funData is an R-package that allows users to easily handle functional data. The data is stored in an object-oriented manner using S4 classes and methods.
funData provides a unified framework for different types of functional data:
- Univariate and multivariate data
- Regularly and irregularly sampled data
- Data with one-, two- (images) and even higher-dimensional domains
Important functionalities include:
- Displaying, Plotting, including an interface to
ggplot2 - Subsetting (samples, domain)
- Basic arithmetics and averaging
- Integration over the domain
- A fully integrated simulation toolbox
The funData package is available on CRAN.
To install the latest version directly from Github, please use devtools::install_github("ClaraHapp/funData") (install devtools before).
The funData package depends on the R-packages fields, foreach, abind and methods.
The functionalities of the funData package and its interplay with the MFPCA package for multivariate functional principal component analysis are described in:
C. Happ-Kurz (2020): Object-Oriented Software for Functional Data. Journal of Statistical Software, 93(5): 1-38 .
Please use GitHub issues for reporting bugs or issues.