Sequential, diverging and qualitative colour scales from colorbrewer.org
brewer scales provides sequential, diverging and qualitative
colour schemes from ColorBrewer. These are particularly well suited to
display discrete values on a map. See http://colorbrewer2.org for
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.
brewer scales were carefully designed and tested on discrete data.
They were not designed to be extended to continuous data, but results often
look good. Your mileage may vary.
distiller scales extends brewer to continuous scales by smoothly
interpolate 6 colours from any palette to a continuous scale.
The following palettes are available for use with these scales:
dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity))) d + scale_colour_brewer() # Change scale label 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")