Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
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Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Discover what you can do with R! This book guides users through practical, powerful tools for hands-on analysis and interpretation of data.
Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Sản phẩm #: 30708971

Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)

85% of respondents would recommend this to a friend

Sản phẩm #: 30708971

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VND 4416871

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Discover what you can do with R! This book guides users through practical, powerful tools for hands-on analysis and interpretation of data.
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What Stands Out

Example-Based Learning
Offers practical, example-driven learning that makes complex concepts accessible, enhancing understanding and retention for students and professionals alike.
Comprehensive Coverage
Thoroughly covers data analysis techniques and graphics using R, equipping readers with essential skills needed for real-world data scenarios and problem-solving.
Updated Content
Includes the latest advancements in R and statistical methods, ensuring readers stay current in the rapidly evolving field of data science.

Thông tin chi tiết sản phẩm

Explore the Example-Based Approach of Data Analysis and Graphics Using R. Discover how to apply statistical and probabilistic mathematics through Cambridge Series Number 10. Shop at Ubuy Vietnam
  • Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practicing statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.
Publisher Cambridge University Press
Publication date June 7, 2010
Edition 3rd
Language English
Print length 549 pages
ISBN-10 0521762936
ISBN-13 978-0521762939
Item Weight 2.87 pounds (1.3 kg)
Dimensions 7.25 x 1.25 x 10 inches (18.4 x 3.2 x 25.4 cm)
Part of series Cambridge Series in Statistical and Probabilistic Mathematics

Who Should Buy?

Suitable For
  • Students and Learners

    Perfect for students aiming to solidify their understanding of data analysis using R through practical examples.

  • Data Analysts

    Ideal for professionals who need to enhance their data visualization skills and apply statistical techniques effectively.

  • Teachers and Educators

    Beneficial for educators looking for comprehensive teaching materials and examples to guide students in data analysis.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals with no prior experience in R or data analysis concepts, as it assumes some knowledge.

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Câu hỏi và trả lời của khách hàng

  • câu hỏi: Who is this book ideal for?

    trả lời: It's ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practicing statisticians.
  • câu hỏi: Does the book require prior knowledge of R?

    trả lời: No, it assumes basic statistical knowledge and some experience with data analysis, but not prior experience with R.
  • câu hỏi: What additional resources come with the book?

    trả lời: A companion website offers code, datasets, and solutions to selected exercises to enhance learning and reproducibility.
  • câu hỏi: Is this book helpful for learning R?

    trả lời: Yes, this book is very useful for learning R and provides code examples and highlights common pitfalls for new users.

Biostatistics Editorial Review

This book is highly recommended for anyone looking to learn R and statistics. It provides useful code examples and highlights common pitfalls for new users. The included website allows for easy access to downloadable code. While there are free resources available, this hard-bound reference book offers a comprehensive and organized approach to learning R. It covers a range of statistical applications and provides value even if only a few chapters are utilized.

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ưu

  • Useful for learning R
  • Includes code examples
  • Highlights common pitfalls
  • Comprehensive reference
  • Covers range of statistical applications

Nhược điểm

  • Not focused solely on statistics

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VND 1946371

VND 4416871

Đặt hàng ngay bây giờ và nhận hàng vào khoảng Thứ Bảy, Tháng 10 31

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Chỉ còn 1 mặt hàng trong kho.
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Các tính năng và lợi ích

  • Learn practical and powerful tools of R for data analysis.
  • Hands-on approach with real-world examples and detailed commentary.
  • Covers standard regression methods and advanced topics.
  • Companion website with code and datasets for reproducibility.
  • Perfect for researchers, students of applied statistics, and practicing statisticians.
  • Expanded content on Bayesian inference, mixed models, and random forests.

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