scale_gradient: Gradient colour scales geom_asymmat

In jhrcook/ggasym: Asymmetric Matrix Plotting in 'ggplot2'

Description

This dictates a gradient colour scheme for the top-left (tl), bottom_right (br), or diagonal (diag) of a geom_asymmat() geom. scale_*_tl/br_gradient() creates a two colour gradient (low-high), scale_*_tl/br_gradient2() creates a diverging colour gradient (low-mid-high), scale_*_tl/br_gradientn() creates a n-colour gradient.

Usage

scale_fill_tl_gradient(
  ...,
  low = "#132B43",
  high = "#56B1F7",
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_tl"
)

scale_fill_br_gradient(
  ...,
  low = "#132B43",
  high = "#56B1F7",
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_br"
)

scale_fill_diag_gradient(
  ...,
  low = "#132B43",
  high = "#56B1F7",
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_diag"
)

scale_fill_tl_gradient2(
  ...,
  low = scales::muted("red"),
  mid = "white",
  high = scales::muted("blue"),
  midpoint = 0,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_tl"
)

scale_fill_br_gradient2(
  ...,
  low = scales::muted("red"),
  mid = "white",
  high = scales::muted("blue"),
  midpoint = 0,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_br"
)

scale_fill_diag_gradient2(
  ...,
  low = scales::muted("red"),
  mid = "white",
  high = scales::muted("blue"),
  midpoint = 0,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_diag"
)

scale_fill_tl_gradientn(
  ...,
  colours,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_tl",
  colors
)

scale_fill_br_gradientn(
  ...,
  colours,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_br",
  colors
)

scale_fill_diag_gradientn(
  ...,
  colours,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_diag",
  colors
)

scale_fill_tl_distiller(
  ...,
  type = "seq",
  palette = 1,
  direction = -1,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_tl"
)

scale_fill_br_distiller(
  ...,
  type = "seq",
  palette = 1,
  direction = -1,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_br"
)

scale_fill_diag_distiller(
  ...,
  type = "seq",
  palette = 1,
  direction = -1,
  values = NULL,
  space = "Lab",
  na.value = "grey50",
  guide = "colourbar",
  aesthetics = "fill_diag"
)

Arguments

...	arguments passed on to continuous_scale_asym()
low, high	the colors to represent low and high values
space	colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.
na.value	color of missing (NA) values
guide	Type of legend. Use "colourbar" for continuous colour bar, or "legend" for discrete colour legend.
aesthetics	Character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with. For now, leave the default alone, though I plan to reinstate the standard 'ggplot2' system here, eventually.
mid	color for mid point (see ?scales::div_gradient_pal for more documentation of how colors are calculated)
midpoint	The midpoint (in data value) of the diverging scale. Defaults to 0.
colours, colors	Vector of colours to use for n-colour gradient.
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.
type	One of "seq" (sequential), "div" (diverging) or "qual" (qualitative)
palette	If a string, will use that named palette. If a number, will index into the list of palettes of appropriate type
direction	Sets the order of colours in the scale. If 1, the default, colours are as output by RColorBrewer::brewer.pal(). If -1, the order of colours is reversed.

Examples

library(tibble)
library(ggplot2)
set.seed(0)

tib <- tibble(
  g1 = c("A", "A", "A", "B", "B", "C", "A", "B", "C", "D"),
  g2 = c("B", "C", "D", "C", "D", "D", "A", "B", "C", "D"),
  val_1 = c(1:10),
  val_2 = sample(-10:10, 10),
  val_3 = c(rep(NA, 6), 1, 2, 3, 4)
)
tib <- asymmetrise(tib, g1, g2)
g <- ggplot(tib, aes(x = g1, y = g2)) +
  geom_asymmat(aes(fill_tl = val_1, fill_br = val_2, fill_diag = val_3))

g + scale_fill_tl_gradient(low = "lightpink", high = "tomato") +
  scale_fill_br_gradient(low = "lightblue", high = "dodgerblue") +
  scale_fill_diag_gradient(low = "yellow", high = "orange3")

g + scale_fill_tl_gradient2(
  low = "dodgerblue",
  mid = "white", midpoint = 5,
  high = "tomato"
) +
  scale_fill_br_gradient2(
    low = "seagreen4",
    mid = "white", midpoint = 0,
    high = "orange"
  ) +
  scale_fill_diag_gradient2(
    low = "magenta",
    mid = "cornflowerblue", midpoint = 2.5,
    high = "chartreuse"
  )

g + scale_fill_tl_gradientn(colours = terrain.colors(200)) +
  scale_fill_br_gradientn(colours = heat.colors(200)) +
  scale_fill_diag_gradientn(colours = rainbow(200))

g + scale_fill_tl_distiller(type = "seq", palette = "Greens") +
  scale_fill_br_distiller(type = "div", palette = "PuOr") +
  scale_fill_diag_distiller(type = "seq", palette = "Blues")

jhrcook/ggasym documentation built on July 12, 2021, 3:27 a.m.