activAnalyzer

activAnalyzer is a Shiny app that has been developed to analyze daily physical behavior data recorded at the hip in adults using an ActiGraph accelerometer (.agd files). Once analysis is completed, the app allows exporting results (summarized by day with means or medians of the valid days) to .csv files and generating a report of the measurement (.pdf file). All the configured inputs relevant for interpreting the results are recorded in the report. Be sure that the inputs that are configured when generating the report correspond to the analysis that was actually performed (in other words, avoid modifying the inputs after generating satisfactory results). In addition to a general analysis of physical behavior, the app also allows to implement the Daily- and Clinical visit-PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments (D-PPAC and C-PPAC). Please read the user’s guide for details about how the app works.

Usage

There are three different ways to use the activAnalyzer app:

• On the web via a shinyapps.io plateform (stable version). For information, as indicated by RStudio, “shinyapps.io is secure-by-design. Each Shiny application runs in its own protected environment and access is always SSL encrypted”. Importantly, the app is hosted using a free account that allows to run apps for 25 hours per month. Thus, the availability of the app on the web is very dependent on the number of users as well as the time spent by each user on the app. Moreover, as computations when using the app can be quite intensive, it is possible that speed and stability of this online version of the app become sometimes compromised. For these reasons, this option should be considered as a way to have a quick look at how the app works. The other available options (please see below) will be more appropriate for working with the app on a regular basis. Of note, Google Chrome and Microsoft Edge browsers allow the app to work as expected but Mozilla Firefox does not seem to allow resetting all the inputs when required.
• On your machine via a standalone desktop app that is downloadable from the SourceForge website (stable version, for Windows machines only). The standalone app has been developed using the framework DesktopDeployR made available by W. Lee Pang. Explanations related to this framework can be retrieved from a dedicated GitHub repository. Once the app is installed on your PC, you will have to double-click on the desktop app icon (if you chose this option during the installation process), which will run the R-portable version embedded in the app and then will launch the app in your default web browser with 127.0.0.1 as the value for the host parameter. This means that only your current machine will can access the app. You will can open only one session at a time. As written above, Google Chrome and Microsoft Edge browsers allow the app to work as expected but Mozilla Firefox does not seem to allow resetting all the inputs when required.
• On your machine via R software, the RStudio environment, and the activAnalyzer package installable from GitHub (development version). To be able to generate the .pdf reports, you will have to install the TinyTeX distribution. In short, after installing R and RStudio, you can run the following command lines in the RStudio console:

# Code for installing the activAnalyzer package
install.packages("devtools")
devtools::install_github("pydemull/activAnalyzer")

# Code for installing the TinyTex distribution
install.packages("tinytex")
tinytex::install_tinytex()

Example

To launch the app using R:

library(activAnalyzer)
activAnalyzer::run_app()

Code of Conduct

Please note that the activAnalyzer project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.