plots

plot.bootEGA

plot.CFA

plot.dynEGA

plot.dynEGA.Groups

plot.dynEGA.Individuals

plot.EGA

plot.NetLoads

Object from <code>EGAnet</code> package

Numeric.
Size of vertices in network plots.
Defaults to <code>6</code>

vsize

Arguments passed on to<ul>
<li><code><a rd-options="qgraph" href="/link/qgraph?package=EGAnet&version=0.9.6&to=qgraph" data-mini-rdoc="qgraph::qgraph">qgraph</a></code>
Functions: bootEGA, dynEGA, dynEGA.Groups, dynEGA.Individuals, EGA, and net.loads</li>
<li><code><a rd-options="semPlot" href="/link/semPaths?package=EGAnet&version=0.9.6&to=semPlot" data-mini-rdoc="semPlot::semPaths">semPaths</a></code>
Functions: CFA</li>
</ul>

Character.
Layout of plot (see <code><a rd-options="semPlot" href="/link/semPaths?package=EGAnet&version=0.9.6&to=semPlot" data-mini-rdoc="semPlot::semPaths">semPaths</a></code>).
Defaults to "spring"

layout

ncol

nrow

Character.
Title of the plot.
Defaults to <code>""</code>

title

Numeric.
An integer or character indicating the ID of the individual to plot

Plots for <code>EGAnet</code> objects

An implementation of the Exploratory Graph Analysis (EGA) framework for dimensionality assessment. EGA is part of a new area called network psychometrics that focuses on the estimation of undirected network models in psychological datasets. EGA estimates the number of dimensions or factors using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community analysis. A bootstrap method for verifying the stability of the estimation is also available. The fit of the structure suggested by EGA can be verified using confirmatory factor analysis and a direct way to convert the EGA structure to a confirmatory factor model is also implemented. Documentation and examples are available. Golino, H. F., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H. F., & Demetriou, A. (2017) <doi:10.1016/j.intell.2017.02.007> Golino, H., Shi, D., Garrido, L. E., Christensen, A. P., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2018) <doi:10.31234/osf.io/gzcre>. Christensen, A. P. & Golino, H.F. (2019) <doi:10.31234/osf.io/9deay>.

Hudson Golino

EGAnet

Exploratory Graph Analysis - A Framework for Estimating the
Number of Dimensions in Multivariate Data Using Network
Psychometrics

Alexander Christensen

Robert Moulder

plots function

Arguments passed on to<ul>
<li><code><a rd-options='qgraph' href='qgraph'>qgraph</a></code>
Functions: bootEGA, dynEGA, dynEGA.Groups, dynEGA.Individuals, EGA, and net.loads</li>
<li><code><a rd-options='semPlot' href='semPaths'>semPaths</a></code>
Functions: CFA</li>
</ul>

Character.
Layout of plot (see <code><a rd-options='semPlot' href='semPaths'>semPaths</a></code>).
Defaults to "spring"

plots: S3Methods for Plotting

Description

Usage

Arguments

Value