LightLogR

LightLogR standardises the import, processing, validation, and visualisation of personal light exposure measurement data from wearable light loggers and optical radiation dosimeters.

Key Features:

• Data Import: Imports data and metadata files and converts common file formats for personal light exposure measurements.
• Data Validation: Validates light logging data and verifies crucial metadata to ensure data quality.
• Metric Calculation: Calculates 61 metrics across 17 metric families commonly used in the field of light exposure research.
• Data Visualisation: Provides summary and visualisation tools for quick as well as detailed insights into datasets.
• Semi-automated Analysis: Supports semi-automated analysis workflows for personal light exposure data.
• Hierarchical Data Structure: Embraces an inherently hierarchical, participant-based data structure for organising data.

Scientific Applications:

• Real-world Light Exposure Studies: Facilitates the study of effects of personal light exposure in real-world settings measured by wearable devices.
• Light-Health Association Research: Supports studies assessing associations between light exposure and health outcomes.
• Cross-study Comparison: Enables standardisation to improve comparability of outcomes between different studies in the field.
• Complex Time Series Analysis: Handles time series data from wearable light loggers that are significantly more complex than controlled laboratory stimuli.

Methodology:

The package implements import and processing of personal light exposure data, validation and verification procedures, calculation of 61 metrics across 17 metric families, and semi-automated analysis with visualisation tools.