toy_warp

<p>A functional dataset where the individual functions are given by a Gaussian
peak with locations along the \(x\)-axis. The variables are as follows: f
containing the 29 functions of 101 samples and time which describes the
sampling which as been aligned.</p>

datasets

Performs alignment, PCA, and modeling of multidimensional and
unidimensional functions using the square-root velocity framework
(Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014
<DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic
analysis of functional data through phase and amplitude separation.

J Derek Tucker

fdasrvf

Elastic Functional Data Analysis

J. Derek Tucker

Aymeric Stamm

toy_warp function


<div class="section" id="toy-warp">
<h3><code>toy_warp</code></h3><p></p><p>
</p><p>A list which contains the output of the <code>time_warping()</code> function applied on
the data set <code>toy_data</code>.</p>
</div>


Format

Aligned Distributed Gaussian Peak Dataset — toy_warp


<div class='section' id='toy-warp'>
<h3><code>toy_warp</code></h3>


<p>A list which contains the output of the <code>time_warping()</code> function applied on
the data set <code>toy_data</code>.</p>
</div>


toy_warp: Aligned Distributed Gaussian Peak Dataset

Description

Usage

Arguments

Format

`toy_warp`