plot_se

<code>plot_se</code> represents the spectral envelope of
a categorical time series

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

plot_se function

<dl><dt>series</dt>
<dd>An object of type <code>tsibble</code> (see R package <code>tsibble</code>), whose column named Value
contains the values of the corresponding CTS. This column must be of class <code>factor</code> and its levels
must be determined by the range of the CTS.</dd></dl>

Arguments

Ángel López-Oriona, José A. Vilar

Author

Represents the spectral envelope of a categorical time series — plot_se

<dl>

<dt>series</dt>
<dd>An object of type <code>tsibble</code> (see R package <code>tsibble</code>), whose column named Value
contains the values of the corresponding CTS. This column must be of class <code>factor</code> and its levels
must be determined by the range of the CTS.</dd>

</dl>

plot_se: Represents the spectral envelope of a categorical time series

Description

Usage

Value

Arguments

Author

Details

References

Examples