separate_p_footnotes: Create footnotes for individual p-values

In ddsjoberg/gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

Create footnotes for individual p-values

Description

\lifecycle

experimental The usual presentation of footnotes for p-values on a gtsummary table is to have a single footnote that lists all statistical tests that were used to compute p-values on a given table. The separate_p_footnotes() function separates aggregated p-value footnotes to individual footnotes that denote the specific test used for each of the p-values.

Usage

separate_p_footnotes(x)

Arguments

x	object with class "tbl_summary" or "tbl_svysummary"

Example Output

Example 1

See Also

Review list, formula, and selector syntax used throughout gtsummary

Other tbl_summary tools: add_n.tbl_summary(), add_overall(), add_p.tbl_summary(), add_q(), add_stat_label(), bold_italicize_labels_levels, inline_text.tbl_summary(), inline_text.tbl_survfit(), modify, tbl_custom_summary(), tbl_merge(), tbl_split(), tbl_stack(), tbl_strata(), tbl_summary()

Other tbl_svysummary tools: add_n.tbl_summary(), add_overall(), add_p.tbl_svysummary(), add_q(), add_stat_label(), modify, tbl_merge(), tbl_split(), tbl_stack(), tbl_strata(), tbl_svysummary()

Examples

# Example 1 ----------------------------------
separate_p_footnotes_ex1 <-
  trial %>%
  select(trt, age, grade) %>%
  tbl_summary(by = trt) %>%
  add_p() %>%
  separate_p_footnotes()

ddsjoberg/gtsummary documentation built on Nov. 3, 2023, 11:42 a.m.