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
workloopR_1.1.4.zip(r-4.7)workloopR_1.1.4.zip(r-4.6)workloopR_1.1.4.zip(r-4.5)
workloopR_1.1.4.tgz(r-4.6-any)workloopR_1.1.4.tgz(r-4.5-any)
workloopR_1.1.4.tar.gz(r-4.7-any)workloopR_1.1.4.tar.gz(r-4.6-any)
workloopR_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
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/docs site:https://docs.ropensci.org

On CRAN:

Conda:

ddfmuscle-forcemuscle-physiology-experimentstetanuswork-loopworkloop

6.14 score 3 stars 76 scripts 271 downloads 14 exports 3 dependencies

Last updated from:2ed0f7f108 (on master). Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
pkgdown docsOK176
source / vignettesOK185
linux-release-x86_64OK129
macos-release-arm64OK97
macos-oldrel-arm64OK117
windows-develOK82
windows-releaseOK77
windows-oldrelOK77
wasm-releaseOK119

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
Load packages and data | Visualize | Select cycles | Plot the work loop cycles | Basics of analyze_workloop() | Using the default simplify = FALSE version | Setting simpilfy = TRUE in the analyze_workloop() function | More on cycle definitions in select_cycles()

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

Batch processing
Conceptual overview | Load packages and data | Necessarily-multi-trial functions | *_dir() functions | Summarizing workloop trials | Manual recursion examples | Batch import for non-ddf data | Data transformation and analysis

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

Importing data from non .ddf sources
Load packages | Data | Assemble via as_muscle_stim() | Attributes | Possible attributes | Thanks for reading!

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

Plotting data in workloopR
Loading packages and data | Plotting workloop objects | Working with single files | Plotting isometric objects | Working with multiple files

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

Working with isometric experiments in workloopR
Load packages and data | Visualize | Basics of isometric_timing() | Tetanus trials | Computing intervals | Annotate the twitch plot

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

Introduction to workloopR
Welcome to workloopR | Analytical pipelines | Data import | Attributes | Data from files that are not of .ddf format | Transformations and corrections to data | A particularly important transformation - select_cycles() | Data analytical functions | Thanks for reading!

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