scale_colour_continuous_diverging: HCL-Based Continuous Diverging Color Scales for ggplot2

In colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes

HCL-Based Continuous Diverging Color Scales for ggplot2

Description

Continuous ggplot2 color scales using the color palettes generated by diverging_hcl.

Usage

scale_colour_continuous_diverging(
  palette = NULL,
  c1 = NULL,
  cmax = NULL,
  l1 = NULL,
  l2 = NULL,
  h1 = NULL,
  h2 = NULL,
  p1 = NULL,
  p2 = NULL,
  alpha = 1,
  rev = FALSE,
  mid = 0,
  na.value = "grey50",
  guide = "colourbar",
  n_interp = 11,
  aesthetics = "colour",
  ...
)

scale_color_continuous_diverging(
  palette = NULL,
  c1 = NULL,
  cmax = NULL,
  l1 = NULL,
  l2 = NULL,
  h1 = NULL,
  h2 = NULL,
  p1 = NULL,
  p2 = NULL,
  alpha = 1,
  rev = FALSE,
  mid = 0,
  na.value = "grey50",
  guide = "colourbar",
  n_interp = 11,
  aesthetics = "colour",
  ...
)

scale_fill_continuous_diverging(..., aesthetics = "fill")

Arguments

palette	The name of the palette to be used. Run hcl_palettes(type = "diverging") for available options.
c1	Chroma value at the scale endpoints.
cmax	Maximum chroma value.
l1	Luminance value at the scale endpoints.
l2	Luminance value at the scale midpoint.
h1	Hue value at the first endpoint.
h2	Hue value at the second endpoint.
p1	Control parameter determining how chroma should vary (1 = linear, 2 = quadratic, etc.).
p2	Control parameter determining how luminance should vary (1 = linear, 2 = quadratic, etc.).
alpha	Numeric vector of values in the range [0, 1] for alpha transparency channel (0 means transparent and 1 means opaque).
rev	If TRUE, reverses the order of the colors in the color scale.
mid	Data value that should be mapped to the mid-point of the diverging color scale.
na.value	Color to be used for missing data points.
guide	Type of legend. Use "colourbar" for continuous color bar.
n_interp	Number of discrete colors that should be used to interpolate the continuous color scale. It is important to use an odd number to capture the color at the midpoint.
aesthetics	The ggplot2 aesthetics to which this scale should be applied.
...	common continuous scale parameters: 'name', 'breaks', 'labels', and 'limits'. See continuous_scale for more details.

Details

If both a valid palette name and palette parameters are provided then the provided palette parameters overwrite the parameters in the named palette. This enables easy customization of named palettes.

Examples

# adapted from stackoverflow: https://stackoverflow.com/a/20127706/4975218

library("ggplot2")

# generate dataset and base plot
set.seed(100)
df <- data.frame(country = LETTERS, V = runif(26, -40, 40))
df$country = factor(LETTERS, LETTERS[order(df$V)]) # reorder factors
gg <- ggplot(df, aes(x = country, y = V, fill = V)) +
  geom_bar(stat = "identity") +
  labs(y = "Under/over valuation in %", x = "Country") +
  coord_flip() + theme_minimal()
  
# plot with default diverging scale
gg + scale_fill_continuous_diverging()

# plot with alternative scale
gg + scale_fill_continuous_diverging(palette = "Purple-Green")

# plot with modified alternative scale
gg + scale_fill_continuous_diverging(palette = "Blue-Red 3", l1 = 30, l2 = 100, p1 = .9, p2 = 1.2)

colorspace documentation built on Nov. 30, 2024, 3 a.m.