scale_color_material | R Documentation |
See pal_material()
for details.
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,
...
)
palette |
Palette type. There are 19 available options:
|
alpha |
Transparency level, a real number in (0, 1].
See |
reverse |
Logical. Should the order of the colors be reversed? |
... |
Additional parameters for |
Nan Xiao | me@nanx.me | https://nanx.me
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")
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