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/.