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Applied Statistics with R: A Practical Guide for the Life Sciences
Author(s): Justin C. Touchon (Author)
- Publisher: OUP Oxford
- Publication Date: 1 July 2021
- Language: English
- Print length: 336 pages
- ISBN-10: 0198869339
- ISBN-13: 9780198869337
Book Description
The statistical analyses that students of the life-sciences are being expected to perform are becoming increasingly advanced. Whether at the undergraduate, graduate, or post-graduate level, this book provides the tools needed to properly analyze your data in an efficient, accessible, plainspoken, frank, and occasionally humorous manner, ensuring that readers come away with the knowledge of which analyses they should use and when they should use them.
The book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the ‘go-to’ stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data. Indeed, early chapters are specifically designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach also demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques, and gain an introduction to writing their own functions.
Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life-sciences, whether in the fields of ecology, evolution, environmental studies, or computational biology.
The book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the ‘go-to’ stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data. Indeed, early chapters are specifically designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach also demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques, and gain an introduction to writing their own functions.
Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life-sciences, whether in the fields of ecology, evolution, environmental studies, or computational biology.
Editorial Reviews
Review
Applied Statistics with R will keep you engaged with its humor and humility while teaching the fundamentals of modern biological data analysis. ― Morgan W. Tingley, The Quarterly Review of Biology
This book excels at…taking away the fear of coding that seems to be an epidemic among students. It is written in a very conversational tone and the author explains every line of code, avoiding any technical language. ―
Julia Balogh, Goethe-Universität Frankfurt am Main, Germany, ISBE Newsletter Vol 36About the Author
Justin C. Touchon is Assistant Professor of Biology at the Department of Biology, Vassar College, New York, USA. His research focuses primarily on phenotypic plasticity, aiming to understand its causes and consequences. He also studies the evolution of terrestrial reproduction in a group of Central and South American treefrogs in the genus Dendropsophus. He has taught an annual statistics workshop at the Smithsonian Tropical Research Institute for over 10 years and has developed an effective approach upon which this book is based.
