ggthemes (version 6.0.0)

scale_colour_gradient2_tableau: Tableau diverging colour scales (continuous)

Description

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

Usage

scale_colour_gradient2_tableau(
  palette = "Orange-Blue Diverging",
  ...,
  midpoint = 0,
  na.value = "grey50",
  guide = "colourbar"
)
scale_fill_gradient2_tableau(
  palette = "Orange-Blue Diverging",
  ...,
  midpoint = 0,
  na.value = "grey50",
  guide = "colourbar"
)
scale_color_gradient2_tableau(
  palette = "Orange-Blue Diverging",
  ...,
  midpoint = 0,
  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.

midpoint

The data value that corresponds to the middle color of the diverging palette.

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_gradient_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))

palettes <-
  ggthemes_data[["tableau"]][["color-palettes"]][["ordered-diverging"]]
for (palette in head(names(palettes))) {
  print(p + scale_colour_gradient2_tableau(palette) + ggtitle(palette))
}

# If you need to reverse a palette, use a transformation
p + scale_colour_gradient2_tableau(trans = "reverse")