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RWDataPlyr

0.6.6

Read and Manipulate Data from 'RiverWare'

0packages depend
3.6Kdownloads / year
89.3%test coverage
13/13checks pass

Overview

About
Maintained by Alan ButlerFirst published 2018-08-165 releasesCRAN page ↗GitHub ↗

A tool to read and manipulate data generated from 'RiverWare'(TM) https://www.riverware.org/ simulations. 'RiverWare' and 'RiverSMART' generate data in "rdf", "csv", and "nc" format. This package provides an interface to read, aggregate, and summarize data from one or more simulations in a 'dplyr' pipeline.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 3.54
89.3%
Coverage · measured lines
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-12
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 388 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
74%
References docs
0%

Downloads

3.6K
CRAN downloads in the past year
Rank #15,150 · ~10/day · ~301/mo
Daily download trend is not available in this view yet.
14130 days
69590 days
3.6K1 year
Compare downloads with other packages →
Also on451 r2u16 autocran68 c2d4u

Repository

Repository
6Stars
5Forks
30Open issues
0Open PRs
12Releases
687Commits
4Contributors
rdata-manipulationriverware
687 commits · Last activity 2026-06-03 · 0% stars, 30d

Stars over time

2025-07-21 · 52026-07-07 · 6

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/bouldercodehub/rwdataplyr on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Lint, format, editor (1)
RStudio project
Show all practices
Coverage (1)
Codecov
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
Imports (12)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.6.6Latest
    2026-01-12 · current release · diff ↗
  • 0.6.5
    2025-12-01 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.6.4
    2020-04-17 · diff ↗
  • 0.6.3
    2020-03-03 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.6.2
    2018-08-16
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-08-16
Total releases
5 / 8 yrs
License
CC0
Minimum R
≥ 3.5
Bundled data
6.6 KB / 3 files
Download size
255 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RWDataPlyr")
Butler, A., & Bracken, C. (2026). RWDataPlyr: Read and Manipulate Data from 'RiverWare' (Version 0.6.6) [Computer software]. https://doi.org/10.32614/CRAN.package.RWDataPlyr

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 RWDataPlyr version 0.6.6 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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