adjust_p

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

internal

Craft polished tables and plots in Markdown reports.
Simply choose whether to treat your data as counts or metrics,
and the package will automatically generate well-designed default tables and plots for you.
Boiled down to the basics, with labeling features and simple interactive reports.
All functions are 'tidyverse' compatible.

Jakob Jünger

volker

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

Henrieke Kotthoff

Chantal Gärtner

adjust_p function

<dl><dt>df</dt>
<dd>A data frame or tibble containing the column to adjust.</dd>
<dt>col</dt>
<dd>A tidyselect expression specifying the p-value column to adjust.</dd>
<dt>method</dt>
<dd>Character string specifying the p-value adjustment method.
See <code><a href="/link/p.adjust?package=volker&version=3.2.0" data-mini-rdoc="volker::p.adjust">p.adjust</a></code> for available methods. Disable adjustment with FALSE.</dd>
<dt>digits</dt>
<dd>Integer; number of decimal places for rounding.</dd>
<dt>stars</dt>
<dd>Logical or character; if <code>TRUE</code>, add a "stars" column
with significance symbols (e.g., <code>"***"</code>, <code>"**"</code>, <code>"*"</code>)
based on the adjusted p-values.
If set to a character value it determines the new column name.</dd></dl>

Arguments

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

<dl>

<dt>df</dt>
<dd>A data frame or tibble containing the column to adjust.</dd>


<dt>col</dt>
<dd>A tidyselect expression specifying the p-value column to adjust.</dd>


<dt>method</dt>
<dd>Character string specifying the p-value adjustment method.
See <code><a href='https://rdrr.io/r/stats/p.adjust.html'>p.adjust</a></code> for available methods. Disable adjustment with FALSE.</dd>


<dt>digits</dt>
<dd>Integer; number of decimal places for rounding.</dd>


<dt>stars</dt>
<dd>Logical or character; if <code>TRUE</code>, add a "stars" column
with significance symbols (e.g., <code>"***"</code>, <code>"**"</code>, <code>"*"</code>)
based on the adjusted p-values.
If set to a character value it determines the new column name.</dd>

</dl>

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

Description

Usage

Value

Arguments