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.

Version: 0.2-4
Depends: R (≥ 2.10)
Suggests: RSQLite, DBI, data.table, e1071, keras, randomForest, reticulate, rms
Published: 2021-01-22
Author: Leena Choi ORCID iD [aut, cre], Cole Beck ORCID iD [aut], Zhouwen Liu [aut], Ryan Moore [aut], Charles E. Matthews [aut], Maciej S. Buchowski [aut]
Maintainer: Leena Choi <leena.choi at Vanderbilt.Edu>
License: GPL (≥ 3)
NeedsCompilation: no
In views: Tracking
CRAN checks: PhysicalActivity results

Documentation:

Reference manual: PhysicalActivity.pdf

Downloads:

Package source: PhysicalActivity_0.2-4.tar.gz
Windows binaries: r-devel: PhysicalActivity_0.2-4.zip, r-release: PhysicalActivity_0.2-4.zip, r-oldrel: PhysicalActivity_0.2-4.zip
macOS binaries: r-release (arm64): PhysicalActivity_0.2-4.tgz, r-release (x86_64): PhysicalActivity_0.2-4.tgz, r-oldrel: PhysicalActivity_0.2-4.tgz
Old sources: PhysicalActivity archive

Reverse dependencies:

Reverse imports: acc

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