std_scores.svd

Computes standardized scores from an SVD result performed by <code>svd_wrapper</code>.
These scores are scaled to have approximately unit variance, assuming the original
data used for SVD was centered. They differ from the <code>s</code> component of the
<code>svd</code> object, which contains scores scaled by singular values.

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Bradley Buchsbaum

multivarious

Extensible Data Structures for Multivariate Analysis

std_scores.svd function

<dl><dt>x</dt>
<dd>An object of class <code>svd</code>, typically from <code>svd_wrapper</code>.</dd>
<dt>...</dt>
<dd>Extra arguments (ignored).</dd></dl>

Arguments

Calculate Standardized Scores for SVD results — std_scores.svd

<dl>

<dt>x</dt>
<dd>An object of class <code>svd</code>, typically from <code>svd_wrapper</code>.</dd>


<dt>...</dt>
<dd>Extra arguments (ignored).</dd>

</dl>

std_scores.svd: Calculate Standardized Scores for SVD results

Description

Usage

Value

Arguments