Justin C. Touchon

Applied Statistics with R (eBook, PDF)

A Practical Guide for the Life Sciences and Beyond

• Format: PDF

Produktbeschreibung

Over the past few decades, the life sciences have experienced an analytical revolution. With powerful computers now widely available, students and researchers are expected to perform increasingly advanced statistical analyses--previously the domain of only statistical experts. However, most undergraduate and graduate students still lack the proper formal training needed to succeed. Regardless of your experience level, this book will teach you in an efficient, accessible, and occasionally humorous manner, ensuring you understand how and when to perform your analyses. 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. By using a single, real-world dataset throughout the book, readers will become deeply familiar with an imperfect but realistic set of data. Early chapters are designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach 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, psychology, or neuroscience.

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Produktdetails

• Verlag: OUP eBook
• Seitenzahl: 320
• Erscheinungstermin: 23. Mai 2025
• Englisch
• ISBN-13: 9780197797365
• Artikelnr.: 75202856

Autorenporträt

Justin Touchon grew up loving nature in Oregon, USA, spending his summers hiking and camping. After attending college at Willamette University, he conducted his doctoral research at Boston University. During his PhD, he discovered his love for the tropics, working and living at the Smithsonian Tropical Research Institute in Panama on and off for 10 years. Now an Associate Professor in the Biology Department at Vassar College, he spends his time studying frogs and tadpoles, teaching students about animals, behaviour, and statistics, and exploring the Hudson Valley with his family and friends.

Inhaltsangabe

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
6 More Linear Models!
7 Generalized Linear Models
8 Mixed Effects Models
9 Other useful models you should know about
10 Advanced Data Wrangling and Plotting
11 Writing Loops and Functions in R
12 Final Thoughts
Preface
Acknowledgments
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
6: More Linear Models!
7: Generalized Linear Models
8: Mixed Effects Models
9: Other Useful Models
10: Advanced Data Wrangling and Plotting
11: Writing Loops and Functions in R
12: Final Thoughts
Index