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
ingrDevices::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")