Learn How to Correctly Analyze Categorical Data
Analysis of Categorical Data with R (PDF) presents a contemporary account of categorical knowledge evaluation utilizing the favored R software program. It contains current strategies of mannequin constructing and evaluation for binary, multicategory, and depend response variables and discusses fundamentals, like odds ratio and likelihood estimation. The authors give detailed recommendation and requirements on which procedures to make use of and why to make use of them.
The Use of R as Both a Data Analysis Method and a Learning Tool
Requiring no earlier expertise with R, the textual content supplies an introduction to the very important options and capabilities of R. It contains quite a few examples from medication, psychology, ecology, sports activities and different areas, collectively with in depth R code and output. The authors use knowledge simulation in R to help readers perceive the underlying assumptions of a process after which to analyse the process’s efficiency. They additionally present many graphical demonstrations of the options and properties of numerous evaluation strategies.
The knowledge units and R packages from every instance are accessible at www.chrisbilder.com/categorical. The packages embody code used to make each plot and piece of output. Many of these packages embody code to point out further options or to carry out extra detailed analyses than what’s within the textual content. Designed for use in tandem with the book, the web site additionally exceptionally supplies movies of the authors educating a course on the topic. These movies incorporate dwell, in-class recordings, which instructors might discover helpful in a blended or flipped classroom setting. The movies are additionally appropriate as a alternative for a brief course.
“… I actually loved studying it resulting from its distinctive examples and in depth R code…The book could be an awesome textbook for superior undergraduate or postgraduate programs, significantly if coaching in R programming can also be a studying goal. A self-learner with primary information of categorical knowledge evaluation would discover the book straightforward to observe…Given the collection of in-class movies supplied on the related web site and all of the R code out there on-line at http://chrisbilder.com/categorical/, there is no such thing as a doubt that this book could be an awesome textbook. Personally I want to congratulate Bilder and Loughin on the writing of this priceless book. Even earlier than I had completed studying the book, I had already advisable it to my college students. Now, I extremely suggest this book to all readers.” ― Australian & New Zealand Journal of Statistics, April 2016
“This book gives an in depth introduction to evaluation of categorical knowledge with R. The context in connection with a mess of software areas similar to ecology, biology, medication and sports activities, simply to call just a few. Recent mannequin-constructing strategies are coated…Within the e-book, R is used not solely as a knowledge evaluation device but in addition as a studying device…The book takes a straightforward-to-perceive strategy by partnering sensible explanations with many illustrative examples…To assist faculty college students apply their information, the book has additionally supplied an in depth quantity of workouts…The textbook will also be a really useful reference.” ― International Statistical Review, April 2016
“In abstract, I feel this book is nicely organized and clearly written. I actually loved studying it, although I didn’t have time to run all of the R codes on my own. I wish to use this book as a textbook in a graduate course for CDA. This book has many benefits. Compared to different commonplace textbooks, its full presentation of examples from many various analysis areas and the R codes would enable the faculty college students (and different readers) to grow to be consultants in CDA in all fields. The use of the identical examples all through totally different chapters constantly provides a wonderful course of of knowledge evaluation. Furthermore, a broad set of workouts on the finish of every chapter (greater than 65 pages in all) that differ in scope and topic method could be good supporting supplies for enhancing sensible experiences of actual knowledge evaluation.” ― Biometrics, 71, December 2015
“… a priceless asset to any one who desires to guage categorical knowledge. Bilder and Loughin decode categorical knowledge evaluation utilizing a easy strategy, with ample statistical principle to permit the reader to know the underlying assumptions of the analyses concerned, however with minimal, unintimidating mathematical symbols, and equations. The authors have managed to elucidate the statistics concerned in categorical knowledge evaluation in unadorned semantics and supplemented them with corresponding R codes …. This is a serious plus for this book. Overall, the book is nicely written: It incorporates straightforward-to-observe R codes, footnote explanations of materials that might not be defined throughout the textual content, and quite a few workouts on the finish of every chapter. … Excellent movies of Bilder educating the fabric in school, full R codes, and corresponding knowledge, every organized by chapter, are accessible on a web site. These sources make it straightforward for readers to get a deeper understanding of categorical knowledge evaluation. … This book is a should-have device for any biostatistician analyzing categorical knowledge in R. It might very nicely be used as a textual content in intermediate-to-superior utilized programs in sensible evaluation of categorical knowledge.” ― Biometrical Journal, 57, 2015
“Bilder and Loughin have labored as a dynamic duo for a quantity of years, they usually clearly are combining their information, abilities, expertise, and teamwork to create this priceless book. Analyzing categorical knowledge accurately and in-depth will not be as straightforward because it seems in lots of programs and textbooks. As an end result, many individuals can get the flawed concept about what might and ought to be finished with categorical knowledge, and thus their outcomes might be inconclusive or incorrect. This book provides customers the total scoop in terms of analyzing categorical knowledge of all kinds, and it does so in a straightforward-to-perceive manner, giving confidence to the reader to go forward and implement the concepts in follow. The use of R for analyzing knowledge is changing into a worldwide phenomenon and a staple for knowledge analysts on each degree. As its reputation grows, it turns into essential for rookies to grow to be snug with understanding and utilizing R to research their knowledge. Through the particular consideration paid to educating the fundamentals of R, alongside with offering step-by-step particulars in utilizing R in every separate evaluation, Bilder and Loughin assist set up and promote a bunch of assured, snug customers of this software program that may appear an issue to many. I extremely and fortunately suggest this book to anybody who intends to research categorical knowledge of their careers―which incorporates most all of us!” ― Deborah J. Rumsey, Ph.D., Auxiliary Professor and Statistics Education Specialist, Department of Statistics, The Ohio State University
NOTE: The product contains the book, Analysis of Categorical Data with R. in PDF. No entry codes are included.