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accelerometry
View on CRAN: Click
here
Download and install accelerometry package within the R console
Install from CRAN:
install.packages("accelerometry")
Install from Github:
library("remotes")
install_github("cran/accelerometry")
Install by package version:
library("remotes")
install_version("accelerometry", "3.1.2")
Attach the package and use:
library("accelerometry")
Maintained by
Dane R. Van Domelen
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-04
Latest Update: 2018-08-24
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.
How to cite:
Dane R. Van Domelen (2013). accelerometry: Functions for Processing Accelerometer Data. R package version 3.1.2, https://cran.r-project.org/web/packages/accelerometry. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that accelerometry depends,
imports, suggests or enhances
Complete documentation for accelerometry
Functions, R codes and Examples using
the accelerometry R package
Some associated functions: accelerometry . artifacts . blockaves . blocksums . bouts . cut_counts . intensities . inverse_rle2 . movingaves . personvars . process_tri . process_uni . rle2 . sedbreaks . tridata . unidata . weartime .
Some associated R codes: RcppExports.R . accelerometry-data.R . accelerometry.R . blockaves.R . blocksums.R . inverse_rle2.R . movingaves.R . process_tri.R . process_uni.R . rle2.R . sedbreaks.R . Full accelerometry package functions and examples
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