| Time | Topic |
|---|---|
| 13:00 — 13:20 | Welcome to the course What to expect when learning R |
| 13:20 — 14:00 | What are R and RStudio? How does R compare to other languages? |
| 14:00 — 14:40 | Data types Objects and object assignment |
| 14:40 — 15:20 | Break and Practical 1 |
| 15:20 — 15:40 | Data frames Importing and exporting data |
| 15:40 — 16:10 | Subsetting |
| 16:10 — 16:40 | Break and Practical 2 |
| 16:40 — 16:55 | Using functions in R Writing your own functions |
| 16:55 — 17:00 | Wrap up and looking ahead |
Session 1 (“Beginner”)
This first session provides a gentle introduction to R for those new to the language. We’ll explore what makes R a widely-used tool for data analysis and how it compares to alternatives such as Python, Stata, and SPSS.
We’ll cover essential building blocks of the R language, including using the console, installing packages, writing scripts, and navigating help files. You will learn about how to handle different data types, such as missing values and factors, and techniques for subsetting objects. We’ll finish by taking a first look at using and creating functions in R.
Timetable
Lectures
Session recording
You can download the lecture recording from the HDR Futures page.
