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actiplot

actiplot provides ggplot2 visualizations for minute-level activity data, including steps and activity counts. It works with the standardized timestamp conventions used throughout the activerse.

Example-data provenance

acti_minute_data is a processed minute-level recording drawn from the Figshare collection of upper-limb activity data from 20 myoelectric prosthesis users and 20 anatomically intact adults. Please cite the original data descriptor when using it: Chadwell A, Kenney L, Granat M, Thies S, Galpin A, and Head J (2019), Upper limb activity of twenty myoelectric prosthesis users and twenty healthy anatomically intact adults, Scientific Data 6, 199.

Core entry points:

• acti_plot_time() for a complete activity time series
• acti_plot_day() for time-of-day-aligned daily rows
• acti_plot_heatmap() for a date-by-time activity heat map

Installation

You can install actiplot from GitHub with:

# install.packages("remotes")
remotes::install_github("jhuwit/actiplot")

Quick start

activity <- acti_minute_data[seq_len(1440), ]

acti_plot_time(activity, counts, breaks = "4 hours")

acti_plot_day(activity, counts, breaks = "4 hours")

Daily facets can use a compact month-and-day label or baseline-relative day numbers: facet = "month-day" and facet = "day", respectively.

acti_plot_day(activity, counts, facet = "month-day")

acti_plot_day(activity, counts, facet = "day")

For a complete recording, x_axis = "12 hours" labels midnight and noon with both the date and a 12-hour clock. Use x_axis = "midnight" when a date-only label at midnight is preferred.

acti_plot_time(acti_minute_data, counts, x_axis = "12 hours")

acti_plot_time(acti_minute_data, counts, x_axis = "midnight")

acti_plot_day(acti_minute_data, counts, breaks = "4 hours")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.