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

Chapter 7. Working with Data

In the previous chapters, you learned the most commonly used object types and functions to work in R. We know how to create and modify vectors, lists, and data frames, how to define our own functions and how to use proper expressions to translate our logic in mind to R code in the editor. With these objects, functions, and expressions, we can start working with data.

In this chapter, we will set out on a journey of working with data and cover the following topics:

  • Reading and writing data in a file

  • Visualizing data with plot functions

  • Analyzing data with simple statistical models and data mining tools