ANOVA and Mixed Models: A Short Introduction Using R

ANOVA and Mixed Models: A Short Introduction Using R provides a compact introduction to the analysis of data from popular experimental designs, focusing on an intuitive understanding of the theory, common pitfalls, and application of methods in R. It covers standard ANOVA models, advanced designs, and mixed models and includes R code for all steps. The book is aimed at students, researchers, and practitioners from all areas who wish to analyze corresponding data with R.

Format: Hardback
Length: 187 pages
Publication date: 04 November 2022
Publisher: Taylor & Francis Ltd

ANOVA and Mixed Models: A Short Introduction Using R is a comprehensive guide that provides both practitioners and researchers with a concise introduction to the analysis of data from the most popular experimental designs. Drawing upon knowledge from an introductory course on probability and statistics, the book delves into the theoretical foundations of the most important models, emphasizing an intuitive understanding of the theory, common pitfalls in practice, and their application in the R programming language.

The book covers a wide range of topics, from data visualization and model fitting to the interpretation of the corresponding output. It not only covers standard ANOVA models but also extends to models for more advanced designs and mixed models, which are prevalent in many practical applications.

Designed to be accessible to readers with a basic background in probability and statistics, the book offers a step-by-step approach to analyzing data using R. It begins by covering fundamental concepts of experimental design and cause-effect relationships, introducing classical ANOVA models such as contrasts and multiple testing. The book then provides an example-based introduction to mixed models, which are useful for analyzing data with both continuous and categorical variables.

In addition to the theoretical foundations, the book features basic concepts of split-plot and incomplete block designs, which are commonly used in agricultural and biological research. R code is available for all steps, making it easy for readers to follow along and apply the methods to their own data.

A supplementary website is provided with additional resources and updates, ensuring that readers have access to the latest information and tools related to ANOVA and mixed models analysis.

ANOVA and Mixed Models: A Short Introduction Using R is an invaluable resource for students, researchers, and practitioners from all areas who wish to analyze corresponding data with R. By learning a broad array of models hand-in-hand with R, readers will gain a deep understanding of the statistical principles and techniques involved in experimental design and data analysis.

Weight: 530g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367704223