compute_msttr

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

internal

textstat

lexdiv

Textual statistics functions formerly in the 'quanteda' package.
Textual statistics for characterizing and comparing textual data. Includes
functions for measuring term and document frequency, the co-occurrence of
words, similarity and distance between features and documents, feature entropy,
keyword occurrence, readability, and lexical diversity.  These functions
extend the 'quanteda' package and are specially designed for sparse textual data.

Kenneth Benoit

quanteda.textstats

Textual Statistics for the Quantitative Analysis of Textual Data

Kohei Watanabe

Haiyan Wang

Jiong Wei Lua

Jouni Kuha

European Research Council 

compute_msttr function

<dl><dt>x</dt>
<dd>input tokens</dd>
<dt>MSTTR_segment</dt>
<dd>a numeric value defining the size of the each segment
for the computation of the the Mean Segmental Type-Token Ratio (Johnson, 1944)</dd></dl>

Arguments

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

<dl>

<dt>x</dt>
<dd>input tokens</dd>


<dt>MSTTR_segment</dt>
<dd>a numeric value defining the size of the each segment
for the computation of the the Mean Segmental Type-Token Ratio (Johnson, 1944)</dd>

</dl>

Compute the Mean Segmental Type-Token Ratio (MSTTR)

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

Description

Usage

Arguments