rescale_zscore

Calculate z-score for all columns in a dataset using train set central tendency and spread

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

rescale_zscore function

<dl><dt>data</dt>
<dd><code>data.frame</code> containing data to normalise</dd>
<dt>rescalers</dt>
<dd><code>list</code> containing central tendency and spread values for the train set</dd></dl>

Arguments

Author

Calculate z-score for all columns in a dataset using train set central tendency and spread — rescale_zscore

<dl>

<dt>data</dt>
<dd><code>data.frame</code> containing data to normalise</dd>


<dt>rescalers</dt>
<dd><code>list</code> containing central tendency and spread values for the train set</dd>

</dl>

rescale_zscore: Calculate z-score for all columns in a dataset using train set central tendency and spread

Description

Usage

Value

Arguments

Author