دانلود کتاب Learning R Programming

Key Features* Explore the R language from basic types and data structures to advanced topics* Learn how to tackle programming problems and explore both functional and object-oriented programming techniques* Learn how to address the core problems of programming in R and leverage the most popular packages for common tasksBook DescriptionR is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset.Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques.What you will learn* Explore the basic functions in R and familiarize yourself with common data structures* Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization* Get acquainted with R’s evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression* Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems* Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis* Get to know high performance computing techniques such as parallel computing and Rcpp* Use web scraping techniques to extract information* Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and moreAbout the Author**Kun Ren** has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account:* https://github.com/renkun-ken* https://cn.linkedin.com/in/kun-ren-76027530* http://renkun.me/* http://renkun.me/formattable/* http://renkun.me/pipeR/* http://renkun.me/rlist/Table of Contents1. Quick Start2. Basic Objects3. Managing Your Workspace4. Basic Expressions5. Working with Basic Objects6. Working with Strings7. Working with Data8. Inside R9. Metaprogramming10. Object-Oriented Programming11. Working with Databases12. Data Manipulation13. High-Performance Computing14. Web Scraping15. Boosting Productivity