accelerometry {accelerometry}R Documentation

Functions for Processing Accelerometer Data


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.


Package: accelerometry
Type: Package
Version: 3.1.2
Date: 2018-08-23
License: GPL-3

See CRAN documentation for full list of functions.


Dane R. Van Domelen


Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention, 2003-6. Available at: Accessed Aug. 19, 2018.

Eddelbuettel, D. and Francois, R. (2011) Rcpp: Seamless R and C++ Integration. Journal of Statistical Software, 40(8), 1-18.

Eddelbuettel, D. (2013) Seamless R and C++ Integration with Rcpp. Springer, New York. ISBN 978-1-4614-6867-7.

Eddelbuettel, D. and Balamuta, J.J. (2017). Extending R with C++: A Brief Introduction to Rcpp. PeerJ Preprints 5:e3188v1.

National Cancer Institute. Risk factor monitoring and methods: SAS programs for analyzing NHANES 2003-2004 accelerometer data. Available at: Accessed Aug. 19, 2018.

Van Domelen, D.R., Pittard, W.S. and Harris, T.B. (2018) nhanesaccel: Process accelerometer data from NHANES 2003-2006. R package version 3.1.1.

Acknowledgment: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903.

[Package accelerometry version 3.1.2 Index]