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Introductory Statistics with R (Statistics and Computing)
Número do item: 2230974

Introductory Statistics with R (Statistics and Computing)

Número do item: 2230974

R$ 255

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Destaques do Produto

Comprehensive Coverage
This edition thoroughly covers essential statistical concepts and methods, providing clear explanations and practical examples, making it suitable for both beginners and advanced users in statistics.
Integrated R Applications
Real-world applications using R are seamlessly integrated, enhancing the learning experience and enabling users to apply statistical techniques effectively in programming and data analysis.
User-Friendly Approach
The book employs a user-friendly approach, with step-by-step instructions and visual aids, catering to diverse learning styles and facilitating comprehension of complex statistical ideas.

Detalhes do produto

Explore the world of statistics and computing with R. Learn essential concepts and techniques in this comprehensive 2nd edition. Shop now at Ubuy Brasil!
  • This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Publisher Springer
Publication date August 15, 2008
Edition 2nd
Language English
Print length 380 pages
ISBN-10 9780387790534
ISBN-13 978-0387790534
Item Weight 1.34 pounds (610 grams)
Dimensions 6.1 x 0.86 x 9.25 inches (15.5 x 2.2 x 23.5 cm)
Part of series Statistics and Computing

Para quem é indicado?

Suitable For
  • Beginners in Statistics

    Ideal for those new to statistics, offering clear explanations and practical examples in R programming.

  • Students in Academia

    Perfect for college students pursuing courses in statistics, providing comprehensive coverage of essential concepts.

  • Data Analysts

    Beneficial for data analysts seeking to enhance their statistical knowledge using R for professional applications.

Not Suitable For
  • Advanced Statisticians

    Not suitable for experts who may find the content too basic and lacking in advanced statistical techniques.

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Probability & Statistics Editorial Review

Introductory Statistics with R (Statistics and Computing) serves as an essential guide for those looking to bridge the gap between statistics and programming in R. The author, Pete Dalgaard, brings a wealth of knowledge to this endeavor, making difficult concepts easier to grasp, especially with the associated ISwR package that provides valuable datasets and functions. However, this book is not intended as a stand-alone statistics course but is perfect for readers with basic statistical knowledge to learn how to apply these tools in R. Success hinges on active engagement with the material; mere reading won't suffice. Overall, readers have noted its clarity and the organization of content, allowing for both sequential reading and reference-based learning.

Comentários e avaliações dos clientes

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112 Avaliações dos clientes
  • 5 Estrela
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Prós

  • Clear and informative writing style throughout the book.
  • Well-organized chapters for easy navigation.
  • Accompanying ISwR package enhances practical learning.
  • Invaluable tips for advanced data handling in R.
  • Useful for both beginners and those familiar with R.

Contras

  • Primarily focused on health sciences examples throughout.

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