Label p-values (e.g. <0.001, 0.25, p >= 0.99)

Formatter for p-values, using "<" and ">" for p-values close to 0 and 1.

Usage

label_pvalue(
  accuracy = 0.001,
  decimal.mark = ".",
  prefix = NULL,
  add_p = FALSE
)

Arguments

accuracy

A number to round to. Use (e.g.) 0.01 to show 2 decimal places of precision. If NULL, the default, uses a heuristic that should ensure breaks have the minimum number of digits needed to show the difference between adjacent values.

Applied to rescaled data.

decimal.mark

The character to be used to indicate the numeric decimal point.

prefix

A character vector of length 3 giving the prefixes to put in front of numbers. The default values are c("<", "", ">") if add_p is TRUE and c("p<", "p=", "p>") if FALSE.

add_p

Add "p=" before the value?

Value

All label_() functions return a "labelling" function, i.e. a function that takes a vector x and returns a character vector of length(x) giving a label for each input value.

Labelling functions are designed to be used with the labels argument of ggplot2 scales. The examples demonstrate their use with x scales, but they work similarly for all scales, including those that generate legends rather than axes.

See also

Other labels for continuous scales: label_bytes(), label_currency(), label_number_auto(), label_number_si(), label_ordinal(), label_parse(), label_percent(), label_scientific()

Examples

demo_continuous(c(0, 1))
#> scale_x_continuous()

demo_continuous(c(0, 1), labels = label_pvalue())
#> scale_x_continuous(labels = label_pvalue())

demo_continuous(c(0, 1), labels = label_pvalue(accuracy = 0.1))
#> scale_x_continuous(labels = label_pvalue(accuracy = 0.1))

demo_continuous(c(0, 1), labels = label_pvalue(add_p = TRUE))
#> scale_x_continuous(labels = label_pvalue(add_p = TRUE))


# Or provide your own prefixes
prefix <- c("p < ", "p = ", "p > ")
demo_continuous(c(0, 1), labels = label_pvalue(prefix = prefix))
#> scale_x_continuous(labels = label_pvalue(prefix = prefix))