Title
The Art Of R Programming: A Tour Of Statistical Software Design
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R Is The World'S Most Popular Language For Developing Statistical Software: Archaeologists Use It To Track The Spread Of Ancient Civilizations, Drug Companies Use It To Discover Which Medications Are Safe And Effective, And Actuaries Use It To Assess Financial Risks And Keep Economies Running Smoothly.The Art Of R Programming Takes You On A Guided Tour Of Software Development With R, From Basic Types And Data Structures To Advanced Topics Like Closures, Recursion, And Anonymous Functions. No Statistical Knowledge Is Required, And Your Programming Skills Can Range From Hobbyist To Pro.Along The Way, You'Ll Learn About Functional And Objectoriented Programming, Running Mathematical Simulations, And Rearranging Complex Data Into Simpler, More Useful Formats. You'Ll Also Learn To: Create Artful Graphs To Visualize Complex Data Sets And Functions Write More Efficient Code Using Parallel R And Vectorization Interface R With C/C++ And Python For Increased Speed Or Functionality Find New Packages For Text Analysis, Image Manipulation, And Thousands More Squash Annoying Bugs With Advanced Debugging Techniqueswhether You'Re Designing Aircraft, Forecasting The Weather, Or You Just Need To Tame Your Data, The Art Of R Programming Is Your Guide To Harnessing The Power Of Statistical Computing.
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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 Art of R Programming? A: The book has four hundred pages. It provides a comprehensive guide to software development using the R programming language.
- Q: What type of binding does this book have? A: This book is a paperback edition. Paperback bindings are flexible and lightweight, making it easy to carry around.
- Q: What are the dimensions of this book? A: The dimensions are eight and a half inches in length, zero point ninety-one inches in width, and eleven inches in height. These dimensions make it a standard size for reference books.
- Q: How do I start learning R programming with this book? A: You can start by reading the introductory chapters that cover the basics of R. The book is designed for beginners and does not require prior statistical knowledge.
- Q: Is this book suitable for someone with no programming experience? A: Yes, it is suitable for beginners. The Art of R Programming caters to readers with various skill levels, including those new to programming.
- Q: Can I use this book for advanced R programming techniques? A: Yes, the book covers advanced topics like closures and recursion. Readers will find valuable insights even if they have prior experience in programming.
- Q: How should I care for this paperback book? A: To keep it in good condition, store it in a dry place and avoid exposing it to direct sunlight. This will help prevent fading and damage.
- Q: Is this book safe for kids to read? A: Yes, it contains no inappropriate content. However, it is more suited for older children and adults interested in programming.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact the seller for a return or exchange. Most sellers provide a return policy for damaged items.
- Q: Are there any special features in this book? A: Yes, it includes techniques for creating graphs and debugging code. These features enhance the learning experience for readers.
- Q: Who is the author of The Art of R Programming? A: The author is Norman Matloff. He is recognized for his expertise in R programming and statistical computing.
- Q: What genre does this book fall under? A: This book falls under the Business Technology genre. It focuses on statistical software design and programming.
- Q: Does this book provide examples and exercises? A: Yes, it includes practical examples and exercises to reinforce learning. Readers can practice coding along with the content.
- Q: Is this book recommended for data science professionals? A: Yes, it is recommended for professionals in data science. The techniques covered are applicable to real-world data analysis.
- Q: How do I visualize data using this book? A: The book teaches you to create artful graphs. You will learn various techniques to visualize complex data sets effectively.