R Observatory: Metrics for workloopR version 1.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

workloopR

1.1.4Package record

Analysis of Work Loops and Other Data from Muscle Physiology Experiments

0packages depend

2.5Kdownloads / year

100.0%test coverage

13/13flavors OK

Overview

About

Maintained by Vikram B. BaligaCRAN page ↗GitHub ↗Website ↗Issues ↗rOpenSci review: issue 326 ↗

Functions for the import, transformation, and analysis of data from muscle physiology experiments. The work loop technique is used to evaluate the mechanical work and power output of muscle. Josephson (1985) doi:10.1242/jeb.114.1.493 modernized the technique for application in comparative biomechanics. Although our initial motivation was to provide functions to analyze work loop experiment data, as we developed the package we incorporated the ability to analyze data from experiments that are often complementary to work loops. There are currently three supported experiment types: work loops, simple twitches, and tetanus trials. Data can be imported directly from .ddf files or via an object constructor function. Through either method, data can then be cleaned or transformed via methods typically used in studies of muscle physiology. Data can then be analyzed to determine the timing and magnitude of force development and relaxation (for isometric trials) or the magnitude of work, net power, and instantaneous power among other things (for work loops). Although we do not provide plotting functions, all resultant objects are designed to be friendly to visualization via either base-R plotting or 'tidyverse' functions. This package has been peer-reviewed by rOpenSci (v. 1.1.0).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("workloopR", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ropensci/workloopR")

Development version from ropensci/workloopR. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-workloopr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-workloopR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-workloopR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.4

README· In the repository, left out of the releaseVignettesYes · 6 · dynamicNEWS· In the repository, left out of the releaseCitation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 15 (1 internal)includes a package overview page
Examples that run: 100%14 run in a plain check
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 40%

Vignettes (6)

Analyzing work loop experiments in workloopR HTML
Batch processing HTML
Importing data from non .ddf sources HTML
Introduction to workloopR HTML
Plotting data in workloopR HTML
Working with isometric experiments in workloopR HTML

How these are measured

Downloads

2.5K

CRAN downloads in the past year

Rank #19,875 · ~7/day · ~210/mo

Releases R versions

Daily download trend is not available in this view yet.

26130 days

65990 days

2.5K1 year

Compare downloads with other packages →

Also on69 r2u6 autocran

How downloads are counted

Repository

ropensci/workloopr ↗Organization: ropensci

3Stars

2Forks

0Open issues

0Open PRs

5Releases

99Commits

3Commit identities

muscle-physiology-experimentswork-loopmuscle-forcetetanusworkloopddfrr-package

License file reads as GPL-3.0 · 99 commits · Last activity 2024-07-17

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 0
Median days to close, 50 most recently updated closed PRs: 0

How these are measured

PracticesBeta

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

Checks run against github.com/ropensci/workloopr 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

Governance and community (4)

Code of conduct (inherited from ropensci)Contributing guideIssue templatesPR template

Docs source (2)

pkgdown

GitHub Pages site last deployed 2019-10-30

pkgdown site last built 2021-07-28

Coverage (1)

Coverage reporting

Show all practicesHide 3 practices

CRAN release process (1)

cran-comments.md

Research and citation (3)

CITATION.cffcodemeta.jsonJOSS paper

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing workloopR adds 2 packages (1 with compiled code, 2.3 MB of source tarballs). Heaviest: signal 1.9 MB, pracma 389 KB.

Depends (0)

none

Imports (2)

pracma signal

LinkingTo (0)

none

Suggests (8)

testthat knitr rmarkdown dplyr ggplot2 magrittr purrr tidyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Vikram B. Baliga

Author, Maintainer since 1.1.4 (2021)

Shreeram Senthivasan

Author

Eric Brown

Reviewer

Eric reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>

Julia Romanowska

Reviewer

Julia reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>

Releases (1)

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
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
1.1.4Latest
record
2021-05-06 · current release
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-05-06
Total releases: 1 / 5 yrs
License: GPL (>= 3) OSI
Download size: 889 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("workloopR")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

The repository also keeps a CITATION.cff.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for workloopR version 1.1.4 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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