Key FeaturesExplore the R language from basic types and data structures to advanced topicsLearn how to tackle programming problems and explore both functional and object-oriented programming techniquesLearn 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 youll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. Youll get to grips with Rs 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 Rs behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, youll be a confident R programmer adept at solving problems with the right techniques.What you will learnExplore the basic functions in R and familiarize yourself with common data structuresWork with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimizationGet acquainted with Rs evaluation model with environments and meta-programming techniques with symbol, call, formula, and expressionGet to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systemsAccess relational databases such as SQLite and non-relational databases such as MongoDB and RedisGet to know high performance computing techniques such as parallel computing and RcppUse web scraping techniques to extract informationCreate RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and moreAbout the AuthorKun 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-kenhttps://cn.linkedin.com/in/kun-ren-76027530http://renkun.me/http://renkun.me/formattable/http://renkun.me/pipeR/http://renkun.me/rlist/Table of ContentsQuick StartBasic ObjectsManaging Your WorkspaceBasic ExpressionsWorking with Basic ObjectsWorking with StringsWorking with DataInside RMetaprogrammingObject-Oriented ProgrammingWorking with DatabasesData ManipulationHigh-Performance ComputingWeb ScrapingBoosting Productivity