Description Usage Arguments Author(s) Examples
Scale functions (fill and colour/color) for
ggplot2
.
For discrete == FALSE
(the default) all other arguments are as to
scale_fill_gradientn
or
scale_color_gradientn
. Otherwise the function will
return a discrete_scale
with the plot-computed number
of colors.
See viridis
and
viridis.map
for more information on the color
palettes.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | scale_fill_viridis(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
discrete = FALSE,
option = "D"
)
scale_color_viridis(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
discrete = FALSE,
option = "D"
)
scale_colour_viridis(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
discrete = FALSE,
option = "D"
)
|
... |
Parameters to |
alpha |
The alpha transparency, a number in [0,1], see argument alpha in
|
begin |
The (corrected) hue in [0,1] at which the color map begins. |
end |
The (corrected) hue in [0,1] at which the color map ends. |
direction |
Sets the order of colors in the scale. If 1, the default,
colors are as output by |
discrete |
Generate a discrete palette? (default: |
option |
A character string indicating the color map option to use. Eight options are available:
|
Noam Ross noam.ross@gmail.com / @noamross
Bob Rudis bob@rud.is / @hrbrmstr
Simon Garnier: garnier@njit.edu / @sjmgarnier
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | library(ggplot2)
# Ripped from the pages of ggplot2
p <- ggplot(mtcars, aes(wt, mpg))
p + geom_point(size = 4, aes(colour = factor(cyl))) +
scale_color_viridis(discrete = TRUE) +
theme_bw()
# Ripped from the pages of ggplot2
dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6)
dsub$diff <- with(dsub, sqrt(abs(x - y)) * sign(x - y))
d <- ggplot(dsub, aes(x, y, colour = diff)) + geom_point()
d + scale_color_viridis() + theme_bw()
# From the main viridis example
dat <- data.frame(x = rnorm(10000), y = rnorm(10000))
ggplot(dat, aes(x = x, y = y)) +
geom_hex() + coord_fixed() +
scale_fill_viridis() + theme_bw()
library(ggplot2)
library(MASS)
library(gridExtra)
data("geyser", package="MASS")
ggplot(geyser, aes(x = duration, y = waiting)) +
xlim(0.5, 6) + ylim(40, 110) +
stat_density2d(aes(fill = ..level..), geom = "polygon") +
theme_bw() +
theme(panel.grid = element_blank()) -> gg
grid.arrange(
gg + scale_fill_viridis(option = "A") + labs(x = "Viridis A", y = NULL),
gg + scale_fill_viridis(option = "B") + labs(x = "Viridis B", y = NULL),
gg + scale_fill_viridis(option = "C") + labs(x = "Viridis C", y = NULL),
gg + scale_fill_viridis(option = "D") + labs(x = "Viridis D", y = NULL),
gg + scale_fill_viridis(option = "E") + labs(x = "Viridis E", y = NULL),
gg + scale_fill_viridis(option = "F") + labs(x = "Viridis F", y = NULL),
gg + scale_fill_viridis(option = "G") + labs(x = "Viridis G", y = NULL),
gg + scale_fill_viridis(option = "H") + labs(x = "Viridis H", y = NULL),
ncol = 4, nrow = 2
)
|
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