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Add p-value

Source: R/add_pvalue.R
add_pvalue.Rd

  • add_pvalue("caption"): Add a p-value to the figure via ggplot2::labs(caption=)

  • add_pvalue("annotation"): Add a p-value text annotation via ggplot2::annotation("text")

P-values are calculated with survival::survdiff() or tidycmprsk::glance(). Examples of custom placement located in the help file for survfit_p().

When a competing risks figure includes multiple outcomes, only the p-value comparing stratum for the first outcome can be placed.

Usage

add_pvalue(
  location = c("caption", "annotation"),
  caption = "{p.value}",
  prepend_p = TRUE,
  pvalue_fun = format_p,
  rho = 0,
  ...
)

Arguments

location

string indicating where to place p-value. Must be one of c("caption", "annotation")

caption

string to be placed as the caption/annotation. String will be processed with glue::glue(), and the default is "{p.value}"

prepend_p

prepend "p=" to formatted p-value

pvalue_fun

function to round and style p-value with

rho

argument passed to survival::survdiff(rho=)

...

arguments passed to ggplot2::annotate(). Commonly used arguments are x= and y= to place the p-value at the specified coordinates on the plot.

Value

a ggplot2 figure

See also

survfit_p()

Examples

survfit2(Surv(time, status) ~ surg, df_colon) %>%
  ggsurvfit() +
  add_pvalue(caption = "Log-rank {p.value}") +
  scale_ggsurvfit()


survfit2(Surv(time, status) ~ surg, df_colon) %>%
  ggsurvfit() +
  add_pvalue("annotation", size = 5) +
  scale_ggsurvfit()