add_qsig: Add BH-adjusted q-values and significance stars

In bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging

Add BH-adjusted q-values and significance stars

Description

Adds Benjamini-Hochberg adjusted q-values and a simple significance code column based on p-values contained in a data frame.

Usage

add_qsig(df)

Arguments

df	A data frame containing at least a numeric column p_value. If df is NULL or has zero rows, it is returned unchanged.

Details

The function:

• Computes q_value using p.adjust(method = "BH").

• Creates a sig column with significance codes:

  • "***" for q_value <= 0.001

  • "**" for 0.001 < q_value <= 0.01

  • "*" for 0.01 < q_value <= 0.05

  • "" otherwise

Value

The input data frame with added columns q_value and sig. If df is NULL or empty, it is returned as is.

bivarhr documentation built on July 7, 2026, 1:06 a.m.