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Create AidData color scales for ggplot2

Source: R/colors.R
scale_color_aiddata.Rd

Functions to create color and fill scales using AidData's color palettes. These functions implement William & Mary's brand guidelines in a way that works well for data visualization.

Usage

scale_color_aiddata(palette = "default", reverse = FALSE, discrete = TRUE, ...)

scale_fill_aiddata(palette = "default", reverse = FALSE, discrete = TRUE, ...)

Arguments

palette

The name of the palette to use:

  • "default", "one_color" through "five_colors": Categorical palettes with 1-5 colors

  • "sequential_green", "sequential_gold": For ordered data

  • "diverging_green_gold", "diverging_vine_sky": For data with meaningful center point

reverse

Boolean indicating whether to reverse the palette order

discrete

Boolean indicating whether the scale is discrete (TRUE) or continuous (FALSE)

...

Additional arguments passed to discrete_scale() or scale_color_gradientn()

Value

A ggplot2 color or fill scale

Examples

library(ggplot2)

# Basic usage with default palette (3 colors)
ggplot(mtcars, aes(wt, mpg, color = factor(cyl))) +
  geom_point() +
  scale_color_aiddata()


# Using specific number of colors
ggplot(mtcars, aes(wt, mpg, color = factor(gear))) +
  geom_point() +
  scale_color_aiddata(palette = "two_colors")


# Sequential palette for continuous data
ggplot(mtcars, aes(wt, mpg, color = disp)) +
  geom_point() +
  scale_color_aiddata(palette = "sequential_green", discrete = FALSE)


# Fill scale with diverging palette
ggplot(mtcars, aes(factor(cyl), fill = factor(gear))) +
  geom_bar() +
  scale_fill_aiddata(palette = "diverging_green_gold")