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- Title
A Tool to Explore Discrete-Time Data: The Time Series Response Analyser.
- Authors
Narang, Benjamin J.; Atkinson, Greg; Gonzalez, Javier T.; Betts, James A.
- Abstract
The analysis of time series data is common in nutrition and metabolism research for quantifying the physiological responses to various stimuli. The reduction of many data from a time series into a summary statistic(s) can help quantify and communicate the overall response in amore straightforward way and in line with a specific hypothesis. Nevertheless, many summary statistics have been selected by various researchers, and some approaches are still complex. The time-intensive nature of such calculations can be a burden for especially large data sets and may, therefore, introduce computational errors, which are difficult to recognize and correct. In this short commentary, the authors introduce a newly developed tool that automates many of the processes commonly used by researchers for discrete time series analysis, with particular emphasis on how the tool may be implemented within nutrition and exercise science research.
- Subjects
DATABASE management; DIETETICS research; EXERCISE; STATISTICS; TIME series analysis; DATA analysis; EVALUATION
- Publication
International Journal of Sport Nutrition & Exercise Metabolism, 2020, Vol 30, Issue 5, p374
- ISSN
1526-484X
- Publication type
Article
- DOI
10.1123/ijsnem.2020-0150