DataCPSim

rlnorm_ts_1

rlnorm_ts_2

rlnorm_ts_3

Randomly-generated time series data, using the <code><a href="/link/stats%3A%3Arlnorm()?package=tidychangepoint&version=1.0.0" data-mini-rdoc="tidychangepoint::stats::rlnorm()">stats::rlnorm()</a></code> function.<ul>
<li>For <code>rlnorm_ts_1</code>, there is one changepoint located at 826.</li>
<li>For <code>rlnorm_ts_2</code>, there are two changepoints, located at 366 and 731.</li>
<li>For <code>rlnorm_ts_3</code>, there are three changepoints, located at 548, 823, and 973.</li>
</ul>

datasets

Changepoint detection algorithms for R are widespread but have
different interfaces and reporting conventions.
This makes the comparative analysis of results difficult.
We solve this problem by providing a tidy, unified interface for several
different changepoint detection algorithms.
We also provide consistent numerical and graphical reporting leveraging
the 'broom' and 'ggplot2' packages.

Ben Baumer

tidychangepoint

A Tidy Framework for Changepoint Detection Analysis

Benjamin S. Baumer

Biviana Marcela Suárez Sierra

Arrigo Coen

Carlos A. Taimal

Xueheng Shi

DataCPSim function

An object of class <code>numeric</code> of length 1096.
An object of class <code>ts</code> of length 1096.
An object of class <code>ts</code> of length 1096.
An object of class <code>ts</code> of length 1096.

Format

Randomly-generated time series data, using the <code><a href='https://rdrr.io/r/stats/Lognormal.html'>stats::rlnorm()</a></code> function.<ul>
<li>For <code>rlnorm_ts_1</code>, there is one changepoint located at 826.</li>
<li>For <code>rlnorm_ts_2</code>, there are two changepoints, located at 366 and 731.</li>
<li>For <code>rlnorm_ts_3</code>, there are three changepoints, located at 548, 823, and 973.</li>
</ul>

Simulated time series data — DataCPSim

Simulated time series data

DataCPSim: Simulated time series data

Description

Usage

Arguments

Format

Details

See Also

Examples