toy_data

<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.</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_data function


<div class="section" id="toy-data">
<h3><code>toy_data</code></h3><p></p><p>
</p><p>A list with two components:</p><ul>
<li><p><code>f</code>: A numeric matrix of shape \(101 \times 29\) storing a sample of size
\(N = 29\) of curves evaluated on a grid of size \(M = 101\).</p></li>
<li><p><code>time</code>: A numeric vector of size \(M = 101\) storing the grid on which
the curves <code>f</code> have been evaluated.</p></li>
</ul><p></p><p></p></div>


Format

Distributed Gaussian Peak Dataset — toy_data


<div class='section' id='toy-data'>
<h3><code>toy_data</code></h3>


<p>A list with two components:</p><ul>
<li><p><code>f</code>: A numeric matrix of shape \(101 \times 29\) storing a sample of size
\(N = 29\) of curves evaluated on a grid of size \(M = 101\).</p></li>
<li><p><code>time</code>: A numeric vector of size \(M = 101\) storing the grid on which
the curves <code>f</code> have been evaluated.</p></li>
</ul>

</div>


toy_data: Distributed Gaussian Peak Dataset

Description

Usage

Arguments

Format

`toy_data`