Other packages > Find by keyword >

walkboutr  

Generate Walk Bouts from GPS and Accelerometry Data
View on CRAN: Click here


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]
All associated links for this package
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 22 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:59), 0.1.0 (2023-06-08 19:30), 0.2.0 (2023-09-23 01:50), 0.3.0 (2023-10-09 19:20), 0.4.0 (2023-10-14 00:20), 0.5.0 (2024-01-12 23:20)
Other packages that cited walkboutr R package
View walkboutr citation profile
Other R packages that walkboutr depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cnum  
Chinese Numerals Processing
Chinese numerals processing in R, such as conversion between Chinese numerals and Arabic numerals a ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
spider  
Species Identity and Evolution in R
Analysis of species limits and DNA barcoding data. Included are functions for generating important s ...
Download / Learn more Package Citations See dependency  
jointseg  
Joint Segmentation of Multivariate (Copy Number) Signals
Methods for fast segmentation of multivariate signals into piecewise constant profiles and for gene ...
Download / Learn more Package Citations See dependency  
Countr  
Flexible Univariate Count Models Based on Renewal Processes
Flexible univariate count models based on renewal processes. The models may include covariates and ...
Download / Learn more Package Citations See dependency  
heatmaply  
Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA