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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 |
DOI: | 10.32614/CRAN.package.PhysicalActivity |
Author: | Leena Choi |
Maintainer: | Leena Choi <leena.choi at Vanderbilt.Edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
In views: | Tracking |
CRAN checks: | PhysicalActivity results |
Reference manual: | PhysicalActivity.pdf |
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-oldrel (arm64): PhysicalActivity_0.2-4.tgz, r-release (x86_64): PhysicalActivity_0.2-4.tgz, r-oldrel (x86_64): PhysicalActivity_0.2-4.tgz |
Old sources: | PhysicalActivity archive |
Reverse imports: | acc, activAnalyzer |
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These binaries (installable software) and packages are in development.
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