tidyfun: Tools for Tidy Functional Data

tidyfun makes data wrangling and exploratory analysis for functional data in R easier.

tidyfun is based on the classes and methods defined in package tf and provides:

• new data types for representing functional data: tf::tfd() & tf::tfb()

• arithmetic operators (tf::Ops.tf()),

• descriptive statistics: e.g. tf::mean.tf(), tf::median.tf()

• and graphics functions for such data: tf::plot.tf(), geom_spaghetti(), gglasagna()

• functions to do smoothing (tf::tf_smooth.tfd()), differentiation and integration (tf::tf_derive.tfd())

• tidyverse-verbs for handling functional data inside data frames: tf_gather() etc.
  
  
  Also see vignette("Introducing tidyfun", "tidyfun") for a brief introduction.

See also

Useful links:

• https://github.com/tidyfun/tidyfun

• https://tidyfun.github.io/tidyfun/

• Report bugs at https://github.com/tidyfun/tidyfun/issues

Author

Maintainer: Fabian Scheipl fabian.scheipl@googlemail.com (ORCID)

Authors:

• Jeff Goldsmith

• Julia Wrobel (ORCID)

Other contributors:

• Maximilian Muecke (ORCID) [contributor]