Skip to content

tidyfun

0.2.0Package record

Tidy Functional Data Wrangling and Visualization

0packages depend
8.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Represent, visualize, describe and wrangle functional data in tidy data frames, building on the 'tf' package. Provides data types for functional observations that work as columns in data frames, enabling manipulation with 'dplyr' verbs and visualization with 'ggplot2' geoms designed for functional data.

Changes in 0.2.0
  • ggplot2 support for multivariate functional data (tf_mv columns, see tf::tfd_mv()): map them with aes(tf = ...) in tf_ggplot(), with type = "facet" (value-vs-arg curves, one panel per output dimension) or type = "trajectory" (planar curves x(t) vs y(t) for 2-component objects).
  • New autoplot.tf_mv() and autolayer.tf_mv() methods for quick plots and layers of tf_mv objects.
  • New tf_unnest.tf_mv() method returning a "wide" long table with one value column per output dimension: (id, arg, <component 1>, ..., <component d>).
  • Behavior change: an explicitly mapped x aesthetic is no longer silently overwritten by tf_y's arg grid, so aes(tf_x = fx, tf_y = fy) now correctly draws planar curves x(t) vs y(t).
  • Univariate-only displays (geom_spaghetti()/geom_meatballs(), gglasagna(), geom_fboxplot()) now fail early with an informative error for tf_mv inputs instead of dying with obscure internal errors.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 9.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-09
  • ERROR12 OK, 1 ERROR2026-09-04
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK13 OK2026-04-29
  • WARNING10 OK, 2 NOTE, 1 WARNING2026-04-23
  • NOTE4 OK, 1 NOTE2026-04-14
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 833 wordsVignettesYes · 7 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsiteYes · pkgdown
Help pages
28 (7 internal)includes a package overview page
Examples that run
82%14 run in a plain check (2 of them under a condition) · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
92%
Documented parameters
93%
Return-value docs
92%
Help pages citing references
7%

Downloads

8.9K
CRAN downloads in the past year
Rank #10,065 · ~24/day · ~740/mo
Daily download trend is not available in this view yet.
39030 days
1K90 days
8.9K1 year
Compare downloads with other packages →
Also on119 r2u4 autocran

Repository

39Stars
7Forks
3Open issues
0Open PRs
1Releases
797Commits
8Commit identities
797 commits · Last activity 2026-10-20 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
91%
Median days to close, 50 most recently updated closed issues
242
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-07-29 · 362026-07-07 · 39
PracticesBeta

13 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/tidyfun/tidyfun on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-03 · The repository has a site deploy workflow

pkgdown site last built 2026-09-03

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 4 practices
CRAN release process (1)
cran-comments.md
Automation and maintenance (1)
Dependabot
Lint, format, editor (2)
AirRStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen on or before 2026-03-05
    Seen in the repository: CLAUDE.md
    Named in .Rbuildignore: .claude, CLAUDE.md
    Named in .gitignore: CLAUDE.md
    Pull request it wrote: opened by a project member
    Commits: 5 by its own account · at least 58 crediting it in the message
  • GitHub Copilotfirst seen 2026-03-18
    Pull request: opened by its own account
    Commits: 2 by its own account
  • Codexfirst seen 2026-04-24
    Named in .Rbuildignore: .codex
Review tools
  • Copilot code review
    Commits: at least 5 accepting its review suggestions
Models named in its commits
  • Claude Opus 4.634 commits · Mar to Apr 2026
  • Claude Fable 517 commits · Jul 2026
  • Claude Sonnet 4.64 commits · Mar 2026
  • Claude Fable 5.12 commits · Sep 2026
  • Claude Opus 4.81 commit · May 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
26 external dependencies (excludes base and recommended)

Installing tidyfun adds 41 packages (18 with compiled code, 35 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, patchwork 3.2 MB.

Depends (2)
R >= 4.1tf
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.1 (2026), Copyright holder
Contributor
Releases (3)

Pick two releases to compare their code metrics.

  • 0.2.0Latest
    record
    2026-07-16 · current release · diff ↗
  • 0.1.2
    record
    2026-04-24 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1
    record
    2026-04-13
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-13
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1
Bundled data
736 KB / 2 files
Download size
6.2 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tidyfun")
Scheipl, F., Goldsmith, J., Mücke, M., & Wrobel, J. (2026). tidyfun: Tidy Functional Data Wrangling and Visualization (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tidyfun

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tidyfun version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy