This session is aimed at researchers with basic programming experience. Develop your R skills and learn the tools to write reliable, sharable, and reproducible R code

In this two day workshop, we build your basic/intermediate knowledge of R (or another programming language) and give you the tools to handle everyday challenges when writing R code for research. We will discuss some essential aspects of best practices in code development, such as data cleaning, documentation, version control and dependency management. This will allow others (and most importantly yourself) to seamlessly reproduce and reuse your code.

Type of instruction: In-person

Target group:
Researchers at any level (PhD candidate and professor of any level). Unfortunately, we can't offer this course to student assistants. If you are non-academic staff and would like to participate, please reach out to us to discuss.

Course load:
2 days on campus sessions from 13:00 - 17:00 hrs.

Dates:
February 4th and 6th 2025

Preparation:
This is an intermediate course, so basic R knowledge is required. While there is no mandatory preparation, we highly recommend you follow extracts from the “Whole Game” section from the excellent book R for Data Science (2e) before taking this course. 
https://r4ds.hadley.nz/whole-game

Working through sections 1-4 and section 6 will give you experience in the skills we will be building on and the confidence to participate fully in the workshop.

What to bring:

• Bring your own laptop and a charger. Windows is preferred.
• We will send out instructions on how to prepare and set up your computer shortly before the course.

Lecturers and course helpers: 

• Kars Wijnhoven (RDO, DRS)
• Tiernan O'Sullivan (LIS)
• Edoardo Costantini (RDO)
• Shekhar Narayanan (TSB-RST) 
• Stefan Kirsch (TSB-RST)

Instruction language: English