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R For Everyone: Advanced Analytics And Graphics (Addisonwesley Data And Analytics),New
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Statistical Computation For Programmers, Scientists, Quants, Excel Users, And Other Professionalsusing The Open Source R Language, You Can Build Powerful Statistical Models To Answer Many Of Your Most Challenging Questions. R Has Traditionally Been Difficult For Nonstatisticians To Learn, And Most R Books Assume Far Too Much Knowledge To Be Of Help. R For Everyone Is The Solution.Drawing On His Unsurpassed Experience Teaching New Users, Professional Data Scientist Jared P. Lander Has Written The Perfect Tutorial For Anyone New To Statistical Programming And Modeling. Organized To Make Learning Easy And Intuitive, This Guide Focuses On The 20 Percent Of R Functionality Youll Need To Accomplish 80 Percent Of Modern Data Tasks.Landers Selfcontained Chapters Start With The Absolute Basics, Offering Extensive Handson Practice And Sample Code. Youll Download And Install R; Navigate And Use The R Environment; Master Basic Program Control, Data Import, And Manipulation; And Walk Through Several Essential Tests. Then, Building On This Foundation, Youll Construct Several Complete Models, Both Linear And Nonlinear, And Use Some Data Mining Techniques.By The Time Youre Done, You Wont Just Know How To Write R Programs, Youll Be Ready To Tackle The Statistical Problems You Care About Most.Coverage Includes Exploring R, Rstudio, And R Packages Using R For Math: Variable Types, Vectors, Calling Functions, And More Exploiting Data Structures, Including Data.Frames, Matrices, And Lists Creating Attractive, Intuitive Statistical Graphics Writing Userdefined Functions Controlling Program Flow With If, Ifelse, And Complex Checks Improving Program Efficiency With Group Manipulations Combining And Reshaping Multiple Datasets Manipulating Strings Using Rs Facilities And Regular Expressions Creating Normal, Binomial, And Poisson Probability Distributions Programming Basic Statistics: Mean, Standard Deviation, And Ttests Building Linear, Generalized Linear, And Nonlinear Models Assessing The Quality Of Models And Variable Selection Preventing Overfitting, Using The Elastic Net And Bayesian Methods Analyzing Univariate And Multivariate Time Series Data Grouping Data Via Kmeans And Hierarchical Clustering Preparing Reports, Slideshows, And Web Pages With Knitr Building Reusable R Packages With Devtools And Rcpp Getting Involved With The R Global Community
⚠️ 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: How many pages are in 'R for Everyone'? A: This book has four hundred thirty-two pages. It provides a comprehensive guide for learning the R programming language.
- Q: What is the size of the book? A: The book measures seven point twenty-five inches in length, nine point twenty-five inches in height, and zero point fifty-one inches in width.
- Q: What type of binding does this book have? A: This book is available in paperback binding. This format is lightweight and easy to handle.
- Q: How do I get started with R programming? A: Begin by downloading and installing R. The book provides step-by-step guidance on navigating the R environment and basic programming concepts.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for beginners. It focuses on essential R functionalities that newcomers need to tackle data tasks.
- Q: What are the main topics covered in the book? A: Main topics include statistical modeling, data manipulation, and creating graphics using R. It also covers foundational programming concepts.
- Q: How should I care for this book? A: Keep the book in a dry, cool place to prevent wear. Avoid exposing it to excessive moisture or sunlight to maintain its condition.
- Q: Are there any specific storage recommendations? A: Store the book upright on a shelf with similar-sized books to avoid bending. This helps preserve its form and readability.
- Q: What if the book arrives damaged? A: If the book is damaged upon arrival, you can typically return it within a specified period. Check the seller's return policy for details.
- Q: What is the return policy for this book? A: Return policies vary by seller, but many allow returns within thirty days of purchase. Make sure to keep your receipt for any returns.
- Q: Can I use this book for advanced R programming? A: While this book is primarily for beginners, it includes advanced topics like data mining. This makes it useful for users progressing in their skills.
- Q: Is this book suitable for professionals? A: Yes, professionals can benefit from the practical applications and hands-on exercises included in the book, making it a valuable resource.
- Q: Does this book include hands-on practice? A: Yes, it provides extensive hands-on practice and sample code for readers. This is crucial for effectively learning R programming.
- Q: What if I need help while learning R? A: You can seek help from the R global community online. The book encourages engagement with various forums and resources for additional support.
- Q: Are there any prerequisites to reading this book? A: No formal prerequisites are required. The book is tailored for those with little to no background in statistical programming.