Basic R

Learning outcomes

• Comfortable with the second chapter of R for Data Science
• Comfortable with using the swirl package
• Can assign a value to a variable
• Can tell what snake case is
• Can write a comment
• Can correct typos in simple code

For teachers

Teaching goals are:

• Learners have read part the second chapter of R for Data Science

Prior question:

• What is R?
• What is RStudio?
• What is a variable?
• What is an assignment?
• What is an assignment operator?
• How does it look like?
• What is a comment?
• Why use a comment?
• What is meant with 'snake case'?
• What is an interpreter?

Feedback questions:

• What is a variable?
• How does the assignment operator look like?
• Why use a comment?
• What is meant with 'snake case'?
• What is an interpreter?

Why basic R is important

Basic R applies to all programming in R.

Exercises

Exercise 1

• Read R for data science, chapter 2 until the exercises of 2.5.
• Do these exercises

Answers

See the answers here.

Note that the answers use chapter 3.5.

Exercise 2

• Install the swirl R package

Answer

install.packages("swirl")

• Load the `swirl package

Answer

library(swirl)

This will show:

| Hi! Type swirl() when you are ready to begin.

• Start the `swirl package. Tip: you've gotten a hint in the previous step

Answer

swirl()

• Give your name
• Pick the R Programming course
• Pick the 1: Basic Building Blocks lesson
• Complete it