Analysis of Categorical Data with R (Chapman & Hall/CRC Texts in Statistical Science)
Product ID: 12420237
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Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The Use of R as Both a Data Analysis Method and a Learning Tool Requiring no prior experience with R, the text offers an introduction to the essential features and functions of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods. Web Resource The data sets and R programs from each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and piece of output. Many of these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the book, the website also uniquely provides videos of the authors teaching a course on the subject. These videos include live, in-class recordings, which instructors may find useful in a blended or flipped classroom setting. The videos are also suitable as a substitute for a short course. Review: Excellent reference - I bought this as a companion to the required text to my categorical data analysis course. It is very good. The R script examples are very helpful and the book is very well written and organized. Review: Happy with my order - Arrived within the expected timeframe Condition was same as described Hapoy with my order
| Best Sellers Rank | #3,570,451 in Books ( See Top 100 in Books ) #4,059 in Statistics (Books) #4,703 in Probability & Statistics (Books) |
| Customer Reviews | 4.8 out of 5 stars 22 Reviews |
S**Y
Excellent reference
I bought this as a companion to the required text to my categorical data analysis course. It is very good. The R script examples are very helpful and the book is very well written and organized.
S**R
Happy with my order
Arrived within the expected timeframe Condition was same as described Hapoy with my order
T**O
Four Stars
Super book.
G**E
Your alternative as a textbook in Categorical Data courses.
This is the best alternative to Agresti books in categorical data analysis. A modern and well written book with a lot of examples and R code. Very useful as a textbook in categorical data analysis courses. The chapter "Additional Topics" has many modern techniques to explore.
C**S
Simply the Best
This is one of the best applied statistical references written. It provides a solid foundation with lucid explanations. It does not sacrifice key details. It also is very helpful in developing R skills. The appendices include the theoretical framework; however, Agresti provides much broader theoretical discussions. I would highly recommend.
S**O
Great code snippets available
Well written, clear book with good examples and great code online.
A**G
Five Stars
In good shape.
T**L
the authors and publishers think this book is mediocre at best. If they thought the book were good
The book is well written and presents methods for the analysis of categorical data from the ground up. Unfortunately, the authors and the publishers provide a "solutions manual for all exercises" only for "instructors who adopt the textbook as a required resource for a course" and they won't "help [...] readers who are trying to solve exercises" ([...]). This is odd because it makes me think neither the authors nor the publishers can imagine that people would want to read this book voluntarily without having been obliged to do so by their teachers. This also makes me believe, the authors and publishers think this book is mediocre at best. If they thought the book were good, they surely would have prepared solutions for some exercises for people who use this book, e.g., for self-study purposes, as a refresher etc. (Don't get me wrong though: this actually is a well written book. I just wish they had provided some way to make it possible for self-learners to verify their solutions to the exercises in the book.)
B**R
Good content bad condition
I got a bug for free
C**N
A must have
Very well written and complete
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