Streamline Physical Activity Research

Functions that support a broad range of common tasks in physical activity research, including but not limited to creation of Bland-Altman plots (), metabolic calculations such as basal metabolic rate predictions (< https://europepmc.org/article/med/4044297/reloa>), demographic calculations such as age-for-body-mass-index percentile (< https://www.cdc.gov/growthcharts/cdc_charts.htm>), and analysis of bout detection algorithm performance (< https://pubmed.ncbi.nlm.nih.gov/34258524/>).

PAutilities

This package provides utilities to support a range of tasks in physical activity research. These include the items in the list below, which is expected to grow and mature over time. Feature/pull requests are encouraged!

• Activity intensity classification from metabolic equivalents and (if available) posture
• Analysis of bout detection (i.e., change point detection) algorithm performance
• Assessment of cardiovascular disease risk
• Bland-Altman analysis and plotting
• Bouted moderate-to-vigorous physical activity analysis (now recommend using analyze_bouts from PBpatterns)
• Demographic and anthropometric calculations (age, BMI, BMI-for-age percentile, weight status) (now recommend using anthropometry)
• Formatted descriptive statistics
• Indexed run length encoding
• Metabolic calculations (energy expenditure, unit conversions, resting energy expenditure predictions, sliding window resting metabolic rate calculations)
• Paired equivalence testing (including a plot method)
• Programming management (e.g. runtime updates, object comparisons)
• Reordering data frame variables