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See pal_material() for details.

Usage

scale_color_material(
  palette = c("red", "pink", "purple", "deep-purple", "indigo", "blue", "light-blue",
    "cyan", "teal", "green", "light-green", "lime", "yellow", "amber", "orange",
    "deep-orange", "brown", "grey", "blue-grey"),
  alpha = 1,
  reverse = FALSE,
  ...
)

scale_colour_material(
  palette = c("red", "pink", "purple", "deep-purple", "indigo", "blue", "light-blue",
    "cyan", "teal", "green", "light-green", "lime", "yellow", "amber", "orange",
    "deep-orange", "brown", "grey", "blue-grey"),
  alpha = 1,
  reverse = FALSE,
  ...
)

scale_fill_material(
  palette = c("red", "pink", "purple", "deep-purple", "indigo", "blue", "light-blue",
    "cyan", "teal", "green", "light-green", "lime", "yellow", "amber", "orange",
    "deep-orange", "brown", "grey", "blue-grey"),
  alpha = 1,
  reverse = FALSE,
  ...
)

Arguments

palette

Palette type. There are 19 available options:

  • "red"

  • "pink"

  • "purple"

  • "deep-purple"

  • "indigo"

  • "blue"

  • "light-blue"

  • "cyan"

  • "teal"

  • "green"

  • "light-green"

  • "lime"

  • "yellow"

  • "amber"

  • "orange"

  • "deep-orange"

  • "brown"

  • "grey"

  • "blue-grey"

alpha

Transparency level, a real number in (0, 1]. See alpha in grDevices::rgb() for details.

reverse

Logical. Should the order of the colors be reversed?

...

Additional parameters for ggplot2::discrete_scale().

Author

Nan Xiao | me@nanx.me | https://nanx.me

Examples

library("ggplot2")

data("mtcars")
cor <- abs(cor(mtcars))
cor_melt <- data.frame(
  Var1 = rep(seq_len(nrow(cor)), times = ncol(cor)),
  Var2 = rep(seq_len(ncol(cor)), each = nrow(cor)),
  value = as.vector(cor)
)

ggplot(
  cor_melt,
  aes(x = Var1, y = Var2, fill = value)
) +
  geom_tile(colour = "black", size = 0.3) +
  theme_bw() +
  scale_fill_material("blue-grey")