May 15, 2025, already at 3pm | Write R code that lasts: Practical tips for reproducible data analysis
Do your R projects sometimes get messy, your scripts grow out of control, or your results are hard to reproduce?
In this lecture, I’ll share practical tips for setting up clean, maintainable, and reproducible data analysis workflows. We’ll cover how to structure projects, organize scripts, write good-practice code, and manage dependencies effectively.
The focus is on realistic practices that make your code easier for others — and your future self — to understand and reuse.
While the examples will use R, many of the tips apply to anyone doing data analysis, also in other languages.
Whether you’re just starting out or already experienced with R, this session will help you build better habits for writing clean, reusable code.
When? Thursday May 15, this time already from 3-4 p.m.
Meeting link:
https://fu-berlin.webex.com/fu-berlin-en/j.php?MTID=m864190b7a20f3bfc9c5e7b90fdb8b923
Meeting number:
2785 728 8150
Meeting password:
PUtt2rMjv24
Join from a video system or application
Dial 27857288150@fu-berlin.webex.com
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Meeting password for video system
78882765
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+49-619-6781-9736 Charged call
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78882765