Learning R Programming
Become an efficient data scientist with R
Language - English
Updated on Oct, 2020
Development,Programming Languages,Programming Languages Other
About the Book
Book description
R 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.
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 tasks
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 more
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