scale_color_viridis {viridis} | R Documentation |
Uses the viridis color scale.
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") scale_fill_viridis(..., alpha = 1, begin = 0, end = 1, direction = 1, discrete = FALSE, option = "D")
... |
parameters to |
alpha |
pass through parameter to |
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 as output by viridis_pal. If -1, the order of colors is reversed. |
discrete |
generate a discrete palette? (default: |
option |
A character string indicating the colormap option to use. Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), "viridis" (or "D", the default option) and "cividis" (or "E"). |
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 for more information on the color scale.
Noam Ross noam.ross@gmail.com / @noamross (continuous version), Bob Rudis bob@rud.is / @hrbrmstr (combined version)
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="Virdis A", y=NULL), gg + scale_fill_viridis(option="B") + labs(x="Virdis B", y=NULL), gg + scale_fill_viridis(option="C") + labs(x="Virdis C", y=NULL), gg + scale_fill_viridis(option="D") + labs(x="Virdis D", y=NULL), gg + scale_fill_viridis(option="E") + labs(x="Virdis E", y=NULL), ncol=3, nrow=2 )