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Discovering Statistics Using R
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Discovering Statistics Using R

First Edition
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February 2022 | 1 148 pages | SAGE Texts
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
 
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

Supplements

Andy Field

Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics.He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure... More About Author

Jeremy Miles

Jeremy Miles, RAND Corporation, USA. More About Author

Zoe Field

Zoë Field, University of Sussex, UK More About Author

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ISBN: 9789354790805
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