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B0701
Title: tidyfun: A new framework for representing and working with function-valued data Authors:  Jeff Goldsmith - Columbia University (United States) [presenting]
Fabian Scheipl - Ludwig-Maximilians-Universitaet Muenchen (Germany)
Julia Wrobel - University of Colorado School of Public Health (United States)
Abstract: A new R package, tidyfun, is presented for representing and working with function-valued data that presents a unified interface for dealing with regularly or irregularly observed function-valued data. The package follows the tidyverse design philosophy of R packages and is aimed at lowering the barrier of entry for analysts in order to quickly and painlessly analyse and interact with functional data and, specifically, datasets that contain both scalar and functional data or multiple types of functional data, potentially measured over different domains. We discuss the available feature set as well as forthcoming extensions and show some application examples.