LightLogR, an open-source R package for the analysis of personal light exposure data
Introducing LightLogR, an open-source R package for the analysis of personal light exposure data
Light exposure significantly influences many aspects of human physiology and behaviour, including the entrainment of circadian rhythms, the production of melatonin in the evening and at night and the development of myopia. Wearable light loggers enable the measurement and estimation of light exposure received by a person, but the resulting time series need to be analyzed to turn data into insights for research and clinical practice.
Introducing LightLogR, an open-source R package for the analysis of personal light exposure data.
LightLogR implements the following features:
Generation of data and metadata files
Conversion of common file formats
Validation of light logging data
Verification of crucial metadata
Calculation of common parameters
Semi-automated analysis and visualization (both command-line and GUI-based)
Integration of data into a unified database for cross-study analyses
LightLogR is licensed under the GPL-3.0 license. The codebase is available from GitHub: https://github.com/tscnlab/LightLogR
Current version: 0.3.7 ("Astronomical dawn")
Documentation: https://tscnlab.github.io/LightLogR/
Code: https://github.com/tscnlab/LightLogR
LightLogR is developed by the Translational Sensory & Circadian Neuroscience Unit (MPS/TUM/TUMCREATE), a joint group based at the Technical University of Munich, TUMCREATE, the Max Planck Institute for Biological Cybernetics.
Community involvement
Interested in contributing – ideas, feedback, new feature requests, or code?
Please get in touch via email (johannes.zauner@tum.de) and complete our LightLogR Community Development Survey (and win a prize!).
Funding
LightLogR is developed within the EURAMET-funded project MeLiDos project. To learn more about MeLiDos, read our recent overview article or visit the MeLiDos website at https://melidos.eu/.