adjust_p: Adjust p-values from multiple tests and optionally annotate...

In volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

Adjust p-values from multiple tests and optionally annotate significance stars

Description

Adjust p-values from multiple tests and optionally annotate significance stars

Usage

adjust_p(df, col, method = "fdr", digits = 3, stars = TRUE)

Arguments

df	A data frame or tibble containing the column to adjust.
col	A tidyselect expression specifying the p-value column to adjust.
method	Character string specifying the p-value adjustment method. See p.adjust for available methods. Disable adjustment with FALSE.
digits	Integer; number of decimal places for rounding.
stars	Logical or character; if TRUE, add a "stars" column with significance symbols (e.g., "***", "**", "*") based on the adjusted p-values. If set to a character value it determines the new column name.

Value

A modified data frame with:

• Adjusted p-values in the selected column.

• (Optionally) a new column stars containing significance symbols.

• An attribute "adjust" on the data frame storing the method.

• A "round" attribute on the p-value column.

volker documentation built on Nov. 5, 2025, 5:21 p.m.