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tdata

0.3.0

Prepare Your Time-Series Data for Further Analysis

1packages depend
2.2Kdownloads / year
54.9%test coverage
13/13checks pass

Overview

About
Maintained by Ramin MojabFirst published 2023-06-124 releasesCRAN page ↗GitHub ↗

Provides a set of tools for managing time-series data, with a particular emphasis on defining various frequency types such as daily and weekly. It also includes functionality for converting data between different frequencies.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.18
54.9%
Coverage · measured lines
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-06-07
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #17,709 · ~6/day · ~186/mo
Daily download trend is not available in this view yet.
14130 days
61490 days
2.2K1 year
Compare downloads with other packages →
Also on397 r2u15 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
License GPL-3.0 · Last activity 2024-07-06

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/rmojab63/ldt on 2026-08-09.

Lint, format, editor (2)
lintrVS Code
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (1)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.0Latest
    2023-11-07 · current release · diff ↗
  • 0.2.2.0
    2023-06-29 · diff ↗
  • 0.2.1.0
    2023-06-20 · diff ↗
  • 0.2.0.0
    2023-06-12
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-12
Total releases
4 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
13 KB / 1 file
Download size
109 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tdata")
Mojab, R. (2023). tdata: Prepare Your Time-Series Data for Further Analysis (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tdata

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 tdata version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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