standardize

center and scale each vector of a matrix

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

standardize function

<dl><dt>preproc</dt>
<dd>the pre-processing pipeline</dd>
<dt>cmeans</dt>
<dd>an optional vector of column means</dd>
<dt>sds</dt>
<dd>an optional vector of sds</dd></dl>

Arguments

center and scale each vector of a matrix — standardize

<dl>

<dt>preproc</dt>
<dd>the pre-processing pipeline</dd>


<dt>cmeans</dt>
<dd>an optional vector of column means</dd>


<dt>sds</dt>
<dd>an optional vector of sds</dd>

</dl>

standardize: center and scale each vector of a matrix

Description

Usage

Value

Arguments