Time Series Response Analyser v2.0: A Web-Based Tool for Transparent Summary Statistics From Discrete Time-Series
Benjamin J Narang1,2, Greg Atkinson3, Javier T Gonzalez4,5
1Department of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.
Summary
Time Series Response Analyser v2.0 is a new, free, open-source web tool for analyzing discrete time-series data in exercise and sport nutrition research. It enhances accessibility and transparency for reproducible research workflows.
Area of Science:
- Sport nutrition
- Exercise metabolism
- Physiological research
Background:
- Discrete time-series data are crucial in sport nutrition and exercise metabolism research.
- Current methods often rely on spreadsheet tools with limitations in maintenance, version control, and transparency.
- Standardizing calculations like area under the curve is essential for accuracy.
Purpose of the Study:
- To introduce Time Series Response Analyser v2.0 (TSRA v2.0), a web-based successor to a previous spreadsheet tool.
- To improve accessibility, usability, and long-term maintainability of time-series data analysis.
- To provide a transparent and reproducible analytical workflow for researchers.
Main Methods:
- Development of a web-based application accessible via standard web browsers.
- Implementation of a structured workflow: data setup, file interpretation screening, interactive analysis, and results export.
- Retained core summary metrics from the original tool, expanding visualization and export options.
Main Results:
- TSRA v2.0 offers improved accessibility and user-friendliness compared to spreadsheet-based tools.
- The application supports both repeated-measures and independent-groups designs.
- Enhanced visualization and export capabilities are included.
Conclusions:
- TSRA v2.0 is a free, open-source, web-based application for discrete time-series analysis in exercise and sport science.
- It promotes transparent and reproducible research by addressing limitations of previous tools.
- The code-based platform facilitates future development and maintenance.
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