tf-package: tf: S3 Classes and Methods for Tidy Functional Data

In tf: S3 Classes and Methods for Tidy Functional Data

tf: S3 Classes and Methods for Tidy Functional Data

Description

tf is a light-weight package with few dependencies that provides the class definitions and methods infrastructure for tidyfun – tf gives you:

• new S3 data types for representing (vectors of) functional data: tfd() & tfb()

• arithmetic operators for such data (Ops.tf()),

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

• base graphics functions for such data: plot.tf()

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

The goal of the add-on package tidyfun is to make data wrangling and exploratory analysis for functional data in R quick and easy, using tidyverse syntax and standards.

Please also install tidyfun for the full functionality to access the full documentation including a number of vignettes and case studies, or visit the tidyfun website.

Author(s)

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

Authors:

• Jeff Goldsmith

Other contributors:

• Julia Wrobel (ORCID) [contributor]

• Maximilian Muecke (ORCID) [contributor]

• Sebastian Fischer (ORCID) [contributor]

• Trevor Hastie (softImpute author) [contributor]

• Rahul Mazumder (softImpute author) [contributor]

• Chen Meng (mogsa author) [contributor]

See Also

Useful links:

• https://tidyfun.github.io/tf/

• https://github.com/tidyfun/tf/

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

tf documentation built on May 29, 2024, 5:28 a.m.