Analyze data from commonly used wearables: transparent, fast and without any data storage
Wearalyze is a Shiny app that supports patients, clinicians and researchers in the analysis of data from commonly used wearables. It is designed to be transparent, fast and without any data storage.
We currently support the following devices:
The data can conveniently be uploaded via the app and is processed in immediately. The app provides a variety of visualizations and metrics to analyze the data. The data is not stored on any server, but only processed locally from where you're running the app. We also don't use cookies or user analytics.
This app is a Rhino project 🦏. Rhino makes use of renv to manage the project dependencies.
If you pull the project from GitHub, renv
will automatically be downloaded and installed.
If everything is ok, the output will look as follows:
# Bootstrapping renv 1.0.2 ---------------------------------------------------
- Downloading renv ... OK
- Installing renv ... OK
- Project '~/wearalyze' loaded. [renv 1.0.2]
- One or more packages recorded in the lockfile are not installed.
- Use `renv::status()` for more details.
Once that's done, you can run the following code to install the required wearalyze
R dependencies:
renv::restore()
R dependencies will be installed with install.packages()
.
After that (this can take some time!), you can run the app by executing the following code:
runApp()
Or alternatively, you can head over to the app.R
file and click the "Run App" button in RStudio.
Since this project is using renv
to manage project dependencies, it is required to snapshot the project library after installing new packages. This can be done by running renv::snapshot()
which will make changes to the renv.lock
file.
Make sure that the dependencies are recorded in the dependencies.R
file!