pca_components

Evaluates the given pca components as a function.

Analyze functional data and its change points. Includes
functionality to store and process data, summarize and validate assumptions,
characterize and perform inference of change points, and provide
visualizations. Data is stored as discretely collected observations without
requiring the selection of basis functions. For more details see chapter 8
of Horvath and Rice (2024) <doi:10.1007/978-3-031-51609-2>. Additional papers
are forthcoming. Focused works are also included in the documentation of
corresponding functions.

Jeremy VanderDoes

fChange

Functional Change Point Detection and Analysis

Gregory Rice

Martin Wendler

pca_components function

<dl><dt>pca</dt>
<dd>PCA object from <code>pca()</code></dd>
<dt>components</dt>
<dd>Numeric for the components of interest. Can be a single
numeric to examine that component or multiple to examine the combined result</dd></dl>

Arguments

Functional PCA Components — pca_components

<dl>

<dt>pca</dt>
<dd>PCA object from <code>pca()</code></dd>


<dt>components</dt>
<dd>Numeric for the components of interest. Can be a single
numeric to examine that component or multiple to examine the combined result</dd>

</dl>

pca_components: Functional PCA Components

Description

Usage

Value

Arguments

Examples