Skip to main content
SpringerLink
Log in
Book cover

Data Analysis with RStudio

An Easygoing Introduction

  • Textbook
  • © 2021

Overview

Authors:
  1. Franz Kronthaler

    1. University of Applied Sciences Grisons, Chur, Switzerland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Silke Zöllner

    1. Institue of Business and Regional Economics IBR, Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Shows how RStudio can easily be used for data analysis
  • Includes descriptive statistics, creating graphics, testing hypotheses, ANOVA and regression with RStudio
  • Provides exercises with solutions
  • Recommended and developed for university courses in Germany, Austria and Switzerland
  • Additional material: http://www.statistik-kronthaler.ch/

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 29.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 37.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. R and RStudio

    • Franz Kronthaler, Silke Zöllner
    Pages 1-12

  3. Data Analysis Basics with RStudio

    • Franz Kronthaler, Silke Zöllner
    Pages 13-29

  4. Data Tourism (Simulated)

    • Franz Kronthaler, Silke Zöllner
    Pages 31-34

  5. Describing Data with RStudio

    • Franz Kronthaler, Silke Zöllner
    Pages 35-58

  6. Testing Normal Distribution with RStudio

    • Franz Kronthaler, Silke Zöllner
    Pages 59-63

  7. Testing Hypotheses with RStudio

    • Franz Kronthaler, Silke Zöllner
    Pages 65-85

  8. Linear Regression with RStudio

    • Franz Kronthaler, Silke Zöllner
    Pages 87-106

  9. Further Reading

    • Franz Kronthaler, Silke Zöllner
    Pages 107-108

  10. Appendix

    • Franz Kronthaler, Silke Zöllner
    Pages 109-125
Back to top

Keywords

About this book

​The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to import data, write scripts and save working results. Furthermore, they learn to employ descriptive statistics and create graphics with RStudio. Additionally, it is shown how RStudio can be used to test hypotheses, run an analysis of variance and regressions. To deepen the learned content, tasks are included with the solutions provided at the end of the textbook. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.



Reviews

“This book can be used for self-study by those in business administration, engineering, and the social, health, or biological science fields, to become competent in statistical programming. … it can be used as supplementary material for statistics-related courses. … Each chapter ends with a summary of R commands and appropriate exercises. Moreover, the appendix presents detailed code solutions to facilitate faster code-learning among readers. … this book can evoke readers’ interests in analyzing data and reduce the learning difficulty.”  (Mei-Hsien Lee, Biometrics, Vol. 77 (4), December, 2021)


“I enjoyed reading this book. The authors were good at creating a complete tool for beginners to start along the path of essential statistical analysis in R. I recommend this book, for its content, writing, and organization, to undergraduate or graduate students of disciplines other than statistics but also to professionals (non-statisticians) who would like to acquire or improve their analysis skills and understand the depth of R functionality, especially nowadays that R use is very popular among data analysts.” (Georgios Nikolopoulos, ISCB News, iscb.info, Vol. 72, December, 2021)

Authors and Affiliations

  • University of Applied Sciences Grisons, Chur, Switzerland

    Franz Kronthaler

  • Institue of Business and Regional Economics IBR, Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland

    Silke Zöllner

About the authors

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 ten years and authored the German textbook “Statistik angewandt mit Excel – Datenanalyse ist keine Kunst”.


Silke Zöllner is a Research Associate at the Institute of Business and Regional Economics at Lucerne University of Applied Sciences and Arts. She is a doctoral candidate and teaches statistics at the bachelor level.

Bibliographic Information

  • Book Title: Data Analysis with RStudio

  • Book Subtitle: An Easygoing Introduction

  • Authors: Franz Kronthaler, Silke Zöllner

  • DOI: https://doi.org/10.1007/978-3-662-62518-7

  • Publisher: Springer Spektrum Berlin, Heidelberg

  • eBook Packages: Life Science and Basic Disciplines (German Language)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2021

  • Softcover ISBN: 978-3-662-62517-0Published: 22 December 2020

  • eBook ISBN: 978-3-662-62518-7Published: 21 December 2020

  • Edition Number: 1

  • Number of Pages: XI, 125

  • Number of Illustrations: 16 b/w illustrations, 155 illustrations in colour

  • Topics: Statistics and Computing/Statistics Programs, Statistics, general

Publish with us

Policies and ethics

Back to top

Search

Navigation