02050cam a22001818i 4500020001800000041000900018082002700027100002700054245010200081250001900183260002200202300001100224504005100235520150900286546001301795650002601808650003401834  a9780367704209  aeng.00a519.53802855133bMEI-A1 aMeier, Lukas,eauthor.10aANOVA and mixed models :ba short introduction using R /cLukas Meier, ETH Zürich, Switzerland.  aFirst edition.  aUK :bCRC,c2023.  a187p.   aIncludes bibliographical references and index.  a"ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and the researcher with 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, 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 Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates 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 application of some of the most important add-on packages"--  aEnglish. 0aAnalysis of variance. 0aR (Computer program language)