plot_pca_mfd

Plot the harmonics of a <code>pca_mfd</code> object

Provides functional control charts
for statistical process monitoring of functional data,
using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>,
Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>,
Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>,
Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>,
Centofanti et al. (2022) <doi:10.48550/arXiv.2205.06256>.
The package is thoroughly illustrated in the paper of
Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.

Christian Capezza

funcharts

Functional Control Charts

Fabio Centofanti

Antonio Lepore

Biagio Palumbo

Alessandra Menafoglio

Simone Vantini

plot_pca_mfd function

<dl><dt>pca</dt>
<dd>A fitted multivariate functional principal component analysis
(MFPCA) object of class <code>pca_mfd</code>.</dd>
<dt>harm</dt>
<dd>A vector of integers with the harmonics to plot.
If 0, all harmonics are plotted. Default is 0.</dd>
<dt>scaled</dt>
<dd>If TRUE, eigenfunctions are multiplied by the square root of the
corresponding eigenvalues, if FALSE the are not scaled and the
all have unit norm.
Default is FALSE</dd></dl>

Arguments

Plot the harmonics of a pca_mfd object — plot_pca_mfd

<dl>

<dt>pca</dt>
<dd>A fitted multivariate functional principal component analysis
(MFPCA) object of class <code>pca_mfd</code>.</dd>


<dt>harm</dt>
<dd>A vector of integers with the harmonics to plot.
If 0, all harmonics are plotted. Default is 0.</dd>


<dt>scaled</dt>
<dd>If TRUE, eigenfunctions are multiplied by the square root of the
corresponding eigenvalues, if FALSE the are not scaled and the
all have unit norm.
Default is FALSE</dd>

</dl>

plot_pca_mfd: Plot the harmonics of a `pca_mfd` object

Description

Usage

Value

Arguments

Examples