pca.getB

Low-dimensional approximation of data matrix X

Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.

Sergey Kucheryavskiy

mdatools

Multivariate Data Analysis for Chemometrics

pca.getB function

<dl><dt>X</dt>
<dd>data matrix</dd>
<dt>k</dt>
<dd>rank of X (number of components)</dd>
<dt>rand</dt>
<dd>a vector with two values - number of iterations (q) and oversmapling parameter (p)</dd>
<dt>dist</dt>
<dd>distribution for generating random numbers, 'unif' or 'norm'</dd></dl>

Arguments

Low-dimensional approximation of data matrix X — pca.getB

<dl>

<dt>X</dt>
<dd>data matrix</dd>


<dt>k</dt>
<dd>rank of X (number of components)</dd>


<dt>rand</dt>
<dd>a vector with two values - number of iterations (q) and oversmapling parameter (p)</dd>


<dt>dist</dt>
<dd>distribution for generating random numbers, 'unif' or 'norm'</dd>

</dl>

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pca.getB: Low-dimensional approximation of data matrix X

Description

Usage

Arguments