labellers: Labeller functions

Description

Labeller functions are in charge of formatting the strip labels of facet grids and wraps. Most of them accept a multi_line argument to control whether multiple factors (defined in formulae such as ~first + second) should be displayed on a single line separated with commas, or each on their own line.

Usage

label_value(labels, multi_line = TRUE)
 label_both(labels, multi_line = TRUE, sep = ": ")
 label_context(labels, multi_line = TRUE, sep = ": ")
 label_parsed(labels, multi_line = TRUE)
 label_wrap_gen(width = 25, multi_line = TRUE)

Arguments

labels

Data frame of labels. Usually contains only one element, but facetting over multiple factors entails multiple label variables.

multi_line

Whether to display the labels of multiple factors on separate lines.

sep

String separating variables and values.

width

Maximum number of characters before wrapping the strip.

Writing New Labeller Functions

Note that an easy way to write a labeller function is to transform a function operating on character vectors with as_labeller(). A labeller function accepts a data frame of labels (character vectors) containing one column for each factor. Multiple factors occur with formula of the type ~first + second. The return value must be a rectangular list where each 'row' characterises a single facet. The list elements can be either character vectors or lists of plotmath expressions. When multiple elements are returned, they get displayed on their own new lines (i.e., each facet gets a multi-line strip of labels). To illustrate, let's say your labeller returns a list of two character vectors of length 3. This is a rectangular list because all elements have the same length. The first facet will get the first elements of each vector and display each of them on their own line. Then the second facet gets the second elements of each vector, and so on. If it's useful to your labeller, you can retrieve the type attribute of the incoming data frame of labels. The value of this attribute reflects the kind of strips your labeller is dealing with: "cols" for columns and "rows" for rows. Note that facet_wrap() has columns by default and rows when the strips are switched with the switch option. The facet attribute also provides metadata on the labels. It takes the values "grid" or "wrap". For compatibility with labeller(), each labeller function must have the labeller S3 class.

Details

label_value() only displays the value of a factor while label_both() displays both the variable name and the factor value. label_context() is context-dependent and uses label_value() for single factor facetting and label_both() when multiple factors are involved. label_wrap_gen() uses strwrap() for line wrapping.

label_parsed() interprets the labels as plotmath expressions. label_bquote() offers a more flexible way of constructing plotmath expressions. See examples and bquote() for details on the syntax of the argument.

Examples

Run this code

mtcars$cyl2 <- factor(mtcars$cyl, labels = c("alpha", "beta", "gamma")) p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()  # Displaying only the values p + facet_grid(. ~ cyl) p + facet_grid(. ~ cyl, labeller = label_value)   # Displaying both the values and the variables p + facet_grid(. ~ cyl, labeller = label_both)  # Displaying only the values or both the values and variables # depending on whether multiple factors are facetted over p + facet_grid(am ~ vs+cyl, labeller = label_context)  # Interpreting the labels as plotmath expressions p + facet_grid(. ~ cyl2) p + facet_grid(. ~ cyl2, labeller = label_parsed) p + facet_wrap(~vs + cyl2, labeller = label_parsed)

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