get_xarrows

Creates a data frame for the drawing of arrows in nested charts, including
all correlations between facets that exceed the correlation of the respective
tests.

Generate plots based on the Item Pool Visualization concept for
latent constructs. Item Pool Visualizations are used to display the
conceptual structure of a set of items (self-report or psychometric).
Dantlgraber, Stieger, & Reips (2019) <doi:10.1177/2059799119884283>.

Nils Petras

Item Pool Visualization

Michael Dantlgraber

Ulf-Dietrich Reips

Matthias Bannert

get_xarrows function

<dl><dt>cors</dt>
<dd>list; list of latent correlation matrices of each model</dd>
<dt>design</dt>
<dd>data frame; each facet (column "facet") is matched with its
superordinate test (column "test")</dd></dl>

Arguments

Get Xarrows — get_xarrows

<dl>

<dt>cors</dt>
<dd>list; list of latent correlation matrices of each model</dd>


<dt>design</dt>
<dd>data frame; each facet (column "facet") is matched with its
superordinate test (column "test")</dd>

</dl>

get_xarrows: Get Xarrows

Description

Usage

Value

Arguments