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ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization and model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications.
Features
This book is primarily aimed at students, researchers, and practitioners from all areas who wish to analyze corresponding data with R. Readers will learn a broad array of models hand-in-hand with R, including the applications of some of the most important add-on packages.
Author: Lukas Meier
ISBN-10: 0367704226
ISBN-13: 9780367704223
Publisher: CRC Press
Language: English
Published: 11/04/2022
Pages: 187
Format: Hardcover
Weight: 1.02lbs
Size: 9.21h x 6.14w x 0.50d
Lukas Meier is a senior scientist at the Seminar f? Statistik at ETH Z?ich. His main interests are teaching statistics at various levels, the application of statistics in many fields of applications using advanced ANOVA or regression models, and high-dimensional statistics. He co-leads the statistical consulting service at ETH Z?ich and is the director of a continuing education program in applied statistics.
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