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

scale_colour_continuous_sequential(
  palette = NULL,
  c1 = NULL,
  c2 = NULL,
  cmax = NULL,
  l1 = NULL,
  l2 = NULL,
  h1 = NULL,
  h2 = NULL,
  p1 = NULL,
  p2 = NULL,
  rev = TRUE,
  begin = 0,
  end = 1,
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "colour",
  n_interp = 11,
  ...
)

scale_color_continuous_sequential(
  palette = NULL,
  c1 = NULL,
  c2 = NULL,
  cmax = NULL,
  l1 = NULL,
  l2 = NULL,
  h1 = NULL,
  h2 = NULL,
  p1 = NULL,
  p2 = NULL,
  rev = TRUE,
  begin = 0,
  end = 1,
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "colour",
  n_interp = 11,
  ...
)

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

Arguments

palette

The name of the palette to be used. Run hcl_palettes(type = "sequential") for available options.

c1

Beginning chroma value.

c2

Ending chroma value.

cmax

Maximum chroma value.

l1

Beginning luminance value.

l2

Ending luminance value.

h1

Beginning hue value.

h2

Ending hue value. If set to NA, generates a single-hue scale.

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.).

rev

If TRUE (default), reverses the order of the colors in the color scale (compared to sequential_hcl).

begin

Number in the range of [0, 1] indicating to which point in the color scale the smallest data value should be mapped.

end

Number in the range of [0, 1] indicating to which point in the color scale the largest data value should be mapped.

na.value

Color to be used for missing data points.

guide

Type of legend. Use "colourbar" for continuous color bar.

aesthetics

The ggplot2 aesthetics to which this scale should be applied.

n_interp

Number of discrete colors that should be used to interpolate the continuous color scale. 11 will work fine in most cases.

...

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.

Compared to sequential_hcl the ordering of the colors in the sequential ggplot2 scale are reversed by default (i.e., rev = TRUE) to be more consistent with ggplot2's own scales such as scale_color_brewer. For most named palettes this leads to darker and more colorful colors for larger values on the scale. This is typically the better default on light/white backgrounds.

Examples

library("ggplot2") # base plot gg <- ggplot(iris, aes(x = Species, y = Sepal.Width, color = Sepal.Length)) + geom_jitter(width = 0.3) + theme_minimal() # default settings gg + scale_color_continuous_sequential()
# switch palette and overwrite some default values gg + scale_color_continuous_sequential(palette = "Reds", l1 = 20, c2 = 70, p1 = 1)
# select a range out of the entire palette gg + scale_color_continuous_sequential(palette = "Heat", begin = 0.2, end = 0.8)
# volcano plot df <- data.frame(height = c(volcano), x = c(row(volcano)), y = c(col(volcano))) ggplot(df, aes(x, y, fill = height)) + geom_raster() + scale_fill_continuous_sequential(palette = "Terrain", rev = FALSE) + coord_fixed(expand = FALSE)