Package: actimetrics 0.7.0
actimetrics: Create Metrics Actigraphy and Activity Analysis
Provides functions for calibrating, counting, and summarizing actigraphy and activity data into specific metrics and sleep measures. The metrics include activity counts, step counts, activity index, Monitor Independent Movement Summary Unit (MIMS), mean amplitude deviation (MAD), and provides wrappers for sleep estimation from activity counts using Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> and Sadeh (1994) <doi:10.1093/sleep/17.3.201>.
Authors:
actimetrics_0.7.0.tar.gz
actimetrics_0.7.0.zip(r-4.7-any)actimetrics_0.7.0.zip(r-4.6-any)actimetrics_0.7.0.zip(r-4.5-any)
actimetrics_0.7.0.tgz(r-4.6-any)actimetrics_0.7.0.tgz(r-4.5-any)
actimetrics_0.7.0.tar.gz(r-4.7-any)actimetrics_0.7.0.tar.gz(r-4.6-any)
actimetrics_0.7.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
actimetrics/json (API)
| # Install 'actimetrics' in R: |
| install.packages('actimetrics', repos = c('https://jhuwit.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jhuwit/actimetrics/issues
Pkgdown/docs site:https://jhuwit.github.io
- acti_count_data - Example Actigraphy/Activity Count Data
Last updated from:ca03cb02cb. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 243 | ||
| source / vignettes | OK | 217 | ||
| linux-release | NOTE | 251 | ||
| macos-release | NOTE | 174 | ||
| macos-oldrel | NOTE | 176 | ||
| windows-devel | NOTE | 268 | ||
| windows-release | NOTE | 305 | ||
| windows-oldrel | NOTE | 259 | ||
| wasm-release | OK | 122 |
Exports:acti_apply_cole_kripkeacti_apply_sadehacti_apply_tudor_lockeacti_calculate_activity_indexacti_calculate_aiacti_calculate_ai_definedacti_calculate_aucacti_calculate_countsacti_calculate_enmoacti_calculate_fast_mimsacti_calculate_flagsacti_calculate_forestacti_calculate_madacti_calculate_measuresacti_calculate_mimsacti_calculate_n_idleacti_calculate_nonwearacti_calculate_sdtacti_calculate_stepcountacti_calculate_verisenseacti_calculate_wearacti_calibrateacti_processmims_default_extrapolationmims_default_filteringmims_default_interpolationmims_default_processingpy_acti_calculate_forestpy_acti_calculate_stepcount
Dependencies:actibaseactireadassertthatbitbit64bitopscellrangerclicliprcpp11crayondata.tabledigestdplyrgenericsGGIRreadglueherehmsjanitorjsonlitelatticelifecyclelubridatemagrittrMASSmatlabMatrixmatrixStatspillarpkgconfigpngprettyunitsprogresspurrrR.methodsS3R.ooR.utilsR6rappdirsRcppRcppTOMLread.gt3xreadrreadxlrematchreticulaterlangrprojrootsignalsnakecasestringistringrtibbletidyrtidyselecttimechangetzdbutf8vctrsvroomwalkingwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Process Count Data | acti_apply_cole_kripke acti_apply_sadeh acti_apply_tudor_locke acti_calculate_counts acti_calculate_nonwear acti_calculate_wear |
| Calculate Step Counts via Oak/Forest | acti_calculate_forest |
| Calculate Summary Measures from Raw Accelerometer Data | acti_calculate_activity_index acti_calculate_ai acti_calculate_ai_defined acti_calculate_auc acti_calculate_enmo acti_calculate_fast_mims acti_calculate_flags acti_calculate_mad acti_calculate_measures acti_calculate_mims acti_calculate_n_idle |
| Calculate Step Counts via Oak/Forest | acti_calculate_sdt |
| Calculate Step Counts via 'stepcount' | acti_calculate_stepcount |
| Calculate Step Counts via Verisense | acti_calculate_verisense |
| Calibrate Accelerometer Data using 'agcounts' | acti_calibrate |
| Example Actigraphy/Activity Count Data | acti_count_data |
| Process Raw data to Counts | acti_process |
| Default MIMS worker functions | mims_default_extrapolation mims_default_filtering mims_default_interpolation |
| Default MIMS Pre-processing | mims_default_processing |
| Perform step count calculation in a separate Python environment | py_acti_calculate_forest |
| Perform step count calculation in a separate Python environment | py_acti_calculate_stepcount |