.effect_correlations

Test whether correlations are different from zero

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_correlations function

<dl><dt>data</dt>
<dd>A tibble.</dd>
<dt>cols</dt>
<dd>The columns holding metric values.</dd>
<dt>cross</dt>
<dd>The columns holding metric values to correlate.</dd>
<dt>method</dt>
<dd>The output metrics, pearson = Pearson's R, spearman = Spearman's rho.
The reported R square value is just squared Spearman's or Pearson's R.</dd>
<dt>labels</dt>
<dd>If TRUE (default) extracts labels from the attributes, see codebook.</dd></dl>

Arguments

Test whether correlations are different from zero — .effect_correlations

<dl>

<dt>data</dt>
<dd>A tibble.</dd>


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


<dt>cross</dt>
<dd>The columns holding metric values to correlate.</dd>


<dt>method</dt>
<dd>The output metrics, pearson = Pearson's R, spearman = Spearman's rho.
The reported R square value is just squared Spearman's or Pearson's R.</dd>


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

</dl>

.effect_correlations: Test whether correlations are different from zero

Description

Usage

Value

Arguments