Other packages > Find by keyword >

activAnalyzer  

A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("activAnalyzer", "2.1.2")



Attach the package and use:
library("activAnalyzer")
Maintained by
Pierre-Yves de Müllenheim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-20
Latest Update: 2024-09-23
Description:
A tool to analyse 'ActiGraph' accelerometer data and to implement the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis is completed, the app allows to export results to .csv files and to generate a report of the measurement. All the configured inputs relevant for interpreting the results are recorded in the report. In addition to the existing 'R' packages that are fully integrated with the app, the app uses some functions from the 'actigraph.sleepr' package developed by Petkova (2021) .
How to cite:
Pierre-Yves de Müllenheim (2022). activAnalyzer: A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data. R package version 2.1.2, https://cran.r-project.org/web/packages/activAnalyzer. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 1.0.4 (2022-07-20 19:20), 1.0.5 (2022-10-12 16:42), 1.1.0 (2022-12-02 11:40), 2.0.0 (2023-01-31 23:50), 2.0.1 (2023-02-13 10:50), 2.0.2 (2024-01-09 00:10), 2.1.0 (2024-04-26 23:50), 2.1.1 (2024-05-06 00:40)
Other packages that cited activAnalyzer R package
View activAnalyzer citation profile
Other R packages that activAnalyzer depends, imports, suggests or enhances
Complete documentation for activAnalyzer
Functions, R codes and Examples using the activAnalyzer R package
Some associated functions: average_results . compute_accumulation_metrics . compute_bmr . compute_intensity_distri_metrics . compute_mets . compute_pro_actigraph_score . compute_pro_score_cppac . compute_pro_score_dppac . create_fig_mvpa . create_fig_mx_by_day . create_fig_mx_summary . create_fig_pal . create_fig_ratio_mvpa_sed . create_fig_res_by_day . create_fig_sed . create_fig_steps . create_flextable_summary . do_all_analyses . get_guidelines_status . get_ig_results . get_pa_period_info . get_pal_status . get_ratio_mvpa_sed_comment . mark_intensity . mark_wear_time . plot_data . plot_data_with_intensity . prepare_dataset . rasch_transform . read_agd . read_agd_raw . recap_by_day . run_app . tbl_agd . 
Some associated R codes: app_config.R . app_server.R . app_ui.R . average_results.R . compute_accumulation_metrics.R . compute_bmr.R . compute_intensity_distri_metrics.R . compute_mets.R . compute_pro_actigraph_score.R . compute_pro_score_cppac.R . compute_pro_score_dppac.R . config_dplyr.R . coord_radar.R . create_fig_mvpa.R . create_fig_mx_by_day.R . create_fig_mx_summary.R . create_fig_pal.R . create_fig_ratio_mvpa_sed.R . create_fig_res_by_day.R . create_fig_sed.R . create_fig_steps.R . create_flextable_summary.R . do_all_analyses.R . get_guidelines_status.R . get_ig_results.R . get_pa_period_info.R . get_pal_status.R . get_ratio_mvpa_sed_comment.R . global.R . globals.R . golem_utils_server.R . golem_utils_ui.R . mark_intensity.R . mark_wear_time.R . mod_control_pa_period_view.R . mod_report_pa_period.R . plot_data.R . plot_data_with_intensity.R . prepare_dataset.R . rasch_transform.R . read_agd.R . recap_by_day.R . run_app.R . settings.R . tbl_agd.R .  Full activAnalyzer package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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