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

accelerometry_3.1.3.tar.gz
accelerometry_3.1.3.zip(r-4.7)accelerometry_3.1.3.zip(r-4.6)accelerometry_3.1.3.zip(r-4.5)
accelerometry_3.1.3.tgz(r-4.6-x86_64)accelerometry_3.1.3.tgz(r-4.6-arm64)accelerometry_3.1.3.tgz(r-4.5-x86_64)accelerometry_3.1.3.tgz(r-4.5-arm64)
accelerometry_3.1.3.tar.gz(r-4.7-arm64)accelerometry_3.1.3.tar.gz(r-4.7-x86_64)accelerometry_3.1.3.tar.gz(r-4.6-arm64)accelerometry_3.1.3.tar.gz(r-4.6-x86_64)
accelerometry_3.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
accelerometry/json (API)

# 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:

On CRAN:

Conda:

accelerometerexercisemoving-averagephysical-activitysedentary-lifewearable-devicescpp

6.60 score 6 stars 4 packages 37 scripts 422 downloads 3 mentions 17 exports 93 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE182
linux-devel-x86_64NOTE181
source / vignettesOK277
linux-release-arm64NOTE237
linux-release-x86_64NOTE194
macos-release-arm64NOTE165
macos-release-x86_64NOTE364
macos-oldrel-arm64NOTE136
macos-oldrel-x86_64NOTE352
windows-develNOTE189
windows-releaseNOTE172
windows-oldrelNOTE160
wasm-releaseOK175

Exports:adherence_doddadherence_garriguetartifactsblockavesblocksumsboutscut_countsintensitiesinverse_rle2mles_betamovingavespersonvarsprocess_triprocess_unirle2sedbreaksweartime

Dependencies:base64encbitopsbslibcachemclicommonmarkcpp11cubaturedata.tabledatawizardDBIdigestdplyrdvmiscevaluateextraDistrfarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshttpuvinsightisobandjquerylibjsonlitekableExtraknitrlabelinglaterlatticelifecyclelubridatemagrittrMASSMatrixmemoisemimeminqamitoolsmvtnormnumDerivotelpillarpkgconfigpracmapromisespurrrR6rappdirsrattlerbenchmarkRColorBrewerRcppRcppArmadillorlangrmarkdownrpartrpart.plotrstudioapiS7sassscalesshinysjlabelledsourcetoolsstringistringrsurveysurvivalsvglitesystemfontstabtextshapingtibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunXMLxml2xtableyaml

Functions for Processing Accelerometer Data

Dane Van Domelen [email protected]

Rendered fromaccelerometry.Rmdusingknitr::rmarkdownon Jun 01 2026.

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