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Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
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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
Toote üksikasjad
| 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?
-
Students and Learners
Perfect for students aiming to solidify their understanding of data analysis using R through practical examples.
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Data Analysts
Ideal for professionals who need to enhance their data visualization skills and apply statistical techniques effectively.
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Teachers and Educators
Beneficial for educators looking for comprehensive teaching materials and examples to guide students in data analysis.
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Complete Beginners
Not suitable for individuals with no prior experience in R or data analysis concepts, as it assumes some knowledge.
TOOTE KIRJELDUS
Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
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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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Plussid
- Useful for learning R
- Includes code examples
- Highlights common pitfalls
- Comprehensive reference
- Covers range of statistical applications
Miinused
- Not focused solely on statistics
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€ 67
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Omadused ja eelised
- 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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