Title
R In Action: Data Analysis And Graphics With R
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Summaryr In Action, Second Edition Presents Both The R Language And The Examples That Make It So Useful For Business Developers. Focusing On Practical Solutions, The Book Offers A Crash Course In Statistics And Covers Elegant Methods For Dealing With Messy And Incomplete Data That Are Difficult To Analyze Using Traditional Methods. You'Ll Also Master R'S Extensive Graphical Capabilities For Exploring And Presenting Data Visually. And This Expanded Second Edition Includes New Chapters On Time Series Analysis, Cluster Analysis, And Classification Methodologies, Including Decision Trees, Random Forests, And Support Vector Machines.Purchase Of The Print Book Includes A Free Ebook In Pdf, Kindle, And Epub Formats From Manning Publications.About The Technologybusiness Pros And Researchers Thrive On Data, And R Speaks The Language Of Data Analysis. R Is A Powerful Programming Language For Statistical Computing. Unlike Generalpurpose Tools, R Provides Thousands Of Modules For Solving Just About Any Datacrunching Or Presentation Challenge You'Re Likely To Face. R Runs On All Important Platforms And Is Used By Thousands Of Major Corporations And Institutions Worldwide.About The Bookr In Action, Second Edition Teaches You How To Use The R Language By Presenting Examples Relevant To Scientific, Technical, And Business Developers. Focusing On Practical Solutions, The Book Offers A Crash Course In Statistics, Including Elegant Methods For Dealing With Messy And Incomplete Data. You'Ll Also Master R'S Extensive Graphical Capabilities For Exploring And Presenting Data Visually. And This Expanded Second Edition Includes New Chapters On Forecasting, Data Mining, And Dynamic Report Writing.What'S Insidecomplete R Language Tutorial Using R To Manage, Analyze, And Visualize Data Techniques For Debugging Programs And Creating Packages Oop In R Over 160 Graphsabout The Authordr. Rob Kabacoff Is A Seasoned Researcher And Teacher Who Specializes In Data Analysis. He Also Maintains The Popular Quickr Website At Statmethods.Net.Table Of Contentspart 1 Getting Started Introduction To R Creating A Dataset Getting Started With Graphs Basic Data Management Advanced Data Management Part 2 Basic Methods Basic Graphs Basic Statistics Part 3 Intermediate Methods Regression Analysis Of Variance Power Analysis Intermediate Graphs Resampling Statistics And Bootstrapping Part 4 Advanced Methods Generalized Linear Models Principal Components And Factor Analysis Time Series Cluster Analysis Classification Advanced Methods For Missing Data Part 5 Expanding Your Skills Advanced Graphics With Ggplot2 Advanced Programming Creating A Package Creating Dynamic Reports Advanced Graphics With The Lattice Package Available Online Only From Manning.Com/Kabacoff2
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- Q: How many pages does this book have? A: This book has six hundred eight pages. It provides extensive coverage of data analysis using R.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and easy to handle.
- Q: What are the dimensions of this book? A: The dimensions are seven point three eight inches in length, one point three inches in width, and nine point two five inches in height. These measurements make it a convenient size for reading.
- Q: How do I get started with R from this book? A: You can start by following the introductory chapters that cover creating datasets and basic data management. The book is structured to guide you step by step.
- Q: Is this book suitable for beginners in data analysis? A: Yes, this book is suitable for beginners. It includes a crash course in statistics and practical examples relevant to new learners.
- Q: Can I use this book for advanced data analysis techniques? A: Yes, the book covers advanced methods such as regression and time series analysis. It is beneficial for both beginners and experienced users.
- Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place away from direct sunlight. This will help preserve its physical condition and prevent fading.
- Q: Is there a warranty or return policy for this book? A: Return policies may vary by seller. Typically, you can return the book within a specified period if it is in good condition.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange. Most reputable sellers will assist you with this.
- Q: How do I care for the paperback binding? A: To care for the paperback binding, avoid bending the cover and store it upright on a shelf. This will help maintain its shape.
- Q: Is this book appropriate for academic use? A: Yes, this book is appropriate for academic use. It provides comprehensive insights into data analysis and is used by students and professionals alike.
- Q: Does this book include any online resources? A: Yes, the purchase includes access to online resources, enhancing your learning experience. This may include additional materials related to the book.
- Q: What topics are covered in the advanced sections of the book? A: The advanced sections cover topics like generalized linear models and advanced graphics techniques. This is ideal for users looking to deepen their understanding.
- Q: Can I use this book for learning R programming? A: Yes, this book serves as a tutorial for learning R programming. It includes practical examples to help you understand the language.
- Q: Is the author a credible source on this subject? A: Yes, the author, Dr. Rob Kabacoff, is a seasoned researcher and teacher specializing in data analysis, making him a credible source.