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Discovering Statistics Using R
First Edition
- Andy Field - University of Sussex, UK
- Jeremy Miles - RAND Corporation, USA
- Zoë Field - University of Sussex, UK
Additional resources:
February 2022 | 1 148 pages | SAGE South Asia
An entertaining and foundational manual on how to use R to solve statistical problems.
Discovering Statistics Using R uses an irreverent and innovative approach to explain how students can use R to approach statistical problems. It introduces readers to the software environment of R and shows how it can be used in the field of statistics. The authors understand that the concepts of statistics can be difficult to access, so they use humour, and informal and conversational language for easy comprehension. The book includes multiple engaging examples and simple problems to ensure that the concepts of the software, as well as the statistical concepts, can be easily understood by the readers. Given this book’s accessibility, fun spirit, and use of bizarre real-world research, it is essential for anyone wanting to learn about statistics using the freely available R software.
Key Features:
• A detailed introduction to the software environment of R guides the reader on how to use R
• Relates theory to the real world to help students think about how the software can be applied to research problems
• Humorous and accessible language that simplifies complex concepts and processes
• Numerous problems and examples that test the readers’ understanding of the subject
Discovering Statistics Using R uses an irreverent and innovative approach to explain how students can use R to approach statistical problems. It introduces readers to the software environment of R and shows how it can be used in the field of statistics. The authors understand that the concepts of statistics can be difficult to access, so they use humour, and informal and conversational language for easy comprehension. The book includes multiple engaging examples and simple problems to ensure that the concepts of the software, as well as the statistical concepts, can be easily understood by the readers. Given this book’s accessibility, fun spirit, and use of bizarre real-world research, it is essential for anyone wanting to learn about statistics using the freely available R software.
Key Features:
• A detailed introduction to the software environment of R guides the reader on how to use R
• Relates theory to the real world to help students think about how the software can be applied to research problems
• Humorous and accessible language that simplifies complex concepts and processes
• Numerous problems and examples that test the readers’ understanding of the subject
Preface
Acknowledgements
How to Use This Book
Symbols Used in This Book
Some Maths Revision
Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Everything You Ever Wanted to Know about Statistics (Well, Sort of)
The R Environment
Exploring Data with Graphs
Exploring Assumptions
Correlation
Regression
Logistic Regression
Comparing Two Means
Comparing Several Means: ANOVA (GLM 1)
Analysis of Covariance, ANCOVA (GLM 2)
Factorial ANOVA (GLM 3)
Repeated-measures Designs (GLM 4)
Mixed Designs (GLM 5)
Non-parametric Tests
Multivariate Analysis of Variance (MANOVA)
Exploratory Factor Analysis
Categorical Data
Multilevel Linear Models
Epilogue: Life after Discovering Statistics
Troubleshooting R
Glossary
Appendix
References
Index