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walkboutr
View on CRAN: Click
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Download and install walkboutr package within the R console
Install from CRAN:
install.packages("walkboutr")
Install from Github:
library("remotes")
install_github("cran/walkboutr")
Install by package version:
library("remotes")
install_version("walkboutr", "0.6.0")
Attach the package and use:
library("walkboutr")
Maintained by
Lauren Blair Wilner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.walkboutr . https://github.com/rwalkbout/walkboutr/issues . https://github.com/rwalkbout/walkboutr . https://rwalkbout.github.io/walkboutr/ . walkboutr results . walkboutr.pdf . walkboutr_0.6.0.tar.gz . walkboutr_0.6.0.zip . walkboutr_0.6.0.zip . walkboutr_0.6.0.zip . walkboutr_0.6.0.tgz . walkboutr_0.6.0.tgz . walkboutr_0.6.0.tgz . walkboutr_0.6.0.tgz . walkboutr archive . https://CRAN.R-project.org/package=walkboutr .
First Published: 2023-06-08
Latest Update: 2024-01-30
Description:
Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.
How to cite:
Lauren Blair Wilner (2023). walkboutr: Generate Walk Bouts from GPS and Accelerometry Data. R package version 0.6.0, https://cran.r-project.org/web/packages/walkboutr. Accessed 13 May. 2025.
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Complete documentation for walkboutr
Functions, R codes and Examples using
the walkboutr R package
Some associated functions: add_date_and_format . assign_epoch_start_time . collate_arguments . constants . evaluate_gps_completeness . generate_bout_category . generate_bout_plot . generate_bout_radius . generate_gps_data . generate_walking_in_seattle_gps_data . identify_bouts . identify_complete_days . identify_non_wearing_periods . identify_walk_bouts_in_gps_and_accelerometry_data . make_active_period . make_full_day_bout . make_full_day_bout_without_metadata . make_full_walk_bout_df . make_inactive_period . make_non_bout_window . make_smallest_bout . make_smallest_bout_window . make_smallest_bout_with_largest_inactive_period . make_smallest_bout_with_smallest_non_wearing_period . make_smallest_bout_without_metadata . make_smallest_complete_day_activity . make_smallest_nonwearing_window . next_lat_long . outlier_gps_points . parameters . pipe . process_accelerometry_counts_into_bouts . process_bouts_and_gps_epochs_into_walkbouts . process_gps_data_into_gps_epochs . run_length_encode . summarize_walk_bouts . validate_accelerometry_data . validate_gps_data . walkboutr-package .
Some associated R codes: identify_walk_bouts_in_gps_and_accelerometry_data.R . logo.R . parameters.R . plot.R . process_accelerometry_counts_into_bouts.R . process_bouts_and_gps_epochs_into_walkbouts.R . process_gps_data_into_gps_epochs.R . sample_data.R . utils-pipe.R . validate_accelerometry_data.R . walkboutr-package.R . Full walkboutr package functions and examples
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