[visionlist] LightLogR: an open-source R package for the analysis of personal light exposure data

[Manuel Spitschan]

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 behavior, 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 analyzing 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 at 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/. 

 

 

 

 

Manuel Spitschan PhD

 

Assistant Professor for Chronobiology and Health

Technical University of Munich
TUM School of Medicine and Health

TUM-IAS Fellow

Telephone: +49 (89) 289 24544

manuel.spitschan at tum.de

https://www.sg.tum.de/en/chronobiology/home/

 

TUMCREATE Principal Investigator

TUMCREATE Singapore

https://www.tum-create.edu.sg/ 

 

Max Planck Research Group Leader

Max Planck Institute for Biological Cybernetics

Max Planck Research Group Translational Sensory & Circadian Neuroscience

manuel.spitschan at tuebingen.mpg.de

https://www.kyb.tuebingen.mpg.de/614159/translational-sensory-and-circadian-neuroscience

 

Website: https://tscnlab.org/

Twitter: @mspitschan

Google Scholar: https://scholar.google.com/citations?user=BXbgAZIAAAAJ

 

Listen to our new podcast Light O’Clock!

 

My workday may look different than your workday. Please do not feel obligated to respond outside of your normal working hours.

 

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