ANOVA and mixed models : a short introduction using R / Lukas Meier, ETH Zürich, Switzerland.
By: Meier, Lukas [author.].
Publisher: UK : CRC, 2023Edition: First edition.Description: 187p.ISBN: 9780367704209.Subject(s): Analysis of variance | R (Computer program language)DDC classification: 519.53802855133 Summary: "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"--| Item type | Current location | Call number | Status | Date due | Barcode |
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NASSDOC Library | 519.53802855133 MEI-A (Browse shelf) | Available | 52800 |
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| 519.536 BOL-R Regression analysis in R : | 519.537 THO-; Correlational procedures for research | 519.537 THO-; Correlational procedures for research | 519.53802855133 MEI-A ANOVA and mixed models : | 519.54 FRA-; Inference from survey samples: an empirical investigation | 519.54 WIN-I; Introduction to Bayesian inference and decision | 519.542 CHO-; Probability and statistics for decision making |
Includes bibliographical references and index.
"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"--
English.
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