groups

either: a character vector containing the names of document 
variables to be used for grouping; or a factor or object that can be 
coerced into a factor equal in length or rows to the number of documents. 
See <a rd-options="" href="/link/groups?package=quanteda&version=0.99.12" data-mini-rdoc="quanteda::groups">groups</a> for details.

Groups for aggregation by various functions that take grouping options. 
Groups can be the name(s) of document variables (as a character vector), or
variables whose length or number of rows (if a data.frame) equal the number
of documents.

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

Paul Nulty

Adam Obeng

Haiyan Wang

Benjamin Lauderdale

Will Lowe

groups function

either: a character vector containing the names of document 
variables to be used for grouping; or a factor or object that can be 
coerced into a factor equal in length or rows to the number of documents. 
See <a rd-options='' href='groups'>groups</a> for details.

groups: grouping variable(s) for various functions

Description

Arguments