• Recommended: Post your problem and drag a screenshot image of what you have tried to the #general channel on Slack.
• If you know the answer to a question there, please attempt to answer it. It will help you learn!
• Send me a private message on Slack (@chester)
• Discuss your problems with the tutors in person
• Last resort, send the tutors a private message on Slack

• You won't retain any of the material covered
• You or someone else pays good money for you to get a good education here
• I want to do everything in my power to help you learn this material as I see it as THE MOST IMPORTANT class you can take as an undergraduate.
• You have many misconceptions about how you learn best. That's not your fault, but habits must be broken.
• Can we build muscles sitting on the couch?

• Because I enjoy partaking in Schadenfreude

• R is free, R improves, R has been around for a long time
• You can show what you have learned to a potential employer easily
• I want to prepare you for the real world as best as I can and make you more employable than your competitors

• R will save you TONS of time in the long run. Long term thinking is key.

• You can easily tweak your code if you need to do another analysis
• Good luck trying to remember what drop-down menu some thing is in two years from now in a different program

Operators

• <-
• []
• [ , ]
• $ (VERY IMPORTANT)
• :
• <, >, <=, >=
• ==, !=
• ?

Functions

• names()
• c()
• sum()
• mean()
• factor()
  • factor( , order = TRUE, levels = c( , , ))
• str()
• str() tibble::glimpse()

• Advice from former students

• Practice!

• Pass your multiple choice questions to someone else in your group
  • Take the "quiz" with no notes
  • Discuss your answers with your group
  • Take another "quiz"
  • Rinse and repeat

• Study for Quiz #1 on Thursday, February 9 using the strategies laid out
  • The quiz will cover the Introduction to R DataCamp course
• Review the Learning Strategies given here and commit to using them to succeed in learning
• Complete DataCamp profile
• Read Chapter 3 of ModernDive
  • As you read attempt the Learning Checks for understanding
• Begin work on Applying R Basics DataCamp chapter (Due on February 14 at 1 PM)

(Half sheet of paper is fine. Share with your neighbor.)

• What are the big take-aways for you from class today?
• What questions do you have about the course? About the material you've learned so far?