format_sparsity

Inputs a dfm sparsity value from <code>sparsity()</code> and formats it for
printing in <code>print.dfm()</code>.

internal

A fast, flexible, and comprehensive framework for
quantitative text analysis in R.  Provides functionality for corpus management,
creating and manipulating tokens and n-grams, exploring keywords in context,
forming and manipulating sparse matrices
of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and
distances, applying content dictionaries, applying supervised and unsupervised machine learning,
visually representing text and text analyses, and more.

Kenneth Benoit

quanteda

Quantitative Analysis of Textual Data

Kohei Watanabe

Haiyan Wang

Paul Nulty

Adam Obeng

Stefan Müller

Akitaka Matsuo

William Lowe

Christian Müller

Olivier Delmarcelle

European Research Council 

format_sparsity function

<dl><dt>x</dt>
<dd>input sparsity value, ranging from 0 to 1.0</dd></dl>

Arguments

format a sparsity value for printing — format_sparsity

<dl>

<dt>x</dt>
<dd>input sparsity value, ranging from 0 to 1.0</dd>

</dl>

format a sparsity value for printing

format_sparsity: format a sparsity value for printing

Description

Usage

Arguments

Examples