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activAnalyzer
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-20
Latest Update: 2023-02-13
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 06 Nov. 2024.
Previous versions and publish date:
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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
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