R: Tableau sequential colour scale (continuous)

scale_colour_gradient_tableau {ggthemes} | R Documentation

## Tableau sequential colour scale (continuous)

### Description

Tableau sequential colour scale (continuous)

### Usage

    scale_colour_gradient_tableau(palette = "Red", ..., space = "Lab",
      na.value = "grey50", guide = "colourbar")

    scale_fill_gradient_tableau(palette = "Red", ..., space = "Lab",
      na.value = "grey50", guide = "colourbar")

    scale_color_gradient_tableau(palette = "Red", ..., space = "Lab",
      na.value = "grey50", guide = "colourbar")

    scale_color_continuous_tableau(palette = "Red", ..., space = "Lab",
      na.value = "grey50", guide = "colourbar")

    scale_fill_continuous_tableau(palette = "Red", ..., space = "Lab",
      na.value = "grey50", guide = "colourbar")

### Arguments

`palette` | Palette name. See `ggthemes_data$tableau$sequential`.
`...` | Other arguments passed on to `discrete_scale` to control name, limits, breaks, labels and so forth.
`space` | Colour space in which to calculate gradient.
`na.value` | Colour to use for missing values
`guide` | Type of legend. Use `'colourbar'` for continuous colour bar, or `'legend'` for discrete colour legend.

### See Also

Other colour tableau: `scale_colour_gradient2_tableau`, `scale_colour_tableau`, `tableau_color_pal`, `tableau_div_gradient_pal`, `tableau_seq_gradient_pal`

### Examples

    #'
    library("ggplot2")
    library("ggplot2")

    df <- data.frame(
      x = runif(100),
      y = runif(100),
      z1 = rnorm(100),
      z2 = abs(rnorm(100))
    )

    p <- ggplot(df, aes(x, y)) +
         geom_point(aes(colour = z2)) +
         theme_igray()

    p + scale_colour_gradient_tableau("Red")
    p + scale_colour_gradient_tableau("Blue")
    p + scale_colour_gradient_tableau("Green")

[Package ggthemes version 3.4.0 Index]