print.circumplex_cpm

Compact display of a <code>cpm_fit()</code> object: the estimated angles and communality
indices with confidence intervals, a one-line fit summary, and any
boundary/convergence notes.

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_cpm function

<dl><dt>x</dt>
<dd>A <code>circumplex_cpm</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 a circular process model fit — print.circumplex_cpm

<dl>

<dt>x</dt>
<dd>A <code>circumplex_cpm</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_cpm: Print a circular process model fit

Description

Usage

Value

Arguments