scale_manual {ggplot2} | R Documentation |
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) scale_color_manual(..., values)
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 |
... |
common discrete scale parameters: |
p <- qplot(mpg, wt, data = mtcars, 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"))