tidyfun-package: tidyfun: Tools for Tidy Functional Data

In fabian-s/tidyfun: Tools for Tidy Functional Data

tidyfun: Tools for Tidy Functional Data

Description

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 & comparison 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.

Author(s)

Maintainer: Fabian Scheipl [e-mail] (ORCID)

Authors:

• Jeff Goldsmith

• Julia Wrobel (ORCID)

Other contributors:

• Maximilian Mücke (ORCID) [contributor]

See Also

Useful links:

• https://github.com/tidyfun/tidyfun

• https://tidyfun.github.io/tidyfun/

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

fabian-s/tidyfun documentation built on April 14, 2025, 5:16 a.m.