RaukR • Course content

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Week 1

14-Jun-2021 (Mon)

• Introduction to RaukR 2021 (Marcin Kierczak)
  • Presentation
• Reproducible research (Roy Francis and Mun-Gwan Hong)
  • Presentation
  • Lab
• Best Coding Practises (Marcin Kierczak)
  • Presentation
  • Lab
• Functions & Scripts (Sebastian DiLorenzo)
  • Presentation
  • Lab

15-Jun-2021 (Tue)

• Debugging, Profiling and Optimization (Ashfaq Ali and Marcin Kierczak)
  • Presentation
  • Lab
• R Packages (Sebastian DiLorenzo)
  • Presentation
  • Lab

16-Jun-2021 (Wed)

• Object-oriented programming (Marcin Kierczak)
  • Presentation
  • Lab
• Vectorization (Marcin Kierczak)
  • Presentation
  • Lab
• Parallelisation (Sebastian DiLorenzo)
  • Presentation
  • Lab
• reticulate: Combining R with Python (Nina Norgren)
  • Presentation
  • Lab

17-Jun-2021 (Thu)

• Tidyverse (Marcin Kierczak)
  • Presentation
  • Lab
• ggplot: Beyond the Basics (Roy Francis)
  • Presentation
  • Lab
• Efficient iteration (Jenny Bryan, RStudio & UBC)
  • Presentation

18-Jun-2021 (Fri)

• Introduction to shiny apps (Roy Francis)
  • Presentation
  • Lab
• Tidymodels (Max Kuhn, RStudio)
  • Presentation

Week 2

• Group project
  • Instructions

21-Jun-2021 (Mon)

• RMarkdown (Christoph Dervieux, Yihui Xie, RStudio)
  • Presentation
  • RStudio Cloud project

22-Jun-2021 (Tue)

• Modeling Office hours (Max Kuhn, RStudio)
• Stats and ML (Nikolay Oskolkov)
  • Presentation
  • Lab

23-Jun-2021 (Wed)

24-Jun-2021 (Thu)

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2021 • NBIS