plotPOFD

Plot the sample of partially observed curves and the proportion of observed functions.

Integrated Functional Depth for Partially Observed Functional Data and applications to visualization, outlier detection and classification. It implements the methods proposed in: Elías, A., Jiménez, R., Paganoni, A. M. and Sangalli, L. M., (2023), "Integrated Depth for Partially Observed Functional Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2022.2070171>. Elías, A., Jiménez, R., & Shang, H. L. (2023), "Depth-based reconstruction method for incomplete functional data", Computational Statistics, <doi:10.1007/s00180-022-01282-9>. Elías, A., Nagy, S. (2024), "Statistical properties of partially observed integrated functional depths", TEST, <doi:10.1007/s11749-024-00954-6>.

Antonio El<c3><ad>as

fdaPOIFD

Partially Observed Integrated Functional Depth

Antonio Elías

Raúl Jiménez

Anna M. Paganoni

Laura M. Sangalli

Stanislav Nagy

Maximiliam Ofner

plotPOFD function

<dl><dt>data</dt>
<dd>matrix p by n, being n the number of functions and p the number of grid points.</dd></dl>

Arguments

Plot Partially Observed Functional Data — plotPOFD

<dl>

<dt>data</dt>
<dd>matrix p by n, being n the number of functions and p the number of grid points.</dd>

</dl>

plotPOFD: Plot Partially Observed Functional Data

Description

Usage

Value

Arguments

Examples