Tidyquintro course website

A 4 hour workshop with quick introduction to tidyverse.

Timeline

All parts (except first intro) come with small exercises and breaks between.

• Introduction to tidyverse concepts (15 minutes)

• Tidy data wrangling - with translations to base-R (~ 2 hours)

  • plotting data with ggplot2 (~25 min)
  • sub-setting data with dplyr (~25 min)
    
  • chaining commands with the pipe |> (~10 min)
    
  • adding and altering variables with dplyr (~25 min)

• Lunch break (30 min)

• Tidy data reshaping & summaries - avoiding loops (~ 1.5 hours)

  • pivoting data with tidyr (~25 min)
  • grouped summaries with dplyr (~25 min)
    
  • working with nested data using purrr (~25 min)

Who is this course intended for?

Amy is a third year psychology student preparing to work on her Bachelor’s thesis. At university she was taught to use a point and click analysis software (SPSS), but was recommended by her supervisor to learn R to create a more transparent and flexible way of working. She needs to use R in managing and analysing the data for her Bachelor’s thesis, and has never worked with actual data (as opposed to curated class data for teaching purposes). Amy feels a little intimidated by the command-line and scripting nature of R, but is eager to learn something new. She hopes that the skills she learns will also make her a more attractive job applicant once her studies are over. Amy benefits from a teaching style that is hands-on and descriptive, with ample opportunity to ask for clarifications interactively.