P-values for tbl_continuous — add_p.tbl

P-values for tbl_continuous

# S3 method for tbl_continuous
add_p(
  x,
  test = NULL,
  pvalue_fun = NULL,
  include = everything(),
  test.args = NULL,
  group = NULL,
  ...
)

Arguments

x: Object with class tbl_summary from the tbl_summary function
test: List of formulas specifying statistical tests to perform for each variable. Default is two-way ANOVA when by= is not NULL, and has the same defaults as add_p.tbl_continuous() when by = NULL. See tests for details, more tests, and instruction for implementing a custom test.
pvalue_fun: Function to round and format p-values. Default is style_pvalue. The function must have a numeric vector input (the numeric, exact p-value), and return a string that is the rounded/formatted p-value (e.g. pvalue_fun = function(x) style_pvalue(x, digits = 2) or equivalently, purrr::partial(style_pvalue, digits = 2)).
include: Variables to include in output. Input may be a vector of quoted variable names, unquoted variable names, or tidyselect select helper functions. Default is everything().
test.args: List of formulas containing additional arguments to pass to tests that accept arguments. For example, add an argument for all t-tests, use test.args = all_tests("t.test") ~ list(var.equal = TRUE)
group: Column name (unquoted or quoted) of an ID or grouping variable. The column can be used to calculate p-values with correlated data. Default is NULL. See tests for methods that utilize the group= argument.
...: Not used

add_p_continuous_ex1 <-
  tbl_continuous(
    data = trial,
    variable = age,
    by = trt,
    include = grade
  ) %>%
  add_p()