Descrição
This latest edition of Braun and Murdoch's popular textbook introduces readers to the essential concepts of statistical programming using R, making it an invaluable resource for both beginners and those with some experience. With an emphasis on practical application, the authors provide comprehensive guidance on utilizing R for statistical analysis, data manipulation, and visualization. The book's clear explanations and thoughtful examples help demystify complex programming techniques, encouraging readers to develop their skills and confidence in statistical programming.
In addition to foundational topics, this edition also explores the latest advancements and features in R, ensuring that readers are up-to-date with the current landscape of statistical computing. By including a range of exercises and projects, the authors foster hands-on learning, allowing students to apply what they’ve learned in real-world contexts. Overall, this textbook offers a thoughtful and engaging approach to mastering statistical programming in R, appealing to a diverse audience from students to professionals.
In addition to foundational topics, this edition also explores the latest advancements and features in R, ensuring that readers are up-to-date with the current landscape of statistical computing. By including a range of exercises and projects, the authors foster hands-on learning, allowing students to apply what they’ve learned in real-world contexts. Overall, this textbook offers a thoughtful and engaging approach to mastering statistical programming in R, appealing to a diverse audience from students to professionals.
Detalhes do Livro
Formato
Kindle
Páginas
280 páginas
Idioma
Inglês
Publicado
Jan 1, 2021
Editora
Cambridge University Press
Edição
3
Edições
4 editions
ISBN-10
1108999417
ISBN-13
9781108999410
Gêneros
Ciência e Tecnologia