randomize

<code>randomize</code> permutates independently the entries in
 each column of a matrix-like object, to produce random
 data that can be used in permutation tests or bootstrap
 analysis.

Provides a framework to perform Non-negative Matrix
Factorization (NMF). The package implements a set of already published algorithms
and seeding methods, and provides a framework to test, develop and plug
new/custom algorithms. Most of the built-in algorithms have been optimized
in C++, and the main interface function provides an easy way of performing
parallel computations on multicore machines.

Nicolas Sauwen

Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)

randomize function

<dl> <dt>x</dt>
<dd>data to be permutated. It must be an object
 suitable to be passed to the function
 <code><a href="/link/apply?package=NMF&version=0.27" data-mini-rdoc="NMF::apply">apply</a></code>.</dd>
 <dt>...</dt>
<dd>extra arguments passed to the function
 <code><a href="/link/sample?package=NMF&version=0.27" data-mini-rdoc="NMF::sample">sample</a></code>.</dd></dl>

Arguments

Randomizing Data — randomize

<dl>

 <dt>x</dt>
<dd>data to be permutated. It must be an object
 suitable to be passed to the function
 <code><a href='https://rdrr.io/r/base/apply.html'>apply</a></code>.</dd>


 <dt>...</dt>
<dd>extra arguments passed to the function
 <code><a href='https://rdrr.io/r/base/sample.html'>sample</a></code>.</dd>

</dl>

randomize: Randomizing Data

Description

Usage

Value

Arguments

Details

Examples