dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
(d <- qplot(carat, price, data=dsamp, 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), rep = TRUE))
qplot(mpg, wt, data = mtcars, colour = miss)
qplot(mpg, wt, data = mtcars, colour = miss) +
scale_colour_hue(na.value = "black")
Run the code above in your browser using DataLab