Package: Athlytics 1.0.4
Athlytics: Academic R Package for Sports Physiology Analysis from Local 'Strava' Data
An open-source computational framework for longitudinal analysis of exercise physiology metrics using local 'Strava' data exports. Designed for personal analysis and sports science applications, this package provides standardized functions to calculate and visualize key physiological indicators including Acute:Chronic Workload Ratio (ACWR), Efficiency Factor (EF), and training load metrics.
Authors:
Athlytics_1.0.4.tar.gz
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Athlytics_1.0.4.tgz(r-4.6-any)Athlytics_1.0.4.tgz(r-4.5-any)
Athlytics_1.0.4.tar.gz(r-4.6-any)Athlytics_1.0.4.tar.gz(r-4.5-any)
Athlytics_1.0.4.tgz(r-4.5-emscripten)
Athlytics.pdf |Athlytics.html✨
Athlytics/json (API)
NEWS
| # Install 'Athlytics' in R: |
| install.packages('Athlytics', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org')) |
Reviews:rOpenSci Software Review #728
Bug tracker:https://github.com/ropensci/athlytics/issues
Pkgdown/docs site:https://ropensci.github.io
- sample_acwr - Sample ACWR Data for Athlytics
- sample_decoupling - Sample Aerobic Decoupling Data for Athlytics
- sample_ef - Sample Efficiency Factor (EF) Data for Athlytics
- sample_exposure - Sample Training Load Exposure Data for Athlytics
- sample_pbs - Sample Personal Bests (PBs) Data for Athlytics
activity-trackingacute-chronic-workload-ratioaerobic-decouplingcohort-analysisefficiency-factorendurance-trainingewmaexercise-physiologyggplot2gpx-tcx-fitrolling-averagesports-analyticstidyversetraining-loadtrimp
Last updated from:8e5e3ee80d (on main). Checks:10 OK. Indexed: no.
| Target | Result | Total time | Artifact |
|---|---|---|---|
| linux-devel-x86_64 | OK | 172 | |
| pkgdown docs | OK | 215 | |
| source / vignettes | OK | 194 | |
| linux-release-x86_64 | OK | 189 | |
| macos-devel-arm64 | OK | 150 | |
| macos-release-arm64 | OK | 119 | |
| windows-devel | OK | 160 | |
| windows-release | OK | 118 | |
| windows-oldrel | OK | 107 | |
| wasm-release | OK | 137 |
Exports:add_reference_bandsathlytics_palette_natureathlytics_palette_vibrantcalculate_acwrcalculate_acwr_ewmacalculate_cohort_referencecalculate_decouplingcalculate_efcalculate_ef_from_streamcalculate_exposurecalculate_pbscohort_referenceflag_qualityload_local_activitiesparse_activity_fileplot_acwrplot_acwr_comparisonplot_acwr_enhancedplot_decouplingplot_efplot_exposureplot_pbsplot_with_referencequality_summarysummarize_qualitytheme_athlytics
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrzoo
Advanced Features: EWMA, Quality Control, and Cohort Analysis
Rendered fromadvanced_features.Rmdusingknitr::rmarkdownon Feb 20 2026.Last update: 2026-02-07
Started: 2025-10-10
Getting Started with Athlytics
Rendered fromathlytics_introduction.Rmdusingknitr::rmarkdownon Feb 20 2026.Last update: 2026-02-20
Started: 2025-10-10
