ots_plot

<code>ots_plot</code> constructs an ordinal time series plot

An implementation of several functions for feature extraction in
ordinal time series datasets. Specifically, some of the features proposed by
Weiss (2019) <doi:10.1080/01621459.2019.1604370> can be computed.
These features can be used to perform inferential tasks or to feed machine
learning algorithms for ordinal time series, among others. The package also includes some
interesting datasets containing financial time series. Practitioners from a
broad variety of fields could benefit from the general framework provided
by 'otsfeatures'.

Angel Lopez-Oriona

otsfeatures

Ordinal Time Series Analysis

Jose A. Vilar

ots_plot function

<dl><dt>series</dt>
<dd>An OTS.</dd>
<dt>states</dt>
<dd>A numerical vector containing the corresponding
states.</dd>
<dt>title</dt>
<dd>The title of the graph.</dd>
<dt>labels</dt>
<dd>The labels of the graph.</dd></dl>

Arguments

Ángel López-Oriona, José A. Vilar

Author

Constructs an ordinal time series plot — ots_plot

<dl>

<dt>series</dt>
<dd>An OTS.</dd>


<dt>states</dt>
<dd>A numerical vector containing the corresponding
states.</dd>


<dt>title</dt>
<dd>The title of the graph.</dd>


<dt>labels</dt>
<dd>The labels of the graph.</dd>

</dl>

ots_plot: Constructs an ordinal time series plot

Description

Usage

Value

Arguments

Author

Details

References

Examples