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Discovering Statistics Using R
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Discovering Statistics Using R
Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach.
Discovering Statistics Using R
Item #: 1000538

Discovering Statistics Using R

88% of respondents would recommend this to a friend

Item #: 1000538

XCD 356

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Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach.
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What Stands Out

Comprehensive Coverage
This edition offers an in-depth exploration of statistical concepts using R, making it accessible for beginners while also rigorously addressing advanced topics for experienced users.
Practical Applications
Real-world examples and exercises enhance learning, allowing users to apply statistical methods directly within R, bridging the gap between theory and practical use.
User-Friendly Approach
The engaging writing style and clear explanations simplify complex topics, making it easier for learners to grasp statistics without feeling overwhelmed.

Product Details

Explore the comprehensive guide to statistics using R in the 1st edition of Discovering Statistics using R. Order now from Ubuy Saint Lucia for a seamless learning experience.
  • Written by Andy Field, this textbook explores statistics using the R software
  • Follows the same structure and approach as its sister textbook on SPSS
  • Features a cast of characters, examples, and self-assessment tests to aid learning
  • Includes additional website materials for further study
  • Offers an irreverent style of writing
  • Designed for students interested in statistical discovery using R
Publisher SAGE Publications Ltd
Publication date April 5, 2012
Edition 1st
Language English
Print length 992 pages
ISBN-10 1446200469
ISBN-13 978-1446200469
Item Weight 4.25 pounds (1.93 kg)
Dimensions 7.5 x 1.5 x 10 inches (19.1 x 3.8 x 25.4 cm)

Who Should Buy?

Suitable For
  • Students of Statistics

    Ideal for undergraduate students seeking a comprehensive introduction to statistics with practical examples in R programming.

  • Data Analysts

    Great for data analysts looking for a resource that combines statistical methods with R for real-world applications.

  • Researchers

    Suitable for researchers who need insights into statistical techniques, using R to analyze their experimental data.

Not Suitable For
  • Beginners in R

    Not suitable for complete novices in R, as it assumes some prior knowledge of the programming language.

Product Description

Discovering Statistics Using R

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Customer Questions & Answers

  • Question: What is 'Discovering Statistics Using R' about?

    Answer: 'Discovering Statistics Using R' is a comprehensive guide to using R for statistical analysis. It introduces readers to core statistical concepts through practical examples and R code, making it suitable for both new learners and experienced analysts. This book not only covers basic topics like descriptive statistics and probability but also delves into advanced techniques such as regression and ANOVA. By illustrating theoretical concepts with real data, readers can effectively grasp how statistics work in practice and apply these techniques in their own research or work.
  • Question: Is 'Discovering Statistics Using R' suitable for beginners?

    Answer: Yes, 'Discovering Statistics Using R' is crafted with beginners in mind. The author explains statistical concepts in a clear and engaging manner, making complex topics accessible. It begins with foundational concepts before gradually introducing more advanced techniques, ensuring readers can build their understanding step by step. Through practical examples, beginners can learn how to leverage R for statistical analysis, empowering them to conduct their analyses with confidence and clarity.
  • Question: Do I need prior knowledge of R to use this book?

    Answer: No prior knowledge of R is required to use 'Discovering Statistics Using R.' The book assumes no background in programming, making it appropriate for anyone interested in learning statistics using R. It provides detailed instructions, guides on setting up R, and introduces essential programming concepts as needed. This approach allows readers to focus on statistical analysis while learning R simultaneously, ensuring a dual learning benefit.
  • Question: What version of R is compatible with the book?

    Answer: 'Discovering Statistics Using R' is compatible with the latest versions of R and the relevant R packages. Readers are encouraged to download the most recent version of R from the Comprehensive R Archive Network (CRAN) to ensure they have the latest features and bug fixes. Utilizing the latest version allows users to access improved functions and additional resources, enhancing their statistical analysis experience while following along with the book.
  • Question: Can I use this book for self-study?

    Answer: Absolutely! 'Discovering Statistics Using R' is an excellent resource for self-study. Its structured approach, clear explanations, and practical exercises encourage independent learning. Each chapter includes examples and exercises that allow readers to practice what they learn, reinforcing their understanding. Users can pace their study according to their schedule, making it an ideal choice for individuals seeking to enhance their statistical skills without formal classroom instruction.
  • Question: Does this book include real-world examples?

    Answer: Yes, one of the strengths of 'Discovering Statistics Using R' is its inclusion of real-world examples. The author uses actual data sets to demonstrate statistical techniques, allowing readers to see the practical applications of the concepts discussed. This real-world focus enhances understanding and encourages readers to think critically about how statistics can be applied in various fields, such as social sciences, healthcare, and business analytics.
  • Question: How does this book compare to other statistics textbooks?

    Answer: 'Discovering Statistics Using R' stands out due to its engaging writing style and practical emphasis on applying statistics using R. Unlike many traditional textbooks, which may present theories abstractly, this book prioritizes hands-on practice and example-driven learning. The integration of R programming with statistics offers a more modern approach, equipping readers with valuable skills that are highly relevant in today’s data-driven environment.
  • Question: Are there supplementary resources for readers?

    Answer: Yes, 'Discovering Statistics Using R' comes with supplementary resources, including companion websites and additional materials that can enhance the learning experience. These resources often include datasets, links to useful R packages, and further reading suggestions. They provide an excellent way for readers to expand their knowledge, practice skills, and engage with a broader community of learners and practitioners in the field of statistics.
  • Question: What are common use cases for this book?

    Answer: Common use cases for 'Discovering Statistics Using R' include academic coursework, research projects, and professional development in data analysis roles. Students can use it as a textbook for statistics programs, while researchers can apply its methods to analyze data effectively. Professionals in fields such as marketing, healthcare, and social science can benefit from the practical statistical techniques offered, enabling them to make informed decisions based on data analysis.
  • Question: Where can I buy 'Discovering Statistics Using R 1st Edition' in Saint Lucia?

    Answer: You can buy 'Discovering Statistics Using R 1st Edition' from Ubuy in Saint Lucia. Ubuy provides a convenient platform for purchasing this book, ensuring that you receive it directly to your preferred location. They offer a user-friendly experience, with detailed product descriptions and customer support, making it simple for you to acquire this essential resource for your statistical studies.

Statistics Editorial Review

Discovering Statistics Using R by Andy Fields is a highly acclaimed textbook that offers an amusing and engaging approach to learning statistics and using the R programming language. Written by Andy Fields, a renowned author in the field, this book is praised for its easy-to-understand explanations and humorous writing style. However, the Kindle edition of the book has received criticism for its poor formatting, missing figures and tables, and unreadable equations. Despite these issues with the digital version, many readers still find the content of the book to be interesting and useful.

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Pros

  • Easy-to-understand explanations
  • Amusing and engaging writing style
  • Interesting and useful content

Cons

  • Poor formatting in the Kindle edition

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XCD 356

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Features & Benefits

  • Written in an irreverent style
  • Follows a ground-breaking structure and pedagogical approach
  • Enhanced with a cast of characters to help the reader
  • Includes hundreds of examples
  • Self-assessment tests to consolidate knowledge
  • Additional website material for further learning

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