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scale_colour_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50")
scale_fill_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50")
discrete_scale
to control name, limits, breaks, labels and so forth.scale_colour_brewer
,
scale_colour_gradient
,
scale_colour_grey
dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
(d <- ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity)))
# Change scale label
d + scale_colour_hue()
d + scale_colour_hue("clarity")
d + scale_colour_hue(expression(clarity[beta]))
# Adjust luminosity and chroma
d + scale_colour_hue(l=40, c=30)
d + scale_colour_hue(l=70, c=30)
d + scale_colour_hue(l=70, c=150)
d + scale_colour_hue(l=80, c=150)
# Change range of hues used
d + scale_colour_hue(h=c(0, 90))
d + scale_colour_hue(h=c(90, 180))
d + scale_colour_hue(h=c(180, 270))
d + scale_colour_hue(h=c(270, 360))
# Vary opacity
# (only works with pdf, quartz and cairo devices)
d <- ggplot(dsamp, aes(carat, price, colour = clarity))
d + geom_point(alpha = 0.9)
d + geom_point(alpha = 0.5)
d + geom_point(alpha = 0.2)
# Colour of missing values is controlled with na.value:
miss <- factor(sample(c(NA, 1:5), nrow(mtcars), replace = TRUE))
ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(colour = miss))
ggplot(mtcars, aes(mpg, wt)) +
geom_point(aes(colour = miss)) +
scale_colour_hue(na.value = "black")
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