Book Image

Learning R Programming

By : Kun Ren
Book Image

Learning R Programming

By: Kun Ren

Overview of this book

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.
Table of Contents (21 chapters)
Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Managing the library of packages


In R, packages play an indispensable role in data analysis and visualization. In fact, R itself is only a tiny core and is built on several basic packages. A package is a container of predefined functions, which are often designed to be general enough to solve a certain range of problems. Using a well-designed package, we don't have to reinvent the wheel again and again, which allows us to focus more on the problem we are trying to solve.

R is powerful not only because of its rich source of packages, but also because of the well-maintained package archive system called The Comprehensive R Archive Network, or CRAN (http://cran.r-project.org/). The source code of R and thousands of packages is archived in this system. At the time of writing, there are 7,750 active packages on CRAN maintained by more than 4,500 package maintainers around the world. Every week, more than 100 packages will be updated and more than 2 million package downloads happen. You can check...