First Course in Statistical Programming with R

Braun and Murdoch's bestselling textbook on R now includes discussion of the tidyverse packages, expanded coverage of ggplot2, and R Markdown. It emphasizes portable programming skills and comes with real R code, examples, exercises, and solutions.

\n Format: Paperback / softback
\n Length: 280 pages
\n Publication date: 20 May 2021
\n Publisher: Cambridge University Press
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This third edition of Braun and Murdoch's bestselling textbook, now in its revised and updated form, encompasses a comprehensive discussion of the utilization and design principles of the tidyverse packages in R, offering expanded coverage of ggplot2. Additionally, it includes an in-depth exploration of R Markdown, a powerful tool for data visualization and storytelling. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms, providing valuable insights into statistical modeling. Throughout the book, numerous new examples and exercises have been added to enhance the learning experience. As the sole introduction required to embark on programming in R, the computing standard for data analysis, this book serves as a valuable resource. It equips readers with the essential skills and knowledge to effectively utilize R for data manipulation, statistical analysis, and visualization.

Moreover, this book distinguishes itself by emphasizing portable programming skills, which are applicable to a wide range of computing languages and techniques. These skills are crucial for developing more complex projects and are highly valued in today's data science landscape.

To complement the text, a comprehensive package of supplementary materials is available. This includes solutions, datasets, and any errata, all accessible from the website {URL}. Additionally, the book features numerous worked examples, drawn from real applications, to provide practical insights and hands-on experience. Hundreds of exercises and downloadable code, datasets, and solutions further enhance the learning experience, allowing readers to apply their knowledge and develop their data science skills.

Whether you are a professional working in data science or a student embarking on your journey into practical data science, this third edition of Braun and Murdoch's bestselling textbook is an indispensable resource. With its comprehensive coverage, practical examples, and extensive supplementary materials, it provides a solid foundation for mastering R and advancing your data analysis capabilities.

\n Weight: 604g\n
Dimension: 246 x 243 x 23 (mm)\n
ISBN-13: 9781108995146\n
Edition number: 3 Revised edition\n