ggplot.

plot_palette() returns colour-blind-safe colours: the Okabe-Ito palette (Okabe and Ito 2008) by default, switching to the viridis palette when more than eight colours are needed, or a greyscale ramp for journals that print in black and white. scale_colour_tidydiversity() and scale_fill_tidydiversity() are the matching discrete ggplot2 scales.

Usage

theme_tidydiversity(
  base_size = 11,
  base_family = "",
  legend_position = "bottom",
  grid = c("y", "x", "xy", "none")
)

plot_palette(n, palette = c("okabe_ito", "grey"))

scale_colour_tidydiversity(palette = c("okabe_ito", "grey"), ...)

scale_fill_tidydiversity(palette = c("okabe_ito", "grey"), ...)

Arguments

base_size

Base font size in points.

base_family

Base font family.

legend_position

Legend position, passed to ggplot2::theme().

grid

Draw major grid lines: "y", "x", "xy" or "none".

n

Number of colours.

palette

"okabe_ito" or "grey".

...

Passed to ggplot2::discrete_scale().

Value

A ggplot2 theme, a character vector of colours or a ggplot2 scale.

References

Okabe, M. and Ito, K. (2008). Color universal design (CUD): how to make figures and presentations that are friendly to colour-blind people. https://jfly.uni-koeln.de/color/

Examples

library(ggplot2)
plot_palette(3)
#> [1] "#0072B2" "#D55E00" "#009E73"
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
  geom_point() +
  scale_colour_tidydiversity() +
  theme_tidydiversity(base_size = 9)