textstat_proxy-class

textstat_dist-class

textstat_dist_symm-class

textstat_simil-class

textstat_simil_symm-class

textstat_simil_sparse-class

textstat_simil_symm_sparse-class

validate_min_simil

show,textstat_proxy-method

Sparse classes for similarity and distance matrices created by
<code>textstat_simil()</code> and <code>textstat_dist()</code>.
Sparse classes for similarity and distance matrices created by
<code>textstat_simil()</code> and
<code>textstat_dist()</code>.
Print/show method for objects created by <code>textstat_simil</code> and
<code>textstat_dist</code>.

internal

textstat

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 

textstat_proxy-class function

<dl><dt>object</dt>
<dd>the textstat_proxy object to be printed</dd></dl>

Arguments

<dl>
<dt><code>.Data</code></dt>
<dd>a sparse Matrix object, symmetric if selection is
<code>NULL</code></dd></dl>
<dt><code>method</code></dt>
<dd>the method used for computing similarity or distance</dd>
<dt><code>min_simil</code></dt>
<dd>numeric; a threshold for the similarity values below which similarity
values are not computed</dd>
<dt><code>margin</code></dt>
<dd>identifies the margin of the dfm on which similarity or
difference was computed: <code>"documents"</code> for documents or
<code>"features"</code> for word/term features.</dd>
<dt><code>type</code></dt>
<dd>either <code>"textstat_simil"</code> or <code>"textstat_dist"</code></dd>
<dt><code>selection</code></dt>
<dd>target units, if any</dd>

Slots

textstat_simil/dist classes — textstat_proxy-class

<dl>

<dt>object</dt>
<dd>the textstat_proxy object to be printed</dd>

</dl>

<dl>
<dt><code>.Data</code></dt>
<dd>a sparse Matrix object, symmetric if selection is
<code>NULL</code></dd>


<dt><code>method</code></dt>
<dd>the method used for computing similarity or distance</dd>


<dt><code>min_simil</code></dt>
<dd>numeric; a threshold for the similarity values below which similarity
values are not computed</dd>


<dt><code>margin</code></dt>
<dd>identifies the margin of the dfm on which similarity or
difference was computed: <code>"documents"</code> for documents or
<code>"features"</code> for word/term features.</dd>


<dt><code>type</code></dt>
<dd>either <code>"textstat_simil"</code> or <code>"textstat_dist"</code></dd>


<dt><code>selection</code></dt>
<dd>target units, if any</dd>


</dl>

textstat_simil/dist classes

textstat_proxy-class: textstat_simil/dist classes

Description

Usage

Arguments

Slots

See Also