Package: accelerometry 3.1.3

accelerometry: 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.

Authors:Dane R. Van Domelen

# Install 'accelerometry' in R:

install.packages('accelerometry', repos = c('https://vandomed.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vandomed/accelerometry/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

tridata - Triaxial Sample Data
unidata - Uniaxial Sample Data

On CRAN:

accelerometer exercise moving-average physical-activity sedentary-life wearable-devices cpp

6.71 score 7 stars 4 packages 41 scripts 282 downloads 3 mentions 17 exports 93 dependencies

Last updated from:70afcac78b. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	246
linux-devel-x86_64	NOTE	209
source / vignettes	OK	238
linux-release-arm64	NOTE	193
linux-release-x86_64	NOTE	186
macos-release-arm64	NOTE	160
macos-release-x86_64	NOTE	263
macos-oldrel-arm64	NOTE	108
macos-oldrel-x86_64	NOTE	311
windows-devel	NOTE	174
windows-release	NOTE	163
windows-oldrel	NOTE	155
wasm-release	OK	186

Exports:adherence_dodd adherence_garriguet artifacts blockaves blocksums bouts cut_counts intensities inverse_rle2 mles_beta movingaves personvars process_tri process_uni rle2 sedbreaks weartime

Dependencies:base64enc bitops bslib cachem cli commonmark cpp11 cubature data.table datawizard DBI digest dplyr dvmisc evaluate extraDistr farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools httpuv insight isoband jquerylib jsonlite kableExtra knitr labeling later lattice lifecycle lubridate magrittr MASS Matrix memoise mime minqa mitools mvtnorm numDeriv otel pillar pkgconfig pracma promises purrr R6 rappdirs rattle rbenchmark RColorBrewer Rcpp RcppArmadillo rlang rmarkdown rpart rpart.plot rstudioapi S7 sass scales shiny sjlabelled sourcetools stringi stringr survey survival svglite systemfonts tab textshaping tibble tidyr tidyselect timechange tinytex utf8 vctrs viridisLite withr xfun XML xml2 xtable yaml

Functions for Processing Accelerometer Data

Rendered fromaccelerometry.Rmdusingknitr::rmarkdown

Last update: 2018-08-24
Started: 2018-08-20

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Functions for Processing Accelerometer Data	accelerometry-package accelerometry
Estimate a Participant's Probability of Adhering to "N Days Per Week" Type of Physical Activity Guideline (Dodd's Method)	adherence_dodd
Estimate a Participant's Probability of Adhering to "N Days Per Week" Type of Physical Activity Guideline (Garriguet's Method)	adherence_garriguet
Accelerometer Artifact Correction	artifacts
Block Averages	blockaves
Block Sums	blocksums
Physical Activity Bout Detection	bouts
Cut Count Values into Intensity Ranges	cut_counts
Physical Activity Intensities	intensities
Inverse Run Length Encoding (Alternate Implementation)	inverse_rle2
Get Maximum Likelihood Estimates for Beta Distribution	mles_beta
Moving Averages	movingaves
Calculating Daily Averages for Physical Activity Variables	personvars
Process Triaxial Minute-to-Minute Accelerometer Data	process_tri
Process Uniaxial Minute-to-Minute Accelerometer Data	process_uni
Run Length Encoding (Alternate Implementation)	rle2
Sedentary Breaks	sedbreaks
Triaxial Sample Data	tridata
Uniaxial Sample Data	unidata
Wear Time Classification	weartime