Introduction to R

Learning Objectives

• R syntax: Familiarize the basic syntax and the use of Rstudio.
• Data types and data structures: Describe frequently-used data types and data structures in R.
• Data inspection and wrangling: Demonstrate the utilization of functions and indices to inspect and subset data from various data structures.
• Data visualization: Apply the ggplot2 package to create plots for data visualization.

Installations

1. R (version 4.4.0 or later)

2. RStudio

Lessons

1. Introduction to R and RStudio
2. R Syntax and Data Structure
3. Functions and Arguments
4. Reading in and inspecting data
5. Custom functions exercises
6. Data Wrangling: Subsetting Vectors and Factors
7. Packages and libraries
8. Data wrangling: data frames, matrices and lists
9. The %in% operator
10. Setting up a data frame to plot (+ the map() function)
11. Data wrangling exercises
12. Plotting with the ggplot2 package
13. Using custom functions for consistent plots
14. Generating a boxplot with ggplot2
15. Writing to file and exporting plots
16. Finding help
17. Tidyverse
18. Tidyverse and Data visualization exercises

Final Exercises

• Exercises + Answer Key

Building on the basic R knowledge

• DGE workshop
• Single-cell RNA-seq workshop
• RMarkdown
• Quarto
• Functional analysis
• More ggplot2
• ggplot2 cookbook
• Running R and Rstudio on O2

Resources

• All hbctraining materials

Cheatsheets

• base R cheatsheet
• RStudio cheatsheet
• ggplot2 cheatsheet