absmin

Given a p x k matrix <code>x</code>,
finds the orthogonal matrix (rotation) that minimizes the absmin.criteria.

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

Fan Chen

epca

Exploratory Principal Component Analysis

absmin function

<dl><dt>x</dt>
<dd>a <code>matrix</code> or <code>Matrix</code>, initial factor loadings matrix for which the rotation criterian is to be optimized.</dd>
<dt>r0</dt>
<dd><code>matrix</code>, initial rotation matrix.</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

Absmin Rotation — absmin

<dl>

<dt>x</dt>
<dd>a <code>matrix</code> or <code>Matrix</code>, initial factor loadings matrix for which the rotation criterian is to be optimized.</dd>


<dt>r0</dt>
<dd><code>matrix</code>, initial rotation matrix.</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>

absmin: Absmin Rotation

Description

Usage

Value

Arguments

See Also