Applied Statistics With R - A Practical Guide for the Life Sciences

This 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.

List of contents

• Preface


• 1: Introduction to R


• 2: Before You Begin (aka Thoughts on Proper Data Analysis)


• 3: Exploratory Data Analysis and Data Summarization


• 4: Introduction to Plotting


• 5: Basic Statistical Analyses using R


• 6: More Linear Models in R!


• 7: Generalized Linear Models


• 8: Mixed Effects Models


• 9: Advanced Data Wrangling and Plotting


• 10: Writing Loops and Functions in R


• 11: Final Thoughts

About 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.

Summary

This 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.

Product details

• Authors: Justin C. Touchon, Justin C. (Assistant Professor Touchon
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 01.07.2021
• EAN: 9780198869979
• ISBN: 978-0-19-886997-9
• No. of pages: 336
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, COMPUTERS / Mathematical & Statistical Software, Probability & statistics, Mathematical & statistical software, Mathematical modelling, Probability and statistics, COMPUTERS / Data Science / Data Visualization, Mathematical and statistical software, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis