resample_data

Helper function to create a resampled dataset

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

resample_data function

<dl><dt>data</dt>
<dd><code>data.frame</code> containing time-series features</dd>
<dt>train_rows</dt>
<dd><code>integer</code> denoting the number of cases in the train set</dd>
<dt>test_rows</dt>
<dd><code>integer</code> denoting the number of cases in the test set</dd>
<dt>train_groups</dt>
<dd><code>data.frame</code> containing proportions of each class in original train split</dd>
<dt>test_groups</dt>
<dd><code>data.frame</code> containing proportions of each class in original test split</dd>
<dt>seed</dt>
<dd><code>integer</code> denoting fixed value for R's pseudorandom number generator</dd></dl>

Arguments

Author

Helper function to create a resampled dataset — resample_data

<dl>

<dt>data</dt>
<dd><code>data.frame</code> containing time-series features</dd>


<dt>train_rows</dt>
<dd><code>integer</code> denoting the number of cases in the train set</dd>


<dt>test_rows</dt>
<dd><code>integer</code> denoting the number of cases in the test set</dd>


<dt>train_groups</dt>
<dd><code>data.frame</code> containing proportions of each class in original train split</dd>


<dt>test_groups</dt>
<dd><code>data.frame</code> containing proportions of each class in original test split</dd>


<dt>seed</dt>
<dd><code>integer</code> denoting fixed value for R's pseudorandom number generator</dd>

</dl>

resample_data: Helper function to create a resampled dataset

Description

Usage

Value

Arguments

Author