effect_metrics_items

The test is calculated using <code>stats::<a href="/link/shapiro.test?package=volker&version=3.1.0" data-mini-rdoc="volker::shapiro.test">shapiro.test</a></code>.

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

effect_metrics_items function

<dl><dt>data</dt>
<dd>A tibble containing item measures.</dd>
<dt>cols</dt>
<dd>The column holding metric values.</dd>
<dt>labels</dt>
<dd>If TRUE (default) extracts labels from the attributes, see codebook.</dd>
<dt>clean</dt>
<dd>Prepare data by data_clean.</dd>
<dt>...</dt>
<dd>Placeholder to allow calling the method with unused parameters from effect_metrics.</dd></dl>

Arguments

The test is calculated using <code>stats::<a href='https://rdrr.io/r/stats/shapiro.test.html'>shapiro.test</a></code>.

Test whether a distribution is normal for each item — effect_metrics_items

<dl>

<dt>data</dt>
<dd>A tibble containing item measures.</dd>


<dt>cols</dt>
<dd>The column holding metric values.</dd>


<dt>labels</dt>
<dd>If TRUE (default) extracts labels from the attributes, see codebook.</dd>


<dt>clean</dt>
<dd>Prepare data by data_clean.</dd>


<dt>...</dt>
<dd>Placeholder to allow calling the method with unused parameters from effect_metrics.</dd>

</dl>

effect_metrics_items: Test whether a distribution is normal for each item

Description

Usage

Value

Arguments

Examples