varimax

This is a re-implementation of <a href="/link/stats%3A%3Avarimax?package=epca&version=1.1.0" data-mini-rdoc="epca::stats::varimax">stats::varimax</a>,
which (1) adds a parameter for the maximum number of iterations,
(2) sets the default <code>normalize</code> parameter to <code>FALSE</code>,
(3) outputs the number of iteration taken, and
(4) returns regular <code>matrix</code> rather than in <code>loadings</code> class.

Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.

Fan Chen

epca

Exploratory Principal Component Analysis

varimax function

<dl><dt>x</dt>
<dd>A loadings matrix, with \(p\) rows and \(k &lt; p\) columns</dd>
<dt>normalize</dt>
<dd>logical. Should Kaiser normalization be performed?
 If so the rows of <code>x</code> are re-scaled to unit length before
 rotation, and scaled back afterwards.</dd>
<dt>eps</dt>
<dd>The tolerance for stopping: the relative change in the sum
 of singular values.</dd>
<dt>maxit</dt>
<dd><code>integer</code>, maximum number of iteration (default to 1,000).</dd></dl>

Arguments

This is a re-implementation of <a href='https://rdrr.io/r/stats/varimax.html'>stats::varimax</a>,
which (1) adds a parameter for the maximum number of iterations,
(2) sets the default <code>normalize</code> parameter to <code>FALSE</code>,
(3) outputs the number of iteration taken, and
(4) returns regular <code>matrix</code> rather than in <code>loadings</code> class.

Varimax Rotation — varimax

<dl>

<dt>x</dt>
<dd>A loadings matrix, with \(p\) rows and \(k &lt; p\) columns</dd>


<dt>normalize</dt>
<dd>logical. Should Kaiser normalization be performed?
 If so the rows of <code>x</code> are re-scaled to unit length before
 rotation, and scaled back afterwards.</dd>


<dt>eps</dt>
<dd>The tolerance for stopping: the relative change in the sum
 of singular values.</dd>


<dt>maxit</dt>
<dd><code>integer</code>, maximum number of iteration (default to 1,000).</dd>

</dl>

varimax: Varimax Rotation

Description

Usage

Value

Arguments

See Also