colscale

normalize each column by a scale factor.

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

colscale function

<dl><dt>preproc</dt>
<dd>the pre-processing pipeline</dd>
<dt>type</dt>
<dd>the kind of scaling, <code>unit</code> norm, <code>z</code>-scoring, or precomputed <code>weights</code></dd>
<dt>weights</dt>
<dd>optional precomputed weights</dd></dl>

Arguments

scale a data matrix — colscale

<dl>

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


<dt>type</dt>
<dd>the kind of scaling, <code>unit</code> norm, <code>z</code>-scoring, or precomputed <code>weights</code></dd>


<dt>weights</dt>
<dd>optional precomputed weights</dd>

</dl>

colscale: scale a data matrix

Description

Usage

Value

Arguments