plot.feature_projection

Produce a plot for a feature_projection object

Provides a suite of functions for analysing, interpreting, and visualising
time-series features calculated from different feature sets from the 'theft' package.
Implements statistical learning methodologies described in Henderson, T.,
Bryant, A., and Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.

Trent Henderson

theftdlc

Analyse and Interpret Time Series Features

plot.feature_projection function

<dl><dt>x</dt>
<dd><code>feature_projection</code> object containing the two-dimensional embedding calculated by <code>project</code></dd>
<dt>show_covariance</dt>
<dd><code>Boolean</code> specifying whether covariance ellipses should be shown on the plot. Defaults to <code>TRUE</code></dd>
<dt>...</dt>
<dd>Arguments to be passed to methods</dd></dl>

Arguments

Author

Produce a plot for a feature_projection object — plot.feature_projection

<dl>

<dt>x</dt>
<dd><code>feature_projection</code> object containing the two-dimensional embedding calculated by <code>project</code></dd>


<dt>show_covariance</dt>
<dd><code>Boolean</code> specifying whether covariance ellipses should be shown on the plot. Defaults to <code>TRUE</code></dd>


<dt>...</dt>
<dd>Arguments to be passed to methods</dd>

</dl>

plot.feature_projection: Produce a plot for a feature_projection object

Description

Usage

Value

Arguments

Author