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.