Related Experiment Video
Updated: Jun 24, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
acc: An R package to process, visualize, and analyze accelerometer data
Jaejoon Song1, Michael D Swartz2, Karen Basen-Engquist3
1Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Abstract:
Wearable activity monitors are now widely used in behavioral and epidemiological studies to measure physical activity in free-living conditions. Despite the widespread use in research, the development of software to explore the data collected from these devices has been limited. We present acc, a comprehensive, free, and open-source R package to provide a seamless environment for exploring accelerometer data (https://cran.r-project.org/web/packages/acc). In this article, we demonstrate the software for processing, visualizing, and analyzing accelerometer data using real and simulated datasets.
Related Concept Videos
Introduction to R
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
Mass Analyzers: Overview
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Statistical Software for Data Analysis and Clinical Trials

