ggthemes (version 5.1.0)

scale_colour_gradient_tableau: Tableau sequential colour scales (continuous)

Description

Continuous color scales using the sequential color palettes in Tableau. See scale_colour_tableau() for Tableau discrete color scales, and scale_colour_gradient2_tableau() for diverging color scales.

Usage

scale_colour_gradient_tableau(
  palette = "Blue",
  ...,
  na.value = "grey50",
  guide = "colourbar"
)
scale_fill_gradient_tableau(
  palette = "Blue",
  ...,
  na.value = "grey50",
  guide = "colourbar"
)
scale_color_gradient_tableau(
  palette = "Blue",
  ...,
  na.value = "grey50",
  guide = "colourbar"
)
scale_color_continuous_tableau(
  palette = "Blue",
  ...,
  na.value = "grey50",
  guide = "colourbar"
)
scale_fill_continuous_tableau(
  palette = "Blue",
  ...,
  na.value = "grey50",
  guide = "colourbar"
)

Arguments

palette

Palette name.

"ordered-sequential"

ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))

"ordered-diverging"

ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))

...

Arguments passed to tableau_gradient_pal.

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_gradient_pal()

Examples

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()

palettes <-
  ggthemes_data[["tableau"]][["color-palettes"]][["ordered-sequential"]]
for (palette in head(names(palettes))) {
  print(p + scale_colour_gradient_tableau(palette) +
          ggtitle(palette))
}