scale_divergent function

Divergent colour scales

Wrapper around ggplot's scale_colour_gradient2 with inverted defaults of high and low.

scale_colour_divergent(
  ...,
  low = scales::muted("blue"),
  mid = "white",
  high = scales::muted("red"),
  midpoint = 0,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar"
)

scale_color_divergent(
  ...,
  low = scales::muted("blue"),
  mid = "white",
  high = scales::muted("red"),
  midpoint = 0,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar"
)

scale_fill_divergent(
  ...,
  low = scales::muted("blue"),
  mid = "white",
  high = scales::muted("red"),
  midpoint = 0,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar"
)

Arguments

• ...: Arguments passed on to continuous_scale

  • scale_name: The name of the scale that should be used for error messages associated with this scale.

  • palette: A palette function that when called with a numeric vector with values between 0 and 1 returns the corresponding output values (e.g., scales::pal_area()).

  • breaks: One of:

      * `NULL` for no breaks
      * `waiver()` for the default breaks computed by the transformation object
      * A numeric vector of positions
      * A function that takes the limits as input and returns breaks as output (e.g., a function returned by `scales::extended_breaks()`). Note that for position scales, limits are provided after scale expansion. Also accepts rlang lambda function notation.
    

  • minor_breaks: One of:

      * `NULL` for no minor breaks
      * `waiver()` for the default breaks (one minor break between each major break)
      * A numeric vector of positions
      * A function that given the limits returns a vector of minor breaks. Also accepts rlang lambda function notation. When the function has two arguments, it will be given the limits and major breaks.
    

  • n.breaks: An integer guiding the number of major breaks. The algorithm may choose a slightly different number to ensure nice break labels. Will only have an effect if breaks = waiver(). Use NULL to use the default number of breaks given by the transformation.

  • labels: One of:

      * `NULL` for no labels
      * `waiver()` for the default labels computed by the transformation object
      * A character vector giving labels (must be same length as `breaks`)
      * An expression vector (must be the same length as breaks). See ?plotmath for details.
      * A function that takes the breaks as input and returns labels as output. Also accepts rlang lambda function notation.
    

  • limits: One of:

      * `NULL` to use the default scale range
      * A numeric vector of length two providing limits of the scale. Use `NA` to refer to the existing minimum or maximum
      * A function that accepts the existing (automatic) limits and returns new limits. Also accepts rlang lambda function notation. Note that setting limits on positional scales will remove data outside of the limits. If the purpose is to zoom, use the limit argument in the coordinate system (see `coord_cartesian()`).
    

  • rescaler: A function used to scale the input values to the range [0, 1]. This is always scales::rescale(), except for diverging and n colour gradients (i.e., scale_colour_gradient2(), scale_colour_gradientn()). The rescaler is ignored by position scales, which always use scales::rescale(). Also accepts rlang lambda function notation.

  • oob: One of:

      * Function that handles limits outside of the scale limits (out of bounds). Also accepts rlang lambda
        
        function notation.
      * The default (`scales::censor()`) replaces out of bounds values with `NA`.
      * `scales::squish()` for squishing out of bounds values into range.
      * `scales::squish_infinite()` for squishing infinite values into range.
    

  • trans: Deprecated in favour of transform.

  • call: The call used to construct the scale for reporting messages.

  • super: The super class to use for the constructed scale

• low, high: Colours for low and high ends of the gradient.

• mid: colour for mid point

• midpoint: The midpoint (in data value) of the diverging scale. Defaults to 0.

• space: colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.

• na.value: Colour to use for missing values

• guide: Type of legend. Use "colourbar" for continuous colour bar, or "legend" for discrete colour legend.

Examples

library(ggplot2)
ggplot(reshape2::melt(volcano), aes(Var1, Var2, z = value)) +
  geom_contour(aes(color = after_stat(level))) +
  scale_colour_divergent(midpoint = 130)

See Also

Other ggplot2 helpers: MakeBreaks(), WrapCircular(), geom_arrow(), geom_contour2(), geom_contour_fill(), geom_label_contour(), geom_relief(), geom_streamline(), guide_colourstrip(), map_labels, reverselog_trans(), scale_longitude, stat_na(), stat_subset()