Description
Book Synopsis: 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:
- 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 are available here.
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.
Details
Looking to analyze your data from popular experimental designs? Look no further! ANOVA and Mixed Models: A Short Introduction Using R is your comprehensive guide to understanding and applying the most important models in data analysis. Whether you're a practitioner or a researcher, this book provides a compact introduction to ANOVA and mixed models, from the theoretical foundations to practical application in R. With a focus on intuitive understanding and avoiding common pitfalls, you'll gain the skills you need for data visualization, model fitting, and interpretation. Get started today and unlock the power of data analysis with R!
Take your statistical analysis to the next level with ANOVA and Mixed Models: A Short Introduction Using R. Designed for readers with a basic background in probability and statistics, this book covers fundamental concepts of experimental design and cause-effect relationships. Not only does it delve into classical ANOVA models, including contrasts and multiple testing, but it also introduces you to more advanced designs and mixed models commonly found in practical applications. With R code available for all steps and a supplementary website for additional resources, you'll have everything you need to succeed in analyzing your data. Don't miss out on this valuable resource!
If you're a student, researcher, or practitioner seeking to analyze data with R, ANOVA and Mixed Models: A Short Introduction Using R is a must-have addition to your library. This book not only provides an example-based introduction to mixed models, split-plot, and incomplete block designs, but it also offers a broad array of models that can be applied using R and its add-on packages. The accessible language and comprehensive coverage of concepts make it ideal for readers with a basic background in probability and statistics. Don't wait any longer to enhance your data analysis skills - grab your copy today and start maximizing the potential of your data!
Ready to elevate your data analysis game? ANOVA and Mixed Models: A Short Introduction Using R is here to help. Whether you're a student, researcher, or practitioner, this book offers a compact introduction to the analysis of data from popular experimental designs. With an emphasis on an intuitive understanding of theory and practical application in R, you'll gain valuable insights into data visualization, model fitting, and interpretation. Plus, the book goes beyond standard ANOVA models, covering more advanced designs and mixed models commonly used in real-world scenarios. Don't miss out on the opportunity to enhance your analytical skills. Get a copy of ANOVA and Mixed Models: A Short Introduction Using R today and take your analysis to new heights!
Click here to order your copy now!
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