quickcrit

Compute the additional contribution of a new component to the simple
 component system P on S.

multivariate

Simple Component Analysis (SCA) often provides much more
interpretable components than Principal Components (PCA) while still
representing much of the variability in the data.

Martin Maechler

Simple Component Analysis

quickcrit function

<dl> <dt>newcomp</dt>
<dd>numeric vector, typically the result of
 <code>simpvector()</code>.</dd> <dt>S</dt>
<dd>correlation/covariance matrix</dd> <dt>P</dt>
<dd>component matrix</dd> <dt>criterion</dt>
<dd>character string specifying the optimality criterion,
 see <code>sccrit</code> for details.</dd></dl>

Arguments

Additional Contribution of New Component to the SC System — quickcrit

<dl>

 <dt>newcomp</dt>
<dd>numeric vector, typically the result of
 <code>simpvector()</code>.</dd>

 <dt>S</dt>
<dd>correlation/covariance matrix</dd>

 <dt>P</dt>
<dd>component matrix</dd>

 <dt>criterion</dt>
<dd>character string specifying the optimality criterion,
 see <code>sccrit</code> for details.</dd>

</dl>

quickcrit: Additional Contribution of New Component to the SC System

Description

Usage

Value

Arguments

See Also