generate_groups

<p>names of docvars or vector that can be coerced to a factor</p>

groups

<p>Internal function to generate a grouping vector from docvars used in
dfm.corpus, dfm.tokens, dfm.group, and tokens_group</p>

internal

A fast, flexible, and comprehensive framework for
quantitative text analysis in R.  Provides functionality for corpus management,
creating and manipulating tokens and ngrams, 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 M<c3><bc>ller

Akitaka Matsuo

Jiong Wei Lua

Patrick O. Perry

Jouni Kuha

Benjamin Lauderdale

William Lowe

Christian M<c3><bc>ller

Lori Young

Stuart Soroka

Ian Fellows

European Research Council 

generate_groups function

Generate a grouping vector from docvars — generate_groups

Generate a grouping vector from docvars

generate_groups: Generate a grouping vector from docvars

Description

Usage

Arguments

Value