scale_cyclical {ggridges}

Create a discrete scale that cycles between values

Description

The readability of ridgeline plots can often be improved by alternating between fill colors and other aesthetics. The various cyclical scales make it easy to create plots with this feature, simply map your grouping variable to the respective aesthetic (e.g., fill) and then use scale_fill_cyclical to define the fill colors between you want to alternate. Note that the cyclical scales do not draw legends by default, because the legends will usually be wrong unless the labels are properly adjusted. To draw legends, set the guide argument to "legend", as shown in the examples.

Usage

scale_colour_cyclical(..., values)

scale_fill_cyclical(..., values)

scale_alpha_cyclical(..., values)

scale_linetype_cyclical(..., values)

scale_size_cyclical(..., values)

Arguments

...

Common discrete scale parameters: name, breaks, labels, na.value, limits and guide. See discrete_scale for more details.

values

The aesthetic values that the scale should cycle through, e.g. colors if it is a scale for the color or fill aesthetic.

Examples

library(ggplot2)

# By default, scale_cyclical sets `guide = "none"`, i.e., no legend
# is drawn
ggplot(diamonds, aes(x = price, y = cut, fill = cut)) +
  geom_density_ridges(scale = 4) +
  scale_fill_cyclical(values = c("#3030D0", "#9090F0"))

# However, legends can be turned on by setting `guide = "legend"`
ggplot(diamonds, aes(x = price, y = cut, fill = cut)) +
  geom_density_ridges(scale = 4) +
  scale_fill_cyclical(values = c("#3030D0", "#9090F0"),
                      guide = "legend", name = "Fill colors",
                      labels = c("dark blue", "light blue"))

# Cyclical scales are also available for the various other aesthetics
ggplot(diamonds, aes(x = price, y = cut, fill = cut,
                     color = cut, size = cut,
                     alpha = cut, linetype = cut)) +
  geom_density_ridges(scale = 4, fill = "blue") +
  scale_fill_cyclical(values = c("blue", "green")) +
  scale_color_cyclical(values = c("black", "white")) +
  scale_size_cyclical(values = c(2, 1)) +
  scale_alpha_cyclical(values = c(0.4, 0.8)) +
  scale_linetype_cyclical(values = c(1, 2))