A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data


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Documentation for package ‘activAnalyzer’ version 1.0.4

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average_results Average results over valid days
compute_bmr Compute Basal Metabolic Rate (BMR)
compute_mets Compute metabolic equivalent of task (MET) values
compute_pro_actigraph_score Compute PROactive monitor-based physical activity score for C-PPAC tool
compute_pro_score_cppac Provide score for each question of the C-PPAC
compute_pro_score_dppac Provide score for each question of the D-PPAC
create_fig_mvpa Create a figure showing the mean daily MVPA time
create_fig_pal Create a figure showing the mean daily Physical Activity Level (PAL)
create_fig_ratio_mvpa_sed Create a figure showing the mean daily MVPA/SED ratio
create_fig_res_by_day Create a figure with metrics shown for each day
create_fig_sed Create a figure showing the mean daily sedentary (SED) time
create_fig_steps Create a figure showing the mean daily step count
create_flextable_summary Create a formatted table of results
get_guidelines_status Get WHO physical activity guidelines status
get_pal_status Get FAO physical activity level (PAL) status (http://www.fao.org/3/y5686e/y5686e07.htm#bm07.3)
get_ratio_mvpa_sed_comment Get comment about the MPVA/SED ratio
mark_intensity Add intensity metrics
mark_wear_time Mark dataset for nonwear/wear time
plot_data Plot accelerometer data for each day
plot_data_with_intensity Plot accelerometer data for each day with both nonwear time and physical activity intensity categories
prepare_dataset Prepare accelerometer data
rasch_transform Compute Rasch transformation for PROactive scores
read_agd Read activity counts from an *.agd file
read_agd_raw Read an *.agd file, with no post-processing
recap_by_day Summarize results by day
run_app Run the Shiny Application
tbl_agd A 'tibble' of activity data exported by an ActiGraph device