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",
...,
na.value = "grey50",
guide = "colourbar"
)
scale_fill_gradient2_tableau(
palette = "Orange-Blue Diverging",
...,
na.value = "grey50",
guide = "colourbar"
)
scale_color_gradient2_tableau(
palette = "Orange-Blue Diverging",
...,
na.value = "grey50",
guide = "colourbar"
)Arguments
- palette
Palette name.
"ordered-sequential""Blue-Green Sequential","Blue Light","Orange Light","Blue","Orange","Green","Red","Purple","Brown","Gray","Gray Warm","Blue-Teal","Orange-Gold","Green-Gold","Red-Gold","Classic Green","Classic Gray","Classic Blue","Classic Red","Classic Orange","Classic Area Red","Classic Area Green","Classic Area-Brown""ordered-diverging""Orange-Blue Diverging","Red-Green Diverging","Green-Blue Diverging","Red-Blue Diverging","Red-Black Diverging","Gold-Purple Diverging","Red-Green-Gold Diverging","Sunset-Sunrise Diverging","Orange-Blue-White Diverging","Red-Green-White Diverging","Green-Blue-White Diverging","Red-Blue-White Diverging","Red-Black-White Diverging","Orange-Blue Light Diverging","Temperature Diverging","Classic Red-Green","Classic Red-Blue","Classic Red-Black","Classic Area Red-Green","Classic Orange-Blue","Classic Green-Blue","Classic Red-White-Green","Classic Red-White-Black","Classic Orange-White-Blue","Classic Red-White-Black Light","Classic Orange-White-Blue Light","Classic Red-White-Green Light","Classic Red-Green Light"
- ...
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_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")
