Authors:
- 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/
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About this book
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
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University of Applied Sciences Grisons, Chur, Switzerland
Franz Kronthaler
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Institue of Business and Regional Economics IBR, Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland
Silke Zöllner
About the authors
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