plot.mfd

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:10.1080/00224065.2024.2383674>,
Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>,
Centofanti et al. (2025) <doi:10.1080/00224065.2024.2430978>,
Capezza et al. (2025) <doi:10.48550/arXiv.2410.20138>.
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

Davide Forcina

Antonio Lepore

Biagio Palumbo

Alessandra Menafoglio

Simone Vantini

plot.mfd function

<dl><dt>x</dt>
<dd>An <code>mfd</code> object.</dd>
<dt>y</dt>
<dd>Ignored.</dd>
<dt>add</dt>
<dd>Logical; if TRUE, add curves to an existing <code>mfd</code> plot
(using <code>matlines</code>) instead of creating a new one.</dd>
<dt>common_ylim</dt>
<dd>Logical; if TRUE, all panels share the same y-limits,
otherwise each panel adapts its own scale.</dd>
<dt>...</dt>
<dd>Graphical arguments passed to <code>matplot</code> (if
<code>add=FALSE</code>) or to <code>matlines</code> (if <code>add=TRUE</code>).</dd></dl>

Arguments

Plot multivariate functional data — plot.mfd

<dl>

<dt>x</dt>
<dd>An <code>mfd</code> object.</dd>


<dt>y</dt>
<dd>Ignored.</dd>


<dt>add</dt>
<dd>Logical; if TRUE, add curves to an existing <code>mfd</code> plot
(using <code>matlines</code>) instead of creating a new one.</dd>


<dt>common_ylim</dt>
<dd>Logical; if TRUE, all panels share the same y-limits,
otherwise each panel adapts its own scale.</dd>


<dt>...</dt>
<dd>Graphical arguments passed to <code>matplot</code> (if
<code>add=FALSE</code>) or to <code>matlines</code> (if <code>add=TRUE</code>).</dd>

</dl>

Plot multivariate functional data

plot.mfd: Plot multivariate functional data

Description

Usage

Arguments