unique_variable

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

unique_variable 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>n</dt>
<dd>the number of cases (subjects, participants, or units) if a covariance matrix is supplied in <code>.data</code>.</dd>
<dt>...</dt>
<dd>further arguments for <code>cov_nest()</code>.</dd></dl>

Arguments

P.-O. Caron (R)
André Achim (Matlab)

Author

Probability of unique variables — unique_variable

<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>n</dt>
<dd>the number of cases (subjects, participants, or units) if a covariance matrix is supplied in <code>.data</code>.</dd>


<dt>...</dt>
<dd>further arguments for <code>cov_nest()</code>.</dd>

</dl>

unique_variable: Probability of unique variables

Description

Usage

Value

Arguments

Author

Examples