buildSpike

Builds spikes in the data distribution. For example, in retail industry transactions are generally higher during the holiday season such as December. This function is used to set the same.

Generates synthetic data distributions to enable testing various modelling techniques in ways that real data does not allow. Noise can be added in a controlled manner such that the data seems real. This methodology is generic and therefore benefits both the academic and industrial research.

Sidharth Macherla

conjurer

A Parametric Method for Generating Synthetic Data

buildSpike function

<dl><dt>distr</dt>
<dd>numeric vector. This is the input vector for which the spike value needs to be set.</dd>
<dt>spike</dt>
<dd>A number. This represents the seasonality of data. It can take any value from 1 to 12. These numbers represent months in a year, from January to December respectively. For example, if the spike is set to 12, it means that December has the highest number of transactions. This is an internal function and is currently not exported in the package.</dd></dl>

Arguments

Build Spikes in the Data Distribution — buildSpike

<dl>

<dt>distr</dt>
<dd>numeric vector. This is the input vector for which the spike value needs to be set.</dd>


<dt>spike</dt>
<dd>A number. This represents the seasonality of data. It can take any value from 1 to 12. These numbers represent months in a year, from January to December respectively. For example, if the spike is set to 12, it means that December has the highest number of transactions. This is an internal function and is currently not exported in the package.</dd>

</dl>

buildSpike: Build Spikes in the Data Distribution

Description

Usage

Value

Arguments