GeneticSequences

Categorical time series (CTS) of DNA sequences from different
viruses

datasets

An implementation of several functions for feature extraction in
categorical time series datasets. Specifically, some features related to
marginal distributions and serial dependence patterns can be computed. These
features can be used to feed clustering and classification algorithms for
categorical time series, among others. The package also includes some
interesting datasets containing biological sequences. Practitioners from a
broad variety of fields could benefit from the general framework provided
by 'ctsfeatures'.

Angel Lopez-Oriona

ctsfeatures

Analyzing Categorical Time Series

Jose A. Vilar

GeneticSequences function

A <code>tsibble</code> with four columns, which are:<dl>
<dt><code>Value</code></dt>
<dd>The categorical values of the time series in the dataset.</dd><dt><code>Series</code></dt>
<dd>Integer values indicating the considered time series (there are 32 time series in the dataset).</dd><dt><code>Time</code></dt>
<dd>Integer values indicating the temporal indexes of the observations.</dd><dt><code>Class</code></dt>
<dd>Integer values indicating the class of each time series.</dd>
</dl>

Format

GeneticSequences — GeneticSequences

A <code>tsibble</code> with four columns, which are:<dl>
<dt><code>Value</code></dt>
<dd>The categorical values of the time series in the dataset.</dd>

<dt><code>Series</code></dt>
<dd>Integer values indicating the considered time series (there are 32 time series in the dataset).</dd>

<dt><code>Time</code></dt>
<dd>Integer values indicating the temporal indexes of the observations.</dd>

<dt><code>Class</code></dt>
<dd>Integer values indicating the class of each time series.</dd>


</dl>

GeneticSequences: GeneticSequences

Description

Usage

Arguments

Format

Details

References