scale_color_viridis {viridis} | R Documentation

## Viridis color scales

### Description

Uses the viridis color scale.

### Usage

    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")

### Arguments

`...` | parameters to `discrete_scale` or `scale_fill_gradientn`
`alpha` | pass through parameter to `viridis`
`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: `FALSE` - generate continuous palette)
`option` | A character string indicating the colormap option to use. Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), and "viridis" (or "D", the default option).

### Details

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.

### Author(s)

Noam Ross noam.ross@gmail.com / @noamross (continuous version), Bob Rudis bob@rud.is / @hrbrmstr (combined version)

### Examples

    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),
      ncol=2, nrow=2
    )

[Package viridis version 0.4.0 Index]