R-basics

A lab/workshop is interactive -> should ideally result in some OUTCOME that is student-created.

A tutorial can be pre-recorded -> A presentation can be recorded -> Slide decks

Content

Lab 1: Make a figure

• Using RStudio server to create a graph.

Outcome: A pdf of including a figure

Lab 2: Basic building blocks of R

• Syntax
• Objects, vectors,
• Shortcuts (e.g. Ctrl+Shift+M)
• Tidy data

Lab 3: Git and Github

• Basics, fork, pull requests etc.

Outcome: Create/respond to a pull-request

Lab 4: Data transformation

• Import data
• Filter, arrange, joins, etc.

Lab 5: Creating summaries (and tables)

• Wrangle data
• group_by/summarise
• Tables in Rmarkdown (knitr/kable, flextable, gt...)

Outcome: A rendered RMarkdown file (html/word/pdf)

Lab 6: Scripts, sources, RMarkdown and Quarto (organizing a Project)

• Writing a report in R combining data and Rmarkdown/quarto + scripts

Outcome: A working github repository arranged as a R Project

Lab 7: Doing an analysis (exploratory analysis)

• Reproducible analyses

Lab 8: Relational data

• Combining data tables with common keys

Lab 9: Advanced visualization problems

• Combine strings, factors and date/time data into a plot

Lab 10: Creating functions (and packages)

Lab 11: Loops and iterations