print.faMain

(Object of class faMain) The returned object 
from a call to faMain.

Additional arguments affecting the summary produced.

&#8230;

(Integer) Print output with user-specified number of significant digits. Default <code>digits = 2</code>.

digits

<ul>
<li>integer (Integer) Summarize the solution from the specified solution set.</li>
<li>'UnSpun' (Character) Summarize the solution from the rotated output that was 
 produced by rotating from the unrotated (i.e., unspun) factor orientation.</li>
</ul>

(Logical) If TRUE, sort the order of the observed variables to produce
a "staircase"-like pattern. In bifactor models (i.e., bifactorT and bifactorQ) item 
sorting is determined by the magnitudes of the group factor loadings.
Defaults to <code>itemSort</code> = FALSE.

itemSort

Print Method for an Object of Class faMain

Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications:
Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>.
Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights.
Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>.
Waller, N. G. (2016). Fungible Correlation Matrices:
A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for
Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>.
Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF)
covariance matrix of standardized regression coefficients: theoretical extensions
and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>.
Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.

Niels G Waller

fungible

Psychometric Functions from the Waller Lab

Niels Waller

Jeff Jones

Casey Giordano

print.faMain function

<dl><dt>x</dt>
<dd>(Object of class faMain) The returned object 
from a call to faMain.</dd>
<dt>...</dt>
<dd>Additional arguments affecting the summary produced.</dd>
<dt>digits</dt>
<dd>(Integer) Print output with user-specified number of significant digits. Default <code>digits = 2</code>.</dd>
<dt>Set</dt>
<dd><ul>
<li>integer (Integer) Summarize the solution from the specified solution set.</li>
<li>'UnSpun' (Character) Summarize the solution from the rotated output that was 
 produced by rotating from the unrotated (i.e., unspun) factor orientation.</li>
</ul></dd>
<dt>itemSort</dt>
<dd>(Logical) If TRUE, sort the order of the observed variables to produce
a "staircase"-like pattern. In bifactor models (i.e., bifactorT and bifactorQ) item 
sorting is determined by the magnitudes of the group factor loadings.
Defaults to <code>itemSort</code> = FALSE.</dd></dl>

Arguments

Print  Method for an Object of Class faMain — print.faMain

<dl>

<dt>x</dt>
<dd>(Object of class faMain) The returned object 
from a call to faMain.</dd>


<dt>...</dt>
<dd>Additional arguments affecting the summary produced.</dd>


<dt>digits</dt>
<dd>(Integer) Print output with user-specified number of significant digits. Default <code>digits = 2</code>.</dd>


<dt>Set</dt>
<dd><ul>
<li>integer (Integer) Summarize the solution from the specified solution set.</li>
<li>'UnSpun' (Character) Summarize the solution from the rotated output that was 
 produced by rotating from the unrotated (i.e., unspun) factor orientation.</li>
</ul></dd>


<dt>itemSort</dt>
<dd>(Logical) If TRUE, sort the order of the observed variables to produce
a "staircase"-like pattern. In bifactor models (i.e., bifactorT and bifactorQ) item 
sorting is determined by the magnitudes of the group factor loadings.
Defaults to <code>itemSort</code> = FALSE.</dd>

</dl>

print.faMain: Print Method for an Object of Class faMain

Description

Usage

Arguments

See Also