Club meetings

Welcome

• Welcome to the Advanced R book club!
• book: adv-r.hadley.nz
• These slides are available at dslc.io/advr.
• We follow the Data Science Learning Community Code of Conduct.

• You can add notes on each slide with blocks like this!
• Load a deck in the browser and type “s” to see these notes.

Book club meetings

• Volunteer leads discussion of a chapter
  • This is the best way to learn the material.
• Presentations:
  • Review of material
  • Questions you have
  • Maybe live demo
• More info about editing: this github repo
• Ideally convert existing Rmd to qmd as we go
• Recorded, available on the Data Science Learning Community YouTube Channel (DSLC.video)

Pace

• Goal: 1 chapter/week
• Ok to split overwhelming chapters
• Ok to combine short chapters
• Meet every week except holidays, etc
  • We will meet even if scheduled presenter unavailable
  • Push to finish before Daylight Savings Madness March 8

Learning objectives (LOs)

• Students who study with LOs in mind retain more
• Tips:
  • Think “After today’s session, you will be able to {LO}”
  • Very roughly 1 per heading

Group introductions

• If you feel comfortable sharing:
  • Who are you?
  • Where you calling in from? (If you’re not comfortable sharing, skip)
  • How long have you been using R?
  • What was your introduction to R?
  • What are you most looking forward to during the club?