accelerometry: Functions for Processing Minute-to-Minute 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.

Install the latest version of this package by entering the following in R:
install.packages("accelerometry")
AuthorDane R. Van Domelen
Date of publication2015-05-12 18:06:59
MaintainerDane R. Van Domelen <vandomed@gmail.com>
LicenseGPL-2
Version2.2.5

View on CRAN

Files

src
src/intensities.cpp
src/Makevars
src/rle2_num.cpp
src/movingaves_max.cpp
src/blockaves.cpp
src/weartime.cpp
src/artifacts.cpp
src/bouts.cpp
src/Makevars.win
src/RcppExports.cpp
src/movingaves.cpp
src/rle2_char.cpp
src/personvars.cpp
src/sedbreaks.cpp
src/sedbreaks_flags.cpp
NAMESPACE
demo
demo/acceljournal.R
demo/00Index
data
data/unidata.rda
data/tridata.rda
R
R/RcppExports.R
MD5
DESCRIPTION
man
man/personvars.Rd man/accel_sedbreaks.Rd man/accel_process_uni.Rd man/unidata.Rd man/accelerometry-package.Rd man/accel_intensities.Rd man/accel_weartime.Rd man/blockaves.Rd man/movingaves.Rd man/rle2.Rd man/accel_bouts.Rd man/inverse_rle2.Rd man/tridata.Rd man/accel_artifacts.Rd man/accel_process_tri.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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