ng_scale: Colour scale constructor for Nightingale colours

In NightingaleHealth/ggforestplot: Forestplots of Measures of Effects and Their Confidence Intervals

Description

Colour scale constructor for Nightingale colours

Usage

scale_colour_ng_d(..., palette = "all", reverse = FALSE, aesthetics = "colour")

scale_fill_ng_d(..., palette = "all", reverse = FALSE, aesthetics = "fill")

scale_colour_ng_c(
  ...,
  palette = "magma",
  reverse = FALSE,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "colour"
)

scale_fill_ng_c(
  ...,
  palette = "magma",
  reverse = FALSE,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill"
)

Arguments

...	Additional arguments passed to discrete_scale() or continuous_scale() to control name, limits, breaks, labels and so forth.
palette	Character name of the Nightingale (or viridis) colour palette.
reverse	Boolean indicating whether the palette should be reversed.
aesthetics	Character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with. This can be useful, for example, to apply colour settings to the 'colour' and 'fill' aesthetics at the same time, via 'aesthetics = c("colour", "fill")'.
values	if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the colours vector. See rescale() for a convenience function to map an arbitrary range to between 0 and 1.
space	colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.
na.value	Missing values will be replaced with this value.
guide	A function used to create a guide or its name. See guides() for more info.

Author(s)

Ilari Scheinin

Examples

# Example taken from ggplot2::scale_colour_discrete()
dsamp <- ggplot2::diamonds[sample(nrow(ggplot2::diamonds), 1000), ]
d <- ggplot2::ggplot(dsamp, ggplot2::aes(carat, price)) +
  ggplot2::geom_point(ggplot2::aes(colour = clarity)) +
  ggforestplot::scale_colour_ng_d()
print(d)

NightingaleHealth/ggforestplot documentation built on April 10, 2020, 7:01 p.m.