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]

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workloopR.pdf |workloopR.html
workloopR/json (API)

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

Peer review:

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

Pkgdown:https://docs.ropensci.org

On CRAN:

ddfmuscle-forcemuscle-physiology-experimentstetanuswork-loopworkloop

5.92 score 3 stars 46 scripts 147 downloads 14 exports 3 dependencies

Last updated 5 months agofrom:2ed0f7f108 (on master). Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

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 Nov 14 2024.

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

Batch processing

Rendered frombatch-processing.Rmdusingknitr::rmarkdownon Nov 14 2024.

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

Importing data from non .ddf sources

Rendered fromnon-ddf-sources.Rmdusingknitr::rmarkdownon Nov 14 2024.

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

Introduction to workloopR

Rendered fromIntroduction-to-workloopR.Rmdusingknitr::rmarkdownon Nov 14 2024.

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

Plotting data in workloopR

Rendered fromPlotting-workloopR.Rmdusingknitr::rmarkdownon Nov 14 2024.

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

Working with isometric experiments in workloopR

Rendered fromCalculating-twitch-kinetics.Rmdusingknitr::rmarkdownon Nov 14 2024.

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