print.circumplex_structure

Compact display of a <code>fit_structure()</code> object: the four factor-analytic
criteria with their statistics and interpretive classifications, and the
RANDALL order test with its randomization p-value.

Circumplex models, which organize constructs in a circle around two
underlying dimensions, are popular for studying interpersonal functioning,
mood/affect, and vocational preferences/environments. This package provides
tools for analyzing and visualizing circular data, including scoring
functions for relevant instruments and a generalization of the bootstrapped
structural summary method from Zimmermann & Wright (2017)
<doi:10.1177/1073191115621795> and functions for creating publication-ready
tables and figures from the results.

Jeffrey Girard

circumplex

Analysis and Visualization of Circular Data

Johannes Zimmermann

Aidan Wright

print.circumplex_structure function

<dl><dt>x</dt>
<dd>A <code>circumplex_structure</code> object.</dd>
<dt>digits</dt>
<dd>The number of decimal places to display (default = 3).</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Print circumplex-structure test results — print.circumplex_structure

<dl>

<dt>x</dt>
<dd>A <code>circumplex_structure</code> object.</dd>


<dt>digits</dt>
<dd>The number of decimal places to display (default = 3).</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

print.circumplex_structure: Print circumplex-structure test results

Description

Usage

Value

Arguments