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stepmetrics  

Calculate Step and Cadence Metrics from Wearable Data
View on CRAN: Click here


Download and install stepmetrics package within the R console
Install from CRAN:
install.packages("stepmetrics")

Install from Github:
library("remotes")
install_github("cran/stepmetrics")

Install by package version:
library("remotes")
install_version("stepmetrics", "1.0.3")



Attach the package and use:
library("stepmetrics")
Maintained by
Jairo H Migueles
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-30
Latest Update: 2025-09-30
Description:
Provides functions to calculate step- and cadence-based metrics from timestamped accelerometer and wearable device data. Supports CSV and AGD files from 'ActiGraph' devices, CSV files from 'Fitbit' devices, and step counts derived with R package 'GGIR' <https://github.com/wadpac/GGIR>, with automatic handling of epoch lengths from 1 to 60 seconds. Metrics include total steps, cadence peaks, minutes and steps in predefined cadence bands, and time and steps in moderate-to-vigorous physical activity (MVPA). Methods and thresholds are informed by the literature, e.g., Tudor-Locke and Rowe (2012) <doi:10.2165/11599170-000000000-00000>, Barreira et al. (2012) <doi:10.1249/MSS.0b013e318254f2a3>, and Tudor-Locke et al. (2018) <doi:10.1136/bjsports-2017-097628>. The package record is also available on Zenodo (2023) <doi:10.5281/zenodo.7858094>.
How to cite:
Jairo H Migueles (2025). stepmetrics: Calculate Step and Cadence Metrics from Wearable Data. R package version 1.0.3, https://cran.r-project.org/web/packages/stepmetrics. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.1 (2025-09-16 08:40)
Other packages that cited stepmetrics R package
View stepmetrics citation profile
Other R packages that stepmetrics depends, imports, suggests or enhances
Complete documentation for stepmetrics
Functions, R codes and Examples using the stepmetrics R package
Full stepmetrics package functions and examples
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