scale_manual: Create your own discrete scale

In SahaRahul/ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

Description

This allows you to specify you own set of mappings from levels in the data to aesthetic values.

Usage

scale_colour_manual(..., values)

scale_fill_manual(..., values)

scale_size_manual(..., values)

scale_shape_manual(..., values)

scale_linetype_manual(..., values)

scale_alpha_manual(..., values)

Arguments

...

Arguments passed on to discrete_scale breaks One of: NULL for no breaks waiver() for the default breaks computed by the transformation object A character vector of breaks A function that takes the limits as input and returns breaks as output limits A character vector that defines possible values of the scale and their order. drop Should unused factor levels be omitted from the scale? The default, TRUE, uses the levels that appear in the data; FALSE uses all the levels in the factor. na.translate Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify na.translate = FALSE. na.value If na.translate = TRUE, what value aesthetic value should missing be displayed as? Does not apply to position scales where NA is always placed at the far right. aesthetics The names of the aesthetics that this scale works with scale_name The name of the scale palette A palette function that when called with a single integer argument (the number of levels in the scale) returns the values that they should take name The name of the scale. Used as axis or legend title. If waiver(), the default, the name of the scale is taken from the first mapping used for that aesthetic. If NULL, the legend title will be omitted. labels One of: NULL for no labels waiver() for the default labels computed by the transformation object A character vector giving labels (must be same length as breaks) A function that takes the breaks as input and returns labels as output guide A function used to create a guide or its name. See guides() for more info. super The super class to use for the constructed scale

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 na.value.

Examples

p <- ggplot(mtcars, aes(mpg, wt)) +
  geom_point(aes(colour = factor(cyl)))
p + scale_colour_manual(values = c("red", "blue", "green"))

# It's recommended to use a named vector
cols <- c("8" = "red", "4" = "blue", "6" = "darkgreen", "10" = "orange")
p + scale_colour_manual(values = cols)

# As with other scales you can use breaks to control the appearance
# of the legend.
p + scale_colour_manual(values = cols)
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"))

SahaRahul/ggplot2 documentation built on May 17, 2019, 1:46 p.m.