Muutke küpsiste eelistusi

Data Analysis with RStudio: An Easygoing Introduction Second rev. and enl. Edition 2026 [Pehme köide]

  • Formaat: Paperback / softback, 136 pages, kõrgus x laius: 240x168 mm, 31 Illustrations, color; 29 Illustrations, black and white
  • Ilmumisaeg: 07-Jun-2026
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662732432
  • ISBN-13: 9783662732434
Teised raamatud teemal:
  • Pehme köide
  • Hind: 67,40 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 79,29 €
  • Säästad 15%
  • See raamat ei ole veel ilmunud. Raamatu kohalejõudmiseks kulub orienteeruvalt 3-4 nädalat peale raamatu väljaandmist.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 136 pages, kõrgus x laius: 240x168 mm, 31 Illustrations, color; 29 Illustrations, black and white
  • Ilmumisaeg: 07-Jun-2026
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662732432
  • ISBN-13: 9783662732434
Teised raamatud teemal:
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.
Comment.- 1 R and RStudio.- 2 Data analysis basics with RStudio.- 3 Data
tourism (simulated).- 4 Describing data with RStudio.- 5 Testing for normal
distribution with RStudio.- 6 Testing hypotheses with RStudio,- 7 Linear
regression with RStudio.- 8 Logistic Regression.- 9 Further Reading.- 10
Appendix: 1 Questionnaire, 2 Data "tourism.xlsx" including legend, 3 How to
deal with missing data, 4 Solutions for the task.
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.