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R For Everyone: Advanced Analytics And Graphics (Addisonwesley Data & Analytics Series),New
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Using 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
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For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of the book? A: The book has five hundred sixty pages. This length provides ample content for both beginners and advanced users of R.
- Q: What are the dimensions of this book? A: The book measures six point nine inches in length, zero point ninety-one inches in width, and nine point zero two inches in height. These dimensions make it portable and easy to handle.
- Q: What type of binding does this book have? A: The book is available in paperback binding. This makes it flexible and lightweight, suitable for reading on the go.
- Q: How do I start using R for data analysis? A: To start using R, first download and install the R software. The book guides you through the installation process and basic usage.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for beginners. It introduces R programming and statistical modeling in a simple and intuitive manner.
- Q: What programming skills do I need to use this book? A: No prior programming skills are required. The book starts with the absolute basics, making it accessible for newcomers.
- Q: How can I keep this book in good condition? A: To keep the book in good condition, store it in a cool, dry place and avoid exposure to direct sunlight. Handle it gently to prevent wear.
- Q: Is this book safe for children? A: Yes, the book is safe for children interested in programming. However, adult supervision may help younger readers understand complex topics.
- Q: Can I return the book if I am not satisfied? A: Yes, you can return the book if you are not satisfied, typically within a specified return period. Check the seller's return policy for details.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact customer service for a replacement or refund. Keep all packaging materials for reference.
- Q: How does this book compare to other R programming books? A: This book is tailored for beginners and emphasizes practical applications. It focuses on the essential twenty percent of R functionality needed for eighty percent of tasks.
- Q: Is this book useful for experienced R users? A: Yes, experienced users may find the book useful for refreshing their knowledge and exploring new techniques in a structured way.
- Q: Will this book help me with data visualization? A: Yes, the book covers creating attractive statistical graphics using R. It provides hands-on practice with visualization techniques.
- Q: How do I install R and RStudio? A: Instructions for installing R and RStudio are included in the book. Follow the step-by-step guide to ensure a smooth installation.
- Q: What statistical concepts are covered in this book? A: The book covers fundamental statistical concepts including probability distributions, linear models, and methods for assessing model quality.
- Q: Are there exercises included in this book? A: Yes, the book includes hands-on practice exercises and sample code to reinforce learning and help you apply concepts in real scenarios.