latrendData

Synthetic longitudinal dataset comprising three classes

datasets

A framework for clustering longitudinal datasets in a standardized way. Provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.

Niek Den Teuling

latrend

A Framework for Clustering Longitudinal Data

Steffen Pauws

Edwin van den Heuvel

Copyright <c2><a9> 2021 Koninklijke Philips N.V.

latrendData function

A <code>data.frame</code> describing 200 trajectories originating from one of three classes,
each with a different cluster trajectory. Trajectories randomly deviate in intercept and slope from the reference cluster.<dl class="dl-horizontal">
<dt>Id</dt><dd>trajectory identifier, <code>integer</code>.</dd>
<dt>Time</dt><dd>measurement time, <code>numeric</code> between 0 and 2.</dd>
<dt>Y</dt><dd>observed variable, <code>numeric</code>.</dd>
<dt>Class</dt><dd>the reference class, <code>factor</code>.</dd>
</dl>

Format

Synthetic longitudinal dataset comprising three classes — latrendData

A <code>data.frame</code> describing 200 trajectories originating from one of three classes,
each with a different cluster trajectory. Trajectories randomly deviate in intercept and slope from the reference cluster.<dl class='dl-horizontal'>
<dt>Id</dt><dd>trajectory identifier, <code>integer</code>.</dd>
<dt>Time</dt><dd>measurement time, <code>numeric</code> between 0 and 2.</dd>
<dt>Y</dt><dd>observed variable, <code>numeric</code>.</dd>
<dt>Class</dt><dd>the reference class, <code>factor</code>.</dd>
</dl>

latrendData: Synthetic longitudinal dataset comprising three classes

Description

Usage

Arguments

Format

See Also