Statistisches Programmieren mit R: Eine ausführliche, übersichtliche, spannende und praxiserprobte Einführung

Build a Solid Foundation in R — auf Deutsch

Learning R can feel like wandering through a maze of packages and functions, especially when many resources rush you past the fundamentals. Statistisches Programmieren mit R takes a different path. This German-language ebook, written by experienced University of Vienna lecturers Daniel Obszelka and Andreas Baierl, focuses on the core of R—Base R—so you develop durable problem-solving skills rather than memorizing temporary tricks.

Why This Approach Works 🎯

The authors believe sustainable knowledge matters more than fleeting shortcuts. Instead of relying on packages that may change, you’ll learn to solve a wide range of statistical problems using R’s foundational tools. This prepares you to confidently explore newer packages on your own, with the solid grounding needed to adapt as the language evolves.

Learn Through Real, Enjoyable Examples 🎲

The book brings concepts to life with examples drawn from everyday situations: card games, dice games, minigolf, lotteries, and even pizza cards. These scenarios keep the material engaging while demonstrating how programming thinking applies beyond abstract exercises. You’ll also encounter deliberate challenges and subtle errors that train you to read code carefully and think critically.

What’s Inside

• From zero to confident R user: The chapters start at the very beginning and build progressively, so no prior programming experience is required.
• Problem-solving focus: Learn to combine R’s building blocks into effective programs, with an emphasis on creativity and logical thinking.
• Data science and statistics in practice: The later parts delve into applying R for real statistical work, drawing on the authors’ extensive teaching experience.
• Guiding examples and questions: Each chapter includes a lead example and questions that are answered as you progress, giving the book a narrative feel.

Who Will Benefit?

This ebook suits both complete beginners and readers who already know another programming language and want to add R to their toolkit. It’s particularly suited to students, researchers, and professionals who need reliable statistical analysis skills. The clear structure and comprehensive function index also make it a useful reference after your first read.

About the Authors

Daniel Obszelka and Andreas Baierl have taught statistical programming with R at the University of Vienna for many years. Their teaching approach, refined with feedback from over 200 students, earned them the University of Vienna Teaching Award in 2017. The book has been shaped by real classroom experience, ensuring concepts are explained with clarity and depth.

Get Your Copy Today 📚

If you’re ready to master R from the ground up with a resource that values understanding over rote learning, this ebook is an excellent choice. Add it to your Digital Delights library and start your journey into statistical programming with confidence.