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{yHat} - Reproducible Work in R

Metadata

  • Author: rsangole.netlify.app
  • Full Title: {yHat} - Reproducible Work in R
  • Category: #Type/Highlight/Article
  • URL: https://rsangole.netlify.app/post/2020/10/10/reproducible-work-in-r/

Highlights

  • Solution In my experience, the solution I’ve outlined below offers me an excellent approach for long term reproducibility and code stability: Lock down your R package versions using MRAN snapshots Lock down your working environment using a Docker image Do all your development within Docker containers Accompany all projects with a Docker image This has worked so well that I haven’t bothered using R/Rstudio on my local machine in well over half a year now. (View Highlight)