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accelerometry (version 3.1.2)

Functions for Processing Accelerometer Data

Description

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

557

Version

3.1.2

License

GPL-3

Last Published

August 24th, 2018

Functions in accelerometry (3.1.2)

weartime

Wear Time Classification
process_tri

Process Triaxial Minute-to-Minute Accelerometer Data
process_uni

Process Uniaxial Minute-to-Minute Accelerometer Data
rle2

Run Length Encoding (Alternate Implementation)
sedbreaks

Sedentary Breaks
artifacts

Accelerometer Artifact Correction
tridata

Triaxial Sample Data
unidata

Uniaxial Sample Data
intensities

Physical Activity Intensities
inverse_rle2

Inverse Run Length Encoding (Alternate Implementation)
cut_counts

Cut Count Values into Intensity Ranges
movingaves

Moving Averages
bouts

Physical Activity Bout Detection
personvars

Calculating Daily Averages for Physical Activity Variables
accelerometry

Functions for Processing Accelerometer Data
blockaves

Block Averages
blocksums

Block Sums