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© 2021

Data Analysis with RStudio

An Easygoing Introduction

  • 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/

Textbook
  • 26k Downloads

Table of contents

  1. Front Matter
    Pages i-xi
    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

About this book

Introduction

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.

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.

Keywords

RStudio describing and analyzing data with RStudio ggplot2 testing hypotheses with RStudio linear regression with RStudio tourism data

Authors and affiliations

  1. 1.University of Applied Sciences GrisonsChurSwitzerland
  2. 2.Institue of Business and Regional Economics IBRLucerne University of Applied Sciences and ArtsLucerneSwitzerland

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
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2021
  • Publisher Name Springer Spektrum, Berlin, Heidelberg
  • eBook Packages Life Science and Basic Disciplines (German Language)
  • Softcover ISBN 978-3-662-62517-0
  • eBook ISBN 978-3-662-62518-7
  • 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
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