remove_unique

Determine the number of dimensions to retain in exploratory factor analysis. The main function, nest(), returns the solution and the plot(nest()) returns a plot.

P.-O. Caron

Rnest

Next Eigenvalue Sufficiency Test

remove_unique function

<dl><dt>.data</dt>
<dd>a data frame, a numeric matrix, covariance matrix or correlation matrix from which to determine the number of factors.</dd>
<dt>...</dt>
<dd>further arguments for <code>unique_variable()</code> and <code>cor_nest()</code>.</dd>
<dt>alpha</dt>
<dd>type I error rate.</dd></dl>

Arguments

Remove unique variables — remove_unique

<dl>

<dt>.data</dt>
<dd>a data frame, a numeric matrix, covariance matrix or correlation matrix from which to determine the number of factors.</dd>


<dt>...</dt>
<dd>further arguments for <code>unique_variable()</code> and <code>cor_nest()</code>.</dd>


<dt>alpha</dt>
<dd>type I error rate.</dd>

</dl>

remove_unique: Remove unique variables

Description

Usage

Value

Arguments

Examples