In the MeLiDos field study, personal light exposure data were collected in 9 sites, 7 countries, and 196 participants following the Guidolin et al. (2024) <doi:10.1186/s12889-024-20206-4> protocol. Data originate from wearable devices collecting personal light exposure at the eye level, chest, and the wrist. Questionnaires were collected via 'REDCap' and contain demographic information as well as chronotype, current conditions, sleep diaries, wear logs, and many more. This package makes loading the data from the respective repositories (<https://github.com/MeLiDosProject>) into R a breeze. It further contains some quality of life functions for label handling and data from 'REDCap'.
Package details |
|
|---|---|
| Author | Johannes Zauner [aut, cre] (ORCID: <https://orcid.org/0000-0003-2171-4566>), Manuel Spitschan [aut] (ORCID: <https://orcid.org/0000-0002-8572-9268>), European Partnership on Metrology [fnd] (The project (22NRM05 MeLiDos) has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme, EURAMET, and the Participating States. Views and opinions expressed are those of the authors and do not necessarily reflect those of the European Union or EURAMET.), Translational Sensory and Circadian Neuroscience Unit (MPS/TUM/TUMCREATE) [cph] (URL: www.tscnlab.org) |
| Maintainer | Johannes Zauner <johannes.zauner@tum.de> |
| License | MIT + file LICENSE |
| Version | 1.0.6 |
| URL | https://melidosproject.github.io/melidosData/ https://github.com/MeLiDosProject/melidosData https://github.com/MeLiDosProject |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.