Introduction to The Workflowr R Package A Framework For Reproducible And Collaborative Data Science

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The Workflowr R Package A Framework For Reproducible And Collaborative Data Science Comprehensive Overview

This webinar promotes Why John Blischak discusses the NOTE: We now recommend using the SSH address for the GitHub repository, due to changes in the authentication for HTTPS.

Ryan Metcalf presents Chapter 4 ("

Summary & Highlights for The Workflowr R Package A Framework For Reproducible And Collaborative Data Science

  • In this video, I introduce using the
  • This extended introduction to WORCS, with attention to new developments in version 0.1.8 (February 2021) was recorded for a ...
  • In July 2020
  • In this meetup, Vebashini Naidoo (https://www.linkedin.com/in/vebashini-naidoo-4260a96a/) and Inger Fabris-Rotelli ...
  • Reproducible science

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