This repository contains the code and synthetic datasets required to reproduce all analyses reported in Global well-being and mental health in the internet age (Vuorre & Przybylski).

• Preprint
  • A publicly available version of our manuscript in advance of peer-review and formal publication
• GitHub repository
  • A version controlled repository containing all the raw data and code in this project
• 
  • An archived permanent copy of the GitHub repository

The analyses were conducted in R; steps to reproduce are

1. Clone the github repo

• Terminal: git clone https://github.com/digital-wellbeing/global-wbmh.git
  OR
• RStudio: File -> New Project -> Version Control -> Git -> use the URL from above

2. Prepare the R environment

• Terminal: Rscript -e "renv::restore()"
  OR
• RStudio: Click renv -> Restore Library in the Packages panel

3. Render the source file ms.Rmd

• Terminal: Rscript -e 'rmarkdown::render("ms.Rmd")'
  OR
• RStudio: Open the file and click Knit/Render

If you encounter problems, please open an issue.

The project repo includes the GBD dataset, code to download the ITU dataset (internet; mobile), and a synthetic mock version of the GWP dataset to enable reproducing all our computations. The models take several hours/days each to run---depending on your local computing resources---and therefore the rendering process can take several days. For this reason, the build will fail after having cleaned the data. Then, run models.R with settings specific to your environment/cluster. Once that is done you can render the source file again and it should work.