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)

Renaud Gaujoux

Cathal Seoighe

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=0.28" 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=0.28" 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