Sequential, diverging and qualitative colour scales from colorbrewer.org
ColorBrewer provides sequential, diverging and qualitative colour schemes which are particularly suited and tested to display discrete values (levels of a factor) on a map. ggplot2 can use those colours in discrete scales. It also allows to smoothly interpolate 6 colours from any palette to a continuous scale (6 colours per palette gives nice gradients; more results in more saturated colours which do not look as good). However, the original colour schemes (particularly the qualitative ones) were not intended for this and the perceptual result is left to the appreciation of the user. See http://colorbrewer2.org for more information.
scale_colour_brewer(..., type = "seq", palette = 1, direction = 1)scale_fill_brewer(..., type = "seq", palette = 1, direction = 1)scale_colour_distiller(..., type = "seq", palette = 1, direction = -1, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar")scale_fill_distiller(..., type = "seq", palette = 1, direction = -1, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar")
- Other arguments passed on to
discrete_scaleto control name, limits, breaks, labels and so forth.
- One of seq (sequential), div (diverging) or qual (qualitative)
- If a string, will use that named palette. If a number, will
index into the list of palettes of appropriate
- Sets the order of colors in the scale. If 1, the default,
colors are as output by
brewer.pal. If -1, the order of colors is reversed.
- if colours should not be evenly positioned along the gradient
this vector gives the position (between 0 and 1) for each colour in the
rescalefor a convience function to map an arbitrary range to between 0 and 1.
- colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.
- Colour to use for missing values
- Type of legend. Use
"colourbar"for continuous colour bar, or
"legend"for discrete colour legend.
The following palettes are available for use with these scales:
- BrBG, PiYG, PRGn, PuOr, RdBu, RdGy, RdYlBu, RdYlGn, Spectral
- Accent, Dark2, Paired, Pastel1, Pastel2, Set1, Set2, Set3
- Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges, OrRd, PuBu, PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu, YlOrBr, YlOrRd
dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity))) # Change scale label d + scale_colour_brewer() d + scale_colour_brewer("Diamond\nclarity") # Select brewer palette to use, see ?scales::brewer_pal for more details d + scale_colour_brewer(palette = "Greens") d + scale_colour_brewer(palette = "Set1") # scale_fill_brewer works just the same as # scale_colour_brewer but for fill colours p <- ggplot(diamonds, aes(x = price, fill = cut)) + geom_histogram(position = "dodge", binwidth = 1000) p + scale_fill_brewer() # the order of colour can be reversed p + scale_fill_brewer(direction = -1) # the brewer scales look better on a darker background p + scale_fill_brewer(direction = -1) + theme_dark() # Use distiller variant with continous data v <- ggplot(faithfuld) + geom_tile(aes(waiting, eruptions, fill = density)) v v + scale_fill_distiller() v + scale_fill_distiller(palette = "Spectral")