Data Analysis with RStudio: An Easygoing Introduction - Softcover

Kronthaler, Franz; Zöllner, Silke

Softcover

ISBN 10: 3662732432 ISBN 13: 9783662732434

Publisher: Springer, 2026

Synopsis

This book introduces RStudio for practitioners and students and enables them to use R confidently in everyday work. It is not a statistics textbook; its aim is to share the joy of analysing data with R. Readers learn how to install and use RStudio, import data, write and run scripts, and save their work. They also learn how to apply descriptive statistics and create informative graphs. Additionally, the book shows how to test hypotheses and perform common inferential methods, including analyses of variance and regression. Each chapter includes exercises to reinforce learning, with solutions provided at the end of the book.

This 2nd revised and extended edition adds new topics and examples and strengthens the existing chapters through a thorough review.

About this title

About the Author

Franz Kronthaler is Professor of Statistics and Economics at the University of Applied Sciences of the Grisons in Switzerland. He teaches statistics at the bachelor and master level for more than fifteen years and authored the textbooks Statistics Applied with Excel/with the R Commander – Data Analysis Is (Not) an Art, available in German and English.

Silke Zöllner is a lecturer at the Institute of Business and Regional Economics at the Lucerne University of Applied Sciences and Arts. She conducts research and teaches statistics, working with students from a wide range of backgrounds.

From the Back Cover

This book introduces RStudio for practitioners and students and enables them to use R confidently in everyday work. It is not a statistics textbook; its aim is to share the joy of analysing data with R. Readers learn how to install and use RStudio, import data, write and run scripts, and save their work. They also learn how to apply descriptive statistics and create informative graphs. Additionally, the book shows how to test hypotheses and perform common inferential methods, including analyses of variance and regression. Each chapter includes exercises to reinforce learning, with solutions provided at the end of the book.

This 2nd revised and extended edition adds new topics and examples and strengthens the existing chapters through a thorough review.

Edition details

• Publisher: Springer
• Publication date: 2026
• Language: English
• ISBN 10: 3662732432
• ISBN 13: 9783662732434
• Binding: Paperback
• Edition number: 2
• Number of pages: 144