RaukR 2019 • Course content

Course materials are listed below. (The GitHub repo for RaukR 2019 can be accessed by teachers here.)

Link to Jennys Bryan, RStudio, lectures

http://rstd.io/raukr

Week 1

10-Jun-2019 (Mon)

• Introduction to RaukR 2019 (Author: Marcin Kierczak)
  • Presentation
• Reproducible research (Author: Roy Francis, Reviewer: Marcin Kierczak)
  • Presentation
  • Lab
• Best Coding Practises (Author: Marcin Kierczak, Reviewer: Roy Francis)
  • Presentation
  • Lab

11-Jun-2019 (Tue)

• Functions & Scripts (Author: Sebastian DiLorenzo)
  • Presentation
  • Lab
• R Packages (Author: Sebastian DiLorenzo)
  • Presentation
  • Lab

12-Jun-2019 (Wed)

• Tidyverse (Author: Marcin Kierczak)
  • Presentation
  • Lab

13-Jun-2019 (Thu)

• ggplot (Author: Roy Francis, Reviewer: Marcin Kierczak)
  • Presentation
  • Lab
• ggmap (Author: Sebastian DiLorenzo)
  • Presentation
  • Lab
  • Data

14-Jun-2019 (Fri)

• shiny (Author: Roy Francis, Reviewer: Marcin Kierczak)
  • Presentation
  • Lab
• object-oriented programming (Author: Marcin Kierczak)
  • Presentation
  • Lab

Week 2

17-Jun-2019 (Mon)

• Basic statistics – Models (Author: Bengt Sennblad)
  • Presentation
  • Lab
• Basic statistics – Model estimation
  • Tutorial
• Advanced Statistics
  • Presentation
  • Lab
  • Data (right-click/ctrl-click and choose download)

18-Jun-2019 (Tue)

• Machine Learning (Author: Nikolay Oskolkov)
  • Presentation
  • Lab

19-Jun-2019 (Wed)

• Group Project – Exploring Data (Authors: Sebastian DiLorenzo & Marcin Kierczak)
  • Instructions

20-Jun-2019 (Thu)

2019 • NBIS