Raw Accelerometer Data Analysis

A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' < https://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' < https://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' < https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format and has either no header or a two column header. Also the package allows for external function embedding.

Build Status codecov DOI

The code in this repository is the development version for the code in R-package GGIR on CRAN The package vignette and this short tutorial video provide an introduction to GGIR, including: How it can be installed, Key software features, and where to get help.

Contribution guidelines:

We always welcome contributions to the package.

When you are familiar with GitHub:

We work with GitHub Flow branching model.

Key steps:

  1. Create a GitHub issue in this repository with description of the work that you plan to do.
  2. Assign yourself to the GitHub issue you are working on, to inform other developers that you are working on it.
  3. Create your own working branch or fork.
  4. Make your changes in that branch or fork.
  5. Commit your changes to your working branch/fork as long as you are not finished with your development.
  6. Make sure the release notes in NEWS.Rd are updated.
  7. Add your name to the contributors list in the DESCRIPTION file.
  8. Run the tests and checks as CRAN, make sure they pass.
  9. Once your work is finished, make a pull request, such that another developer can review your changes before merging them with the master branch.

When you are unfamiliar with GitHub:

If you would like to propose additional functionalities or report an issue. Go to issues and create a new issue.

If you would like to propose changes to the text of the manual this is possible.

  1. Please go to the man folder which holds all the parts of the manual.
  2. Go to the part of the manual you want to edit and click on edit button (little pencil symbol) and make your changes.
  3. Once you are finished, scroll down and describe you update and select the radio button "Create a new branch for this commit and start a pull request". One of the developers will then be able to review your changes and merge them in the master version of the code.
  4. Click the green button "Propose file changes"


Reference manual

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2.5-0 by Vincent T van Hees, 3 months ago

https://github.com/wadpac/GGIR/, https://groups.google.com/forum/#!forum/RpackageGGIR

Report a bug at https://github.com/wadpac/GGIR/issues

Browse source code at https://github.com/cran/GGIR

Authors: Vincent T van Hees [aut, cre] , Zhou Fang [ctb] , Jing Hua Zhao [ctb] , Joe Heywood [ctb] , Evgeny Mirkes [ctb] , Severine Sabia [ctb] , Joan Capdevila Pujol [ctb] , Jairo H Migueles [ctb] , Matthew R Patterson [ctb] , Dan Jackson [ctb] , Lena Kushleyeva [ctb] , Mathilde Chen [ctb] , Manasa Yerramalla [ctb]

Documentation:   PDF Manual  

Task views: Processing and Analysis of Tracking Data

LGPL (>= 2.0, < 3) | file LICENSE license

Imports data.table, Rcpp, foreach, doParallel, signal, zoo, bitops, matlab, GENEAread, tuneR, unisensR, ineq

Depends on stats, utils

Suggests testthat, covr, knitr, rmarkdown

Linking to Rcpp

Imported by AGread, postGGIR.

See at CRAN