Object-Oriented Software for Functional Data
Dublin Core
Title
Object-Oriented Software for Functional Data
Subject
functional data analysis, functional principal component analysis, multivariate
functional data, object orientation, simulation
functional data, object orientation, simulation
Description
This paper introduces the funData R package as an object-oriented implementation of
functional data. It implements a unified framework for dense univariate and multivariate
functional data on one- and higher dimensional domains as well as for irregular functional
data. The aim of this package is to provide a user-friendly, self-contained core toolbox for
functional data, including important functionalities for creating, accessing and modifying
functional data objects, that can serve as a basis for other packages. The package further
contains a full simulation toolbox, which is a useful feature when implementing and testing
new methodological developments.
Based on the theory of object-oriented data analysis, it is shown why it is natural
to implement functional data in an object-oriented manner. The classes and methods
provided by funData are illustrated in many examples using two freely available datasets.
The MFPCA package, which implements multivariate functional principal component
analysis, is presented as an example for an advanced methodological package that uses
the funData package as a basis, including a case study with real data. Both packages are
publicly available on GitHub and the Comprehensive R Archive Network.
functional data. It implements a unified framework for dense univariate and multivariate
functional data on one- and higher dimensional domains as well as for irregular functional
data. The aim of this package is to provide a user-friendly, self-contained core toolbox for
functional data, including important functionalities for creating, accessing and modifying
functional data objects, that can serve as a basis for other packages. The package further
contains a full simulation toolbox, which is a useful feature when implementing and testing
new methodological developments.
Based on the theory of object-oriented data analysis, it is shown why it is natural
to implement functional data in an object-oriented manner. The classes and methods
provided by funData are illustrated in many examples using two freely available datasets.
The MFPCA package, which implements multivariate functional principal component
analysis, is presented as an example for an advanced methodological package that uses
the funData package as a basis, including a case study with real data. Both packages are
publicly available on GitHub and the Comprehensive R Archive Network.
Creator
Clara Happ-Kurz
Source
https://www.jstatsoft.org/article/view/v093i05
Publisher
LMU Munich
Date
April 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Clara Happ-Kurz, “Object-Oriented Software for Functional Data,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8124.