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.
label_pvalue( accuracy = 0.001, decimal.mark = ".", prefix = NULL, add_p = FALSE ) pvalue_format( accuracy = 0.001, decimal.mark = ".", prefix = NULL, add_p = FALSE ) pvalue(x, accuracy = 0.001, decimal.mark = ".", prefix = NULL, add_p = FALSE)
accuracy |
A number to round to. Use (e.g.) 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 |
add_p |
Add "p=" before the value? |
x |
A numeric vector to format. |
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.
pvalue()
and pvalue_dollar()
are retired; please use label_pvalue()
instead.
Other labels for continuous scales:
label_bytes()
,
label_dollar()
,
label_number_auto()
,
label_number_si()
,
label_ordinal()
,
label_parse()
,
label_percent()
,
label_scientific()
demo_continuous(c(0, 1)) demo_continuous(c(0, 1), labels = label_pvalue()) demo_continuous(c(0, 1), labels = label_pvalue(accuracy = 0.1)) demo_continuous(c(0, 1), 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))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.