scale_viridis: Viridis colour scales from viridisLite

In SahaRahul/ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

Description

The viridis scales provide color maps that are perceptually uniform in both color and black-and-white. They are also designed to be perceived by viewers with common forms of color blindness. See also https://bids.github.io/colormap/.

Usage

scale_colour_viridis_d(..., alpha = 1, begin = 0, end = 1,
  direction = 1, option = "D")

scale_fill_viridis_d(..., alpha = 1, begin = 0, end = 1, direction = 1,
  option = "D")

scale_colour_viridis_c(..., alpha = 1, begin = 0, end = 1,
  direction = 1, option = "D", values = NULL, space = "Lab",
  na.value = "grey50", guide = "colourbar")

scale_fill_viridis_c(..., alpha = 1, begin = 0, end = 1, direction = 1,
  option = "D", values = NULL, space = "Lab", na.value = "grey50",
  guide = "colourbar")

Arguments

...	Other arguments passed on to discrete_scale() or continuous_scale() to control name, limits, breaks, labels and so forth.
alpha	The alpha transparency, a number in [0,1], see argument alpha in hsv.
begin	The (corrected) hue in [0,1] at which the viridis colormap begins.
end	The (corrected) hue in [0,1] at which the viridis colormap ends.
direction	Sets the order of colors in the scale. If 1, the default, colors are ordered from darkest to lightest. If -1, the order of colors is reversed.
option	A character string indicating the colormap option to use. Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), and "viridis" (or "D", the default option).
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 convience 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.

See Also

Other colour scales: scale_alpha, scale_colour_brewer, scale_colour_gradient, scale_colour_grey, scale_colour_hue

Examples

dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
(d <- ggplot(dsamp, aes(carat, price)) +
  geom_point(aes(colour = clarity)))
d + scale_colour_viridis_d()

# Change scale label
d + scale_colour_viridis_d("Diamond\nclarity")

# Select palette to use, see ?scales::viridis_pal for more details
d + scale_colour_viridis_d(option = "plasma")
d + scale_colour_viridis_d(option = "inferno")


# scale_fill_viridis_d works just the same as
# scale_colour_viridis_d but for fill colours
p <- ggplot(diamonds, aes(x = price, fill = cut)) +
  geom_histogram(position = "dodge", binwidth = 1000)
p + scale_fill_viridis_d()
# the order of colour can be reversed
p + scale_fill_viridis_d(direction = -1)


# Use viridis_c with continous data
v <- ggplot(faithfuld) +
  geom_tile(aes(waiting, eruptions, fill = density))
v
v + scale_fill_viridis_c()
v + scale_fill_viridis_c(option = "plasma")

SahaRahul/ggplot2 documentation built on May 17, 2019, 1:46 p.m.