Package: PhysicalActivity 0.2-4
Leena Choi
PhysicalActivity: Process Accelerometer Data for Physical Activity Measurement
It provides a function "wearingMarking" for classification of monitor wear and nonwear time intervals in accelerometer data collected to assess physical activity. The package also contains functions for making plot for accelerometer data and obtaining the summary of various information including daily monitor wear time and the mean monitor wear time during valid days. "deliveryPred" and "markDelivery" can classify days for ActiGraph delivery by mail; "deliveryPreprocess" can process accelerometry data for analysis by zeropadding incomplete days and removing low activity days; "markPAI" can categorize physical activity intensity level based on user-defined cut-points of accelerometer counts. It also supports importing ActiGraph AGD files with "readActigraph" and "queryActigraph" functions.
Authors:
PhysicalActivity_0.2-4.tar.gz
PhysicalActivity_0.2-4.tar.gz(r-4.5-noble)PhysicalActivity_0.2-4.tar.gz(r-4.4-noble)
PhysicalActivity_0.2-4.tgz(r-4.4-emscripten)PhysicalActivity_0.2-4.tgz(r-4.3-emscripten)
PhysicalActivity.pdf |PhysicalActivity.html✨
PhysicalActivity/json (API)
# Install 'PhysicalActivity' in R: |
install.packages('PhysicalActivity', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- dataSec - Accelerometer Data Example
- deliveryData - Data Example for Mail Delivery Day Classification
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:d744dfd148. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux | NOTE | Dec 11 2024 |
Exports:dataCollapserdeliveryFeaturesdeliveryPreddeliveryPredictiondeliveryPreprocessmarkDeliverymarkingTimemarkPAIplotDataqueryActigraphreadActigraphreadCountsDatasummaryDatasumVctwearingMarking
Dependencies: