Description
Streamline Physical Activity Research.
Description
Functions that support a broad range of common tasks in physical activity research, including but not limited to creation of Bland-Altman plots (<doi:10.1136/bmj.313.7049.106>), 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/>).
README.md
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 usinganalyze_boutsfrom 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.