Description
**Unravel the Complexities of Categorical Data Analysis with Expert Guidance**
**Analysis of Categorical Data with R (PDF)** offers a contemporary exploration of categorical data analysis, utilizing the widely acclaimed R software. This resource covers advanced modeling techniques and assessment methods tailored for binary, multicategory, and count response variables, while meticulously addressing fundamental concepts such as odds ratios and probability estimations. The seasoned authors provide invaluable insights and clear criteria on which analytical procedures to employ and the rationale behind those choices.
**Harness the Power of R as a Data Analysis Tool and Educational Resource**
Designed for users with no prior experience in R, the text introduces the essential features and functionalities of this powerful programming language. It comprises a wealth of examples drawn from diverse fields such as medicine, psychology, ecology, and sports, along with detailed R code and its corresponding outputs. To deepen understanding, the authors incorporate data simulation techniques within R, which vividly illustrate the underlying assumptions of various procedures and facilitate thorough analysis performance evaluations. Additionally, the text features numerous graphical representations that showcase the strengths and characteristics of a range of analytical methods.
**Comprehensive Online Resources for Enhanced Learning**
Accompanying the ebook is a dedicated web resource available at www.chrisbilder.com/categorical, where readers can find datasets and R programs utilized in each example. The collection not only includes the code for visualizations and outputs featured in the book but also extends into supplementary features and more intricate analysis options. Designed to enhance the learning experience, the website is particularly beneficial for those engaging with the ebook, and includes videos of the authors delivering lectures on the subject. These instructional recordings, featuring engaging in-class discussions, are ideal for instructors looking to enrich their teaching strategies in blended or flipped classroom settings, or serve as an excellent alternative for those seeking a brief course.
**Hear What Others Are Saying**
“… I truly appreciated reading this work due to its exemplary examples and comprehensive R code. This ebook serves as an excellent textbook for advanced undergraduate or graduate courses, particularly for programs emphasizing R training. Self-learners with a basic grounding in categorical data analysis will find this text accessible and engaging. With the extensive resources provided — including in-class videos and the R code available at http://chrisbilder.com/categorical/ — I confidently endorse this ebook for all readers.” — Australian & New Zealand Journal of Statistics, April 2016
“This ebook delivers a thorough introduction to categorical data analysis with R, contextualized within various applications such as ecology, biology, medicine, and sports. Modern techniques for model building are comprehensively addressed… R is employed both as a data analysis tool and as a means for learning. The book adopts an approachable style, combining practical insights with numerous illustrative examples. Furthermore, an extensive array of exercises supports college students in applying their knowledge effectively… This textbook is bound to be a valuable resource.” — International Statistical Review, April 2016
“In summary, this ebook is exceptionally organized and articulated. It was a pleasure to read, even if I couldn’t execute all the R codes. I plan to adopt this text for a graduate course in categorical data analysis. The book’s numerous advantages — especially its thorough examples spanning multiple research fields — facilitate an in-depth understanding of categorical data analysis. The consistent use of the same examples throughout various chapters enhances the learning process, complemented by over 65 pages of exercises that provide excellent practical experience.” — Biometrics, 71, December 2015
“This ebook is a crucial resource for anyone looking to navigate the world of categorical data analysis. Bilder and Loughin break down complex topics into digestible content, balancing sufficient statistical theory with minimal and approachable mathematical notation. The authors effectively clarify the statistics behind categorical data analysis, supplemented by easy-to-follow R code. The integration of high-quality instructional videos, comprehensive R code, and organized datasets online offers readers multiple avenues for understanding and mastering categorical data analysis. This resource is essential for any biostatistician working with categorical data in R, making it an excellent choice for intermediate-to-advanced courses.” — Biometrical Journal, 57, 2015
“Having collaborated for several years, Bilder and Loughin exhibit remarkable synergy in delivering this insightful ebook. Grappling with categorical data analysis can be challenging, often leading to misconceptions that result in inconclusive findings. This textbook demystifies the analysis of categorical data and empowers readers to confidently implement effective methodologies. As R continues to gain popularity among data analysts globally, the importance of understanding R becomes ever more paramount. Through a comprehensive focus on teaching R’s fundamentals and offering step-by-step guidance for each analysis, the authors cultivate a confident community of users. I highly recommend this ebook to anyone intending to analyze categorical data in their professional endeavors — a necessity for virtually everyone!” — Deborah J. Rumsey, Ph.D., Auxiliary Professor and Statistics Education Specialist, Department of Statistics, The Ohio State University
**NOTE:** The product includes the ebook, Analysis of Categorical Data with R in PDF. No access codes are included.**
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