compute_msttr

input <a rd-options="" href="/link/tokens?package=quanteda&version=1.5.2" data-mini-rdoc="quanteda::tokens">tokens</a>

segment_size

Compute the Mean Segmental Type-Token Ratio (Johnson 1944) for a tokens input.

internal

textstat

lexdiv

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 

compute_msttr function

input <a rd-options='' href='tokens'>tokens</a>

Compute the Mean Segmental Type-Token Ratio (MSTTR) — compute_msttr

Compute the Mean Segmental Type-Token Ratio (MSTTR)

compute_msttr: Compute the Mean Segmental Type-Token Ratio (MSTTR)

Description

Usage

Arguments