Researchers at the University of Minnesota have released a new open-source R code repository called rDaynamica, designed for analyzing data collected through the Daynamica app. The repository provides a comprehensive suite of functions and analysis modules tailored to processing, visualizing, and extracting insights from Daynamica’s human activity datasets.
While Daynamica develops the innovative mobile sensing technologies, this new codebase was created by researchers to streamline common analysis workflows and techniques applied to Daynamica data across different studies. It includes tools for summary statistics, standard data tables, visualization, sequence alignment analysis, activity chaining studies, and integration of survey data. The repository aims to be user-friendly for all skill levels while offering extensive customization options.
Key Analysis Modules
Some of the main analysis modules currently available include:
- Standard Daynamica Analysis Report: Generates tables and figures covering general dataset stats, data collection over time, user visualizations, activity/trip summaries, and transportation mode/purpose breakdowns.
- Robust Calendar Visualization – Extends user calendar visualizations with enhanced formatting and color-coding options.
- Chord Diagram GIF Generator – Produces animated chord diagrams revealing movement patterns across locations.
An example anonymized Daynamica dataset is included to allow users to explore the repository’s capabilities immediately.
The University of Minnesota team plans to continually expand the rDaynamica repository based on their own research applying Daynamica data as well as contributions from the broader community. They encourage suggestions for additional analysis capabilities to incorporate.
With its open-source nature and centralized codebase, rDaynamica aims to foster collaboration and shared improvements among Daynamica data users working across transportation, public health, and other fields.
Those interested can find the repository at https://github.com/Daynamica-Repositories/rDaynamica and get started analyzing their Daynamica datasets today.