Package: workloopR 1.1.4

Vikram B. Baliga

workloopR: Analysis of Work Loops and Other Data from Muscle Physiology Experiments

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).

Authors:Vikram B. Baliga [aut, cre], Shreeram Senthivasan [aut], Julia Romanowska [rev], Eric Brown [rev]

workloopR_1.1.4.tar.gz
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workloopR.pdf |workloopR.html
workloopR/json (API)

# Install 'workloopR' in R:
install.packages('workloopR', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #326

Bug tracker:https://github.com/ropensci/workloopr/issues

Pkgdown site:https://docs.ropensci.org

On CRAN:

Conda:

ddfmuscle-forcemuscle-physiology-experimentstetanuswork-loopworkloop

5.93 score 3 stars 47 scripts 123 downloads 14 exports 3 dependencies

Last updated 11 months agofrom:2ed0f7f108 (on master). Checks:10 OK. Indexed: yes.

TargetResultTotal time
source / vignettesOK181
pkgdown docsOK450
linux-devel-x86_64OK120
linux-release-x86_64OK123
macos-release-arm64OK63
macos-oldrel-arm64OK73
windows-develOK76
windows-releaseOK70
windows-oldrelOK79
wasm-releaseOK86

Exports:analyze_workloopas_muscle_stimfix_GRget_wl_metadatainvert_positionisometric_timingread_analyze_wlread_analyze_wl_dirread_ddfread_ddf_dirselect_cyclessummarize_wl_trialstime_correcttrapezoidal_integration

Dependencies:MASSpracmasignal

Analyzing work loop experiments in workloopR

Rendered fromAnalyzing-workloops.Rmdusingknitr::rmarkdownon May 29 2025.

Last update: 2021-05-02
Started: 2019-07-20

Batch processing

Rendered frombatch-processing.Rmdusingknitr::rmarkdownon May 29 2025.

Last update: 2021-05-02
Started: 2019-07-20

Importing data from non .ddf sources

Rendered fromnon-ddf-sources.Rmdusingknitr::rmarkdownon May 29 2025.

Last update: 2021-05-02
Started: 2019-07-20

Introduction to workloopR

Rendered fromIntroduction-to-workloopR.Rmdusingknitr::rmarkdownon May 29 2025.

Last update: 2019-10-21
Started: 2019-07-20

Plotting data in workloopR

Rendered fromPlotting-workloopR.Rmdusingknitr::rmarkdownon May 29 2025.

Last update: 2021-05-02
Started: 2019-07-20

Working with isometric experiments in workloopR

Rendered fromCalculating-twitch-kinetics.Rmdusingknitr::rmarkdownon May 29 2025.

Last update: 2021-05-02
Started: 2019-07-20