This package was removed from CRAN on 2026-01-30. Its history is shown below.
Reason: requires archived package 'pryr'
Details below reflect version 0.1.1, its last release before removal.
Analyze Lines of R Code the Tidy Way
0packages depend
–downloads / year
–test coverage
–flavors OK
Overview
About
Analyze lines of R code using tidy principles. This allows you to input lines of R code and output a data frame with one row per function included. Additionally, it facilitates code classification via included lexicons.
Changes in 0.1.1
- Minor bug fixes: typo fixes (#3 @cderv) and fixed a minor issue with
unnest_calls()function output
From NEWS.md in the release
Install
Health
CRAN checks
CRAN check results are not tracked yet.
Advisories
Documentation
In release 0.1.1
READMEYes · 170 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION
- Help pages
- 7 (1 internal)
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 86%
- Documented parameters
- 100%
- Return-value docs
- 83%
- Help pages citing references
- 0%
Downloads
Daily download trend is not available in this view yet.
Also on58 r2u9 autocran
Dependencies
Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Code & Tests
Datasets
People & History
People (3)
Releases (2)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-30requires archived package 'pryr'
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.12019-12-10 · diff ↗
- 0.1.02019-05-20
- RR 3.6.0 released · 2019-04-26
0 of 2 selectedCompare selected
Package metadata
- First published
- 2019-05-20
- Total releases
- 2 / 7 yrs
- License
- MIT + file LICENSE OSI
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("tidycode")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.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.