Introduction to R
Pre-Workshop To-Do List
👋 Welcome to the Introduction to R Workshop!
Hi! My name is Sebastian Ramirez-Ruiz, and I’ll be your instructor.
This course provides a hands-on introduction to data analysis using
R
and RStudio. We’ll begin with the basics—exploring the R interface, working with objects and data structures, and importing data. From there, we’ll dive into the tidyverse, a powerful collection of R packages designed for data science.Topics include data wrangling with
dplyr
, reshaping data withtidyr
, writing functions, and creating visualizations withggplot2
. Throughout, we’ll also touch on best practices for writing clean R code and organizing analysis projects.No prior experience with R is required—just curiosity and a willingness to learn through practice!
🗓 Workshop Details
📍 Location: Online via Zoom 🕘 Date & Time: Monday, August 4, 9:00–13:00 (CEST)
🧭 What to Expect
The workshop is divided into two parts:
Part 1: Getting Started with R & RStudio
We’ll cover the basics—object types, data structures, and good practices for writing and organizing code in R and RMarkdown.Part 2: Working with the tidyverse You’ll learn how to manipulate and reshape data using
dplyr
andtidyr
, iterate withpurrr
, and create basic plots withggplot2
.
💡 While the workshop is beginner-friendly, more experienced R users will still benefit from a structured review and new tools.
Things to do before we meet
1. Ensure that your software is up-to-date
1.1 Install

you need to download R
. Find below the install links
depending on your operating system:
1.2 Install

Next, download and install RStudio, the interface we will use to write and run R code.
🖥 RStudio makes it easier to write, run, and organize your R code in projects.
You can download the latest version of RStudio
(2025.05.1+513
) here:
💡 If you already have RStudio installed: Please make sure it’s up to date—preferably a version released in 2024 or later.
2. Download the workshop materials 🚧💾
Please download the workshop files from this Dropbox folder.
The link will download a .zip
file containing everything
you’ll need. Once it’s downloaded, unzip the file and
place the folder somewhere easy to access (like your desktop or
documents folder).
That’s it—you’re all set!
Looking forward to seeing you on Monday. 👋