Applied Statistics with R
A Practical Guide for the Life Sciences and Beyond
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Product details:
- Edition number 2
- Publisher OUP USA
- Date of Publication 17 June 2025
- ISBN 9780197797358
- Binding Paperback
- No. of pages320 pages
- Size 21x156x235 mm
- Weight 538 g
- Language English
- Illustrations 420 figures 671
Categories
Short description:
This book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is easily the most widely used program in ecology and evolutionary biology, and is quickly becoming the program-of-choice in other fields such as neuroscience and psychology.
MoreLong description:
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.
Applied Statistics with R will keep you engaged with its humor and humility while teaching the fundamentals of modern biological data analysis.
Table 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
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
Introduction to R
Before You Begin (aka Thoughts on Proper Data Analysis)
Exploratory Data Analysis and Data Summarization
Introduction to Plotting
Basic Statistical Analyses
More Linear Models!
Generalized Linear Models
Mixed Effects Models
Other Useful Models
Advanced Data Wrangling and Plotting
Writing Loops and Functions in R
Final Thoughts
Index
