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 5. Working with Basic Objects

In the previous chapters, you learned how to create several basic types of objects, including atomic vectors, lists, and data frames to store data. You learned how to create functions to store logic. Given these building blocks of R script, you learned about different types of expressions to control the flow of logic involving basic objects. Now, we are getting familiar with the basic grammar and syntax of the R programming language. It's time to build a vocabulary of R using built-in functions to work with basic objects.

The real power of R lies in the enormous amount of functions it provides. Getting to know a variety of basic functions is extremely useful, and it will save you time and boost your productivity.

Although R is mainly a statistical computing environment, many basic functions are not related to any statistics but to more fundamental tasks such as inspecting the environment, converting texts to numbers, and performing logical operations.

In...