View source: R/scale_divergingx.R
scale_colour_continuous_divergingx | R Documentation |
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, alpha = 1, rev = FALSE, 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, alpha = 1, rev = FALSE, mid = 0, na.value = "grey50", guide = "colourbar", n_interp = 11, aesthetics = "colour", ... ) scale_fill_continuous_divergingx(..., aesthetics = "fill")
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 |
alpha |
Numeric vector of values in the range |
rev |
If |
mid |
Data value that should be mapped to the mid-point of the diverging color scale. |
na.value |
Color to be used for missing data points. |
guide |
Type of legend. Use |
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
|
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.
library("ggplot2") # volcano plot (difference from mean height) nx = 87 ny = 61 df <- data.frame(diff = c(volcano) - mean(volcano), x = rep(1:nx, ny), y = rep(1:ny, each = nx)) ggplot(df, aes(x, y, fill=diff)) + geom_raster() + scale_fill_continuous_divergingx(palette = "Fall", rev = TRUE) + coord_fixed(expand = FALSE) # adapted from stackoverflow: https://stackoverflow.com/a/20127706/4975218 # generate dataset and base plot 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")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.