sequence_indices

Compute Sequence Indices for Sequence Data

Performs analysis of complex dynamic systems with a focus on the
temporal unfolding of patterns, changes, and state transitions in
behavioral data. Supports both time series and sequence data
and provides tools for the analysis and visualization of complexity,
pattern identification, trends, regimes, sequence typology as well as
early warning signals.

Santtu Tikka

codyna

Complex Dynamic Systems

Mohammed Saqr

sequence_indices function

<dl><dt>data</dt>
<dd>[<code>data.frame</code>, <code>matrix</code>, <code>stslist</code>] 
Sequence data in wide format (rows are sequences, columns are time points).</dd>
<dt>cols</dt>
<dd>[<code>expression</code>] A tidy selection of columns that should
be considered as sequence data. By default, all columns are used.</dd>
<dt>favorable</dt>
<dd>[<code><a href="/link/character()?package=codyna&version=0.1.0" data-mini-rdoc="codyna::character()">character()</a></code>] Names of states that should be
considered as favorable states.</dd>
<dt>omega</dt>
<dd>[<code>numeric(1)</code>] Omega parameter value used to compute
the integrative potential.</dd></dl>

Arguments

Compute Sequence Indices for Sequence Data — sequence_indices

<dl>

<dt>data</dt>
<dd>[<code>data.frame</code>, <code>matrix</code>, <code>stslist</code>] 
Sequence data in wide format (rows are sequences, columns are time points).</dd>


<dt>cols</dt>
<dd>[<code>expression</code>] A tidy selection of columns that should
be considered as sequence data. By default, all columns are used.</dd>


<dt>favorable</dt>
<dd>[<code><a href='https://rdrr.io/r/base/character.html'>character()</a></code>] Names of states that should be
considered as favorable states.</dd>


<dt>omega</dt>
<dd>[<code>numeric(1)</code>] Omega parameter value used to compute
the integrative potential.</dd>

</dl>

sequence_indices: Compute Sequence Indices for Sequence Data

Description

Usage

Value

Arguments

Examples