Skip to content

RWDataPlyr

0.6.6Package record

Read and Manipulate Data from 'RiverWare'

0packages depend
3.7Kdownloads / year
89.3%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.6.6

*Release January 12, 2026*

  • Fixed C++ specification again, to pass R-devel on CRAN

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-22
Show 3 earlier changesHide 3 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-12
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 0.6.6
READMEYes · 388 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.6.6Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
36 (9 internal)includes a package overview page
Examples that run
100%27 run in a plain check
Exported functions with examples
78%
Documented parameters
100%
Return-value docs
74%
Help pages citing references
0%

Downloads

3.7K
CRAN downloads in the past year
Rank #12,162 · ~10/day · ~304/mo
Daily download trend is not available in this view yet.
26930 days
92090 days
3.7K1 year
Compare downloads with other packages →
Also on411 r2u4 autocran91 c2d4u

Repository

6Stars
5Forks
30Open issues
0Open PRs
12Releases
687Commits
4Commit identities
rdata-manipulationriverware
687 commits · Last activity 2026-06-03 · 0% stars, 30d · Default branch at 0.6.6.9000, ahead of CRAN 0.6.6 (checked 2026-10-25)
Responsiveness
How these are sampled
PRs merged (all time)
96%
Median days to close, 50 most recently updated closed issues
274
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-07-21 · 52026-07-07 · 6
PracticesBeta

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

Checks run against github.com/bouldercodehub/rwdataplyr on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Coverage (1)
Coverage reporting (Codecov)
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Show all practicesHide 2 practices
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing RWDataPlyr adds 29 packages (20 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, arrow 4.2 MB.

Depends (1)
R >= 3.5
Imports (12)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.6.2 (2018)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.6.6Latest
    record
    2026-01-12 · current release · diff ↗
  • 0.6.5
    record
    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
    record
    2020-04-17 · diff ↗
  • 0.6.3
    record
    2020-03-03 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.6.2
    record
    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
Copyright
This software is in the public domain because it contains materials that originally came from the U.S. Bureau of Reclamation, an agency of the U.S. Department of Interior.
Minimum R
≥ 3.5
Bundled data
6.6 KB / 3 files
Download size
255 KB
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 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 RWDataPlyr version 0.6.6 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, 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