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Learning R Programming

Learning R Programming

Download Learning R Programming pdf

  • Title Learning R Programming
  • Author(s) Kun Ren 
  • Publisher:  Packt Publishing (July 16, 2021)
  • Paperback: 582 pages
  • Language: English
  • ISBN-10 ‏ : ‎ 178588977X
  • ISBN-13 ‏ : ‎ 978-1785889776

Book Description – Learning R Programming

Download Learning R Programming pdf – R is a high-level functional language that’s a must-have for data scientists and statisticians. R is a powerful but complex language that can be difficult to learn for beginners and people unfamiliar with its peculiar characteristics. The solution is to study R programming, which is a simple and practical way to learn the language and create a broad and consistent grasp of it. You’ll learn about powerful R tools and R best practices through hands-on examples, which will help you gain a better knowledge of how to interact with data. You’ll learn R’s data structures and data processing techniques, as well as the most popular R packages, so you can start working faster right away.

Begin by learning the fundamentals of R, then go into advanced programming techniques and paradigms to make your R code shine. Learn popular activities including data analysis, databases, web scraping, high-performance computing, and document creation to quickly gain a deeper grasp of R’s behavior. You’ll be a confident R programmer capable of addressing problems using the proper strategies by the conclusion of the book.

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  • Learn how to use R’s fundamental functions and become familiar with common data structures.
  • In R, use fundamental statistics, data mining, data visualisation, root solving, and optimization tools to work with data.
  • Learn about R’s evaluation paradigm, which includes environments and meta-programming techniques such as symbol, call, formula, and expression.
  • Learn how to programme in R using object-oriented methods, including the S3, S4, RC, and R6 systems.
  • Access relational and non-relational databases, such as SQLite and MongoDB and Redis.
  • Learn about parallel computing and Rcpp, two high-performance computing approaches.
  • To extract information, use web scraping tools.
  • Make an interactive app with RMarkdown, Shiny, DiagramR, interactive charts, ggvis, and other tools.

About the Author

Kun Ren has been using R in quantitative trading for about four years, together with C++ and C#, and he has worked very hard (more than eight to ten hours per day) on useful R packages that the community does not currently supply. He adds to packages created by other authors and reports problems in order to improve things. He’s also a regular speaker at R conferences in China, where he’s presented a number of sessions. Kun is also very active on social media. He has also made significant contributions to a number of projects, as evidenced by 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/
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