R Companion to Elementary Applied Statistics

The R Companion to Elementary Applied Statistics is a comprehensive guide to using R for elementary applied statistics. It covers traditional applications as well as additional methods,and includes examples and script files for further practice.

Format: Paperback / softback
Length: 358 pages
Publication date: 04 March 2019
Publisher: Taylor & Francis Ltd

The R Companion to Elementary Applied Statistics is a comprehensive guide that covers both traditional applications commonly taught in elementary statistics courses and additional methods that address the challenges and considerations that arise during the application of these methods. Written in a clear and accessible style, the book begins with basic tasks and computations in R, guiding readers through the process of bringing data into R, manipulating and analyzing the data, performing common statistical computations, and conducting elementary exploratory data analysis tasks.

Throughout the book, readers are provided with an extensive array of examples that illustrate various ways to use pre-packaged routines in R as well as the development of individualized code. These examples cover a wide range of applications, from basic statistical analyses to more advanced techniques such as machine learning and spatial statistics. Additionally, the book includes accompanying carefully documented script files that contain code for all examples presented, allowing readers to follow along and replicate the analyses.

One of the key features of The R Companion to Elementary Applied Statistics is its emphasis on accessibility. The book assumes no prior familiarity with R or programming, making it suitable for students, researchers, and professionals who wish to delve into the world of R. Whether used as a resource for a project-based elementary applied statistics course or as a reference for researchers and professionals seeking to expand their knowledge of R, the book provides a solid foundation for understanding and utilizing R in a variety of statistical applications.

In addition to its coverage of traditional applications, The R Companion to Elementary Applied Statistics also presents several non-traditional or advanced methods that are gaining popularity in the scientific community. These methods include Bayesian inference, survival analysis, and multivariate statistics, among others. By introducing these methods, the book provides readers with a broader range of tools and techniques to address complex statistical problems.

The book is authored by Christopher Hay-Jahans, a mathematics professor with extensive experience in using R for statistical analysis. His expertise in both the theoretical aspects of statistics and the practical applications of R makes him an ideal guide for readers who are looking to expand their skills in R. Throughout the book, Hay-Jahans provides clear explanations and examples that help readers understand the concepts and techniques discussed, making it an invaluable resource for anyone interested in learning R.

In conclusion, The R Companion to Elementary Applied Statistics is a comprehensive and accessible guide that provides a solid foundation for understanding and utilizing R in a variety of statistical applications. Whether you are a student, researcher, or professional seeking to expand your knowledge of R, this book is an essential resource that will help you achieve your goals.

Weight: 564g
Dimension: 235 x 164 x 21 (mm)
ISBN-13: 9781138329164