HCL-Based Continuous Flexible Diverging Scales for ggplot2

Continuous ggplot2 color scales using the color palettes generated by divergingx_hcl.

scale_colour_continuous_divergingx(palette = "Geyser", c1 = NULL,
  c2 = NULL, c3 = NULL, l1 = NULL, l2 = NULL, l3 = NULL,
  h1 = NULL, h2 = NULL, h3 = NULL, p1 = NULL, p2 = NULL,
  p3 = NULL, p4 = NULL, cmax1 = NULL, cmax2 = NULL, rev = FALSE,
  begin = 0, end = 1, mid = 0, na.value = "grey50",
  guide = "colourbar", n_interp = 11, aesthetics = "colour", ...)

scale_color_continuous_divergingx(palette = "Geyser", c1 = NULL,
  c2 = NULL, c3 = NULL, l1 = NULL, l2 = NULL, l3 = NULL,
  h1 = NULL, h2 = NULL, h3 = NULL, p1 = NULL, p2 = NULL,
  p3 = NULL, p4 = NULL, cmax1 = NULL, cmax2 = NULL, rev = FALSE,
  begin = 0, end = 1, mid = 0, na.value = "grey50",
  guide = "colourbar", n_interp = 11, aesthetics = "colour", ...)

scale_fill_continuous_divergingx(..., aesthetics = "fill")

Arguments

palette	The name of the palette to be used.
h1, h2, h3, c1, c2, c3, l1, l2, l3, p1, p2, p3, p4, cmax1, cmax2	Parameters to customize the scale. See `divergingx_hcl` for details.
rev	If `TRUE`, reverses the order of the colors in the color scale.
begin	For sequential scales, number in the range of `[0, 1]` indicating to which point in the color scale the smallest data value should be mapped. Ignored for diverging scales.
end	For sequential scales, number in the range of `[0, 1]` indicating to which point in the color scale the largest data value should be mapped. Ignored for diverging scales.
mid	For diverging scales, data value that should be mapped to the mid-point of the diverging color scale. Ignored for sequential scales.
na.value	Color to be used for missing data points.
guide	Type of legend. Use `"colourbar"` for continuous color bar.
n_interp	Number of discrete colors that should be used to interpolate the continuous color scale. For diverging scales, it is important to use an odd number to capture the color at the midpoint.
aesthetics	The ggplot2 aesthetics to which this scale should be applied.
...	common continuous scale parameters: `name`, `breaks`, `labels`, and `limits`. See `continuous_scale` for more details.

Details

Available CARTO palettes: ArmyRose, Earth, Fall, Geyser, TealRose, Temps, Tropic.

Available ColorBrewer.org palettes: Spectral, PuOr, RdYlGn, RdYlBu, RdGy, BrBG, PiYG, PRGn, RdBu.

If both a valid palette name and palette parameters are provided then the provided palette parameters overwrite the parameters in the named palette. This enables easy customization of named palettes.

Examples

# *** Examples for sequential CARTO scales ***

# base plot
library("ggplot2")
gg <- ggplot(iris, aes(x = Species, y = Sepal.Width, color = Sepal.Length)) +
  geom_jitter(width = 0.3) + theme_minimal()

# default settings
gg + scale_color_continuous_divergingx()

# switch palette to ArmyRose
gg + scale_color_continuous_divergingx(palette = "ArmyRose")

# select a range out of the entire palette
gg + scale_color_continuous_divergingx(palette = "ArmyRose", begin = .2, end = .8)

# volcano plot
nx = 87
ny = 61
df <- data.frame(height = c(volcano), x = rep(1:nx, ny), y = rep(1:ny, each = nx))
ggplot(df, aes(x, y, fill=height)) +
  geom_raster() + scale_fill_continuous_divergingx(palette = "Fall", rev = TRUE) +
  coord_fixed(expand = FALSE)


# *** Examples for diverging CARTO scales ***

# adapted from stackoverflow: https://stackoverflow.com/a/20127706/4975218

# generate dataset and base plot
library("ggplot2")
set.seed(100)
df <- data.frame(country = LETTERS, V = runif(26, -40, 40))
df$country = factor(LETTERS, LETTERS[order(df$V)]) # reorder factors
gg <- ggplot(df, aes(x = country, y = V, fill = V)) +
  geom_bar(stat = "identity") +
  labs(y = "Under/over valuation in %", x = "Country") +
  coord_flip() + theme_minimal()

# plot with diverging scale "Geyser"
gg + scale_fill_continuous_divergingx(palette = "Geyser")

# plot with diverging scale "ArmyRose"
gg + scale_fill_continuous_divergingx(palette = "ArmyRose")

Arguments

Details

Examples

Contents