scale_colour_continuous_divergingx.Rd
Continuous ggplot2 color scales using the color palettes generated by divergingx_hcl
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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")
palette | The name of the palette to be used. |
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h1, h2, h3, c1, c2, c3, l1, l2, l3, p1, p2, p3, p4, cmax1, cmax2 | Parameters to customize the scale. See |
rev | If |
begin | For sequential scales, number in the range of |
end | For sequential scales, number in the range of |
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 |
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
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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 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")