Applied Statistics with R: A Practical Guide for the Life Sciences

This book provides students with the tools to perform advanced statistical analyses in the life sciences using the statistical language R. It uses a single, real-world dataset to teach basic data manipulation skills and build good habits, and progresses to more advanced analyses. It is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the life sciences.

Format: Paperback / softback
Length: 336 pages
Publication date: 01 July 2021
Publisher: Oxford University Press

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 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.

Weight: 642g
Dimension: 169 x 239 x 21 (mm)
ISBN-13: 9780198869337