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accelerometry (version 2.2.2)

Functions for processing minute-to-minute accelerometer data

Description

This package contains a collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.

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Version

Install

install.packages('accelerometry')

Monthly Downloads

552

Version

2.2.2

License

GPL-2

Maintainer

Dane Van Domelen

Last Published

August 11th, 2014

Functions in accelerometry (2.2.2)

personvars

Function for calculating daily averages for physical activity variables
blockaves

Block average calculator
accel.intensities

Classification of physical activity intensities
accel.process.uni

Process uniaxial minute-to-minute accelerometer data
accel.process.tri

Process triaxial minute-to-minute accelerometer data
accel.weartime

Accelerometer non-wear detection
accel.artifacts

Accelerometer artifact correction
rle2

Run length encoding (alternate implementation)
unidata

Uniaxial sample data for package accelerometry
accel.sedbreaks

Sedentary breaks detection
accel.bouts

Activity bout detection
inverse.rle2

Inverse run length encoding
rle2.char

C++ function for rle2 (character)
accelerometry-package

Functions for processing minute-to-minute accelerometer data
tridata

Uniaxial sample data for package accelerometry
movingaves

Moving averages
rle2.num

C++ function for rle2 (numeric)