Using R for Introductory Statistics (Chapman & Hall/CRC The R Series),Used
Using R for Introductory Statistics (Chapman & Hall/CRC The R Series),Used
Using R for Introductory Statistics (Chapman & Hall/CRC The R Series),Used

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series),Used

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The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, taskoriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.See Whats New in the Second Edition:Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computerintensive approaches motivates the traditional approach. Updated examples and data make the information current and topical.The book has an accompanying package, UsingR, available from CRAN, Rs repository of usercontributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.The topics of this text line up closely with traditional teaching progression; however, the book also highlights computerintensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the page count of the book? A: The book has five hundred eighteen pages. This comprehensive length allows for in-depth coverage of introductory statistics using R.
  • Q: What are the dimensions of the book? A: The book measures six inches in length, one inch in width, and nine point zero two inches in height. These dimensions make it a manageable size for students.
  • Q: What type of binding does the book have? A: The book is hardcover. This binding type adds durability, making it suitable for frequent use in classrooms or study sessions.
  • Q: How do I use this book effectively? A: To use this book effectively, follow the task-oriented steps outlined in each chapter. This approach helps you learn R and introductory statistics sequentially.
  • Q: Is this book suitable for beginners? A: Yes, this book is designed for beginners. It breaks down complex concepts into manageable tasks, making it accessible for those new to R and statistics.
  • Q: Can I use this book for self-study? A: Yes, this book is ideal for self-study. The structured format and clear examples allow independent learners to grasp statistical concepts and R programming.
  • Q: How should I care for this book? A: To care for the book, keep it in a dry, cool place and avoid exposing it to moisture. This will help maintain its condition over time.
  • Q: What if the book gets damaged? A: If the book arrives damaged, you should contact the retailer for return instructions. Most retailers have policies in place for damaged items.
  • Q: Is there a warranty for this book? A: No, books typically do not come with warranties. However, you can check with the retailer for their return policy for defective copies.
  • Q: Are there any safety concerns with this book? A: No, there are no safety concerns with this book. It is a standard educational textbook meant for learning statistics.
  • Q: How does this book compare to other statistics textbooks? A: This book emphasizes using R for statistical analysis, making it distinct from others that may focus on theory. It's practical for hands-on learners.
  • Q: Is this book suitable for advanced learners? A: No, this book is primarily for beginners. Advanced learners may find it too basic, as it covers introductory concepts in statistics.
  • Q: What topics are covered in this book? A: The book covers a range of introductory statistics topics, including data analysis, visualization, and computer-intensive approaches. It's comprehensive for beginners.
  • Q: Does this book come with additional resources? A: Yes, the book has an accompanying package called UsingR, which provides data sets and answers to problems. This enhances the learning experience.
  • Q: Can I use this book with RStudio? A: Yes, the book includes discussions on using RStudio. It helps new users avoid common pitfalls while working with R.
  • Q: What makes this book unique? A: This book is unique due to its emphasis on idiomatic R and computer-intensive approaches, providing a modern perspective on statistical education.

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