scale_colour_gradient {ggplot2} | R Documentation |
Default colours are generated with munsell and
mnsl(c("2.5PB 2/4", "2.5PB 7/10")
. Generally, for
continuous colour scales you want to keep hue constant,
but vary chroma and luminance. The munsell package
makes this easy to do using the Munsell colour system.
scale_colour_gradient(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_fill_gradient(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_colour_continuous(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_fill_continuous(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_color_continuous(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_color_gradient(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar")
guide |
Type of legend. Use |
... |
Other arguments passed on to
|
na.value |
Colour to use for missing values |
low |
colour for low end of gradient. |
high |
colour for high end of gradient. |
space |
colour space in which to calculate gradient. "Lab" usually best unless gradient goes through white. |
seq_gradient_pal
for details on
underlying palette
Other colour scales: scale_color_brewer
,
scale_color_discrete
,
scale_color_gradient2
,
scale_color_gradientn
,
scale_color_grey
,
scale_color_hue
,
scale_colour_brewer
,
scale_colour_discrete
,
scale_colour_gradient2
,
scale_colour_gradientn
,
scale_colour_grey
,
scale_colour_hue
,
scale_fill_brewer
,
scale_fill_discrete
,
scale_fill_gradient2
,
scale_fill_gradientn
,
scale_fill_grey
,
scale_fill_hue
# It's hard to see, but look for the bright yellow dot # in the bottom right hand corner dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) (d <- qplot(x, y, data=dsub, colour=z)) # That one point throws our entire scale off. We could # remove it, or manually tweak the limits of the scale # Tweak scale limits. Any points outside these limits will not be # plotted, and will not affect the calculation of statistics, etc d + scale_colour_gradient(limits=c(3, 10)) d + scale_colour_gradient(limits=c(3, 4)) # Setting the limits manually is also useful when producing # multiple plots that need to be comparable # Alternatively we could try transforming the scale: d + scale_colour_gradient(trans = "log") d + scale_colour_gradient(trans = "sqrt") # Other more trivial manipulations, including changing the name # of the scale and the colours. d + scale_colour_gradient("Depth") d + scale_colour_gradient(expression(Depth[mm])) d + scale_colour_gradient(limits=c(3, 4), low="red") d + scale_colour_gradient(limits=c(3, 4), low="red", high="white") # Much slower d + scale_colour_gradient(limits=c(3, 4), low="red", high="white", space="Lab") d + scale_colour_gradient(limits=c(3, 4), space="Lab") # scale_fill_continuous works similarly, but for fill colours (h <- qplot(x - y, data=dsub, geom="histogram", binwidth=0.01, fill=..count..)) h + scale_fill_continuous(low="black", high="pink", limits=c(0,3100)) # Colour of missing values is controlled with na.value: miss <- sample(c(NA, 1:5), nrow(mtcars), rep = TRUE) qplot(mpg, wt, data = mtcars, colour = miss) qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_gradient(na.value = "black")