Learn R

2.1 - Data wrangling

• Notes and code examples
• Slides

2.2 - Forks in the road: if_else + case_when

• Notes and code examples
• Slides

2.3 - Simmer it down: Summarize the data

• Notes and code examples
• Slides

Exercise Day

• AGENDA
• Exercise 1 - Describe penguin populations
• Exercise 2 - Guess Who! Hint: I’m a penguin

3.1 - ggplot: A grammar of graphics

• Notes and code examples
• Slides

3.2 - ggplot: Facets, colors, and labels

• Notes and code examples
• Slides

Exercise Day

• Exercise 1 - ggplot
• Exercise 2 - ggplot: The remix

4.1 - Maps: GIS and Coordinate reference systems (CRS)

• Notes and code examples

4.2 - Points, Lines, and Polygons

• Notes and code examples

4.3 - sf is so awesome

• Notes and code examples

4.4 - sf spatial analysis (Part 2)

• Notes and code examples

Exercise Day

• Exercise 1 - Homeward bound
• Exercise 2 - Healthy forests

5.1 - Dataframe SMASH: Joining tables

• Notes and code examples
• Slides

5.2 - lubridate: Date and time travel

• Notes and code examples
• Slides

Exercise Day

• Exercise 1 - Joins: A fishy dinner
• Exercise 2 - Date mischief with heat

6.1 - Pivoting data: Wide & long format

• Slides

6.2 - Tutorial: Reports in R (from our Posit friends)

Download the Quarto file and follow along with the Get started video from the Tutorial below.

• Download the Quarto file
• Tutorial: Hello, Quarto!

Exercise Day

• Download: my_report.qmd

1 - Markdown crash course

2 - Quarto documents

Join the community

Join us at our weekly Tidy Tuesday meeting on Teams: MN R users

Continue learning

Here’s a collection of our favorite resources created by the global R community.

Stats

• Regression and Linear Models lab (20 min)
  • Notes - Download the Quarto.qmd
• Statistics with Teacup Giraffes

Plots

• Annotate with text and colors (33 min)
• Make aRt with ggplot (35 min)
• Take a sad plot and make it… (54 min)

Exploratory analysis

• Maps: Squirrels in New York (1 hr)
• Survey results: Thanksgiving dinner (1 hr)
• Survey results: Multiple choice and intro to purrr (40 min)
• Bob Ross paintings (1 hr)

Tidyverse

• 10 tidyverse tricks (20 min)

Courses

These Coursera courses are FREE to audit, you do not need to give them money.

• John Hopkins: Reproducible research in R

For the EPI’s in the room

• The Epidemiologist R Handbook