Create your own discrete scale.
Create your own discrete scale.
scale_colour_manual(..., values) scale_fill_manual(..., values) scale_size_manual(..., values) scale_shape_manual(..., values) scale_linetype_manual(..., values) scale_alpha_manual(..., values)
... |
common discrete scale parameters: |
values |
a set of aesthetic values to map data values to. If this
is a named vector, then the values will be matched based on the names.
If unnamed, values will be matched in order (usually alphabetical) with
the limits of the scale. Any data values that don't match will be
given |
p <- ggplot(mtcars, aes(mpg, wt)) +
geom_point(aes(colour = factor(cyl)))
p + scale_colour_manual(values = c("red","blue", "green"))
p + scale_colour_manual(
values = c("8" = "red","4" = "blue","6" = "green"))
# With rgb hex values
p + scale_colour_manual(values = c("#FF0000", "#0000FF", "#00FF00"))
# As with other scales you can use breaks to control the appearance
# of the legend
cols <- c("8" = "red","4" = "blue","6" = "darkgreen", "10" = "orange")
p + scale_colour_manual(values = cols)
p + scale_colour_manual(values = cols, breaks = c("4", "6", "8"))
p + scale_colour_manual(values = cols, breaks = c("8", "6", "4"))
p + scale_colour_manual(values = cols, breaks = c("4", "6", "8"),
labels = c("four", "six", "eight"))
# And limits to control the possible values of the scale
p + scale_colour_manual(values = cols, limits = c("4", "8"))
p + scale_colour_manual(values = cols, limits = c("4", "6", "8", "10"))
# Notice that the values are matched with limits, and not breaks
p + scale_colour_manual(limits = c(6, 8, 4), breaks = c(8, 4, 6),
values = c("grey50", "grey80", "black"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.