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.
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"
)
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
.
Colour to use for missing values
Type of legend. Use 'colourbar'
for continuous
colour bar, or 'legend'
for discrete colour legend.
Other colour tableau:
scale_colour_gradient_tableau()
,
scale_colour_tableau()
,
tableau_color_pal()
,
tableau_gradient_pal()
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")