SCREE_PLOT

Produces a scree plot of eigenvalues for raw data or for a correlation matrix.

Functions for eleven procedures for determining the number of
factors, including functions for parallel analysis and the minimum average partial
test. There are also functions for conducting principal components analysis, principal
axis factor analysis, maximum likelihood factor analysis, image factor analysis,
and extension factor analysis, all of which can take raw data or correlation matrices
as input and with options for conducting the analyses using Pearson correlations,
Kendall correlations, Spearman correlations, gamma correlations, or polychoric
correlations. Varimax rotation, promax rotation, and Procrustes rotations can be
performed. Additional functions focus on the factorability of a correlation matrix,
the congruences between factors from different datasets, the assessment of local
independence, the assessment of factor solution complexity, and internal consistency.
Auerswald & Moshagen (2019, ISSN:1939-1463);
Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2);
Mulaik (2010, ISBN:978-1-4200-9981-2);
O'Connor (2000, <doi:10.3758/bf03200807>);
O'Connor (2001, ISSN:0146-6216).

Brian O'Connor

EFA.dimensions

Exploratory Factor Analysis Functions for Assessing
Dimensionality

SCREE_PLOT function

<dl> <dt>data</dt>
<dd><code></code>An all-numeric dataframe where the rows are cases &amp; the columns are 
 the variables, or a correlation matrix with ones on the diagonal.The function 
 internally determines whether the data are a correlation matrix.</dd>
 <dt>corkind</dt>
<dd><code></code>The kind of correlation matrix to be used if data is not a correlation matrix. 
 The options are 'pearson', 'kendall', 'spearman', 'gamma', and 'polychoric'. Required 
 only if the entered data is not a correlation matrix.</dd>
<dt>Ncases</dt>
<dd><code></code>The number of cases for a correlation matrix. Required 
 only if the entered data is a correlation matrix.</dd> 
 <dt>verbose</dt>
<dd><code></code>Should detailed results be displayed in console? TRUE (default) or FALSE</dd></dl>

Arguments

Author

Scree plot of eigenvalues — SCREE_PLOT

<dl>

 <dt>data</dt>
<dd><code></code>An all-numeric dataframe where the rows are cases &amp; the columns are 
 the variables, or a correlation matrix with ones on the diagonal.The function 
 internally determines whether the data are a correlation matrix.</dd>


 <dt>corkind</dt>
<dd><code></code>The kind of correlation matrix to be used if data is not a correlation matrix. 
 The options are 'pearson', 'kendall', 'spearman', 'gamma', and 'polychoric'. Required 
 only if the entered data is not a correlation matrix.</dd>


<dt>Ncases</dt>
<dd><code></code>The number of cases for a correlation matrix. Required 
 only if the entered data is a correlation matrix.</dd>

 
 <dt>verbose</dt>
<dd><code></code>Should detailed results be displayed in console? TRUE (default) or FALSE</dd>

</dl>

SCREE_PLOT: Scree plot of eigenvalues

Description

Usage

Value

Arguments

Author

Examples