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

Summary


In this chapter, you learned the syntax of assignment, conditional expressions, and loops. In the section on assignment, you got to know the naming rules of variables and how to walk around. In the section on conditional expressions, you learned how to use the if statement as either a statement or an expression, and how ifelse()is distinct from if when dealing with vectors. In the section on loops, you learned about the similarities and differences between for loops and while loops. Now, we are equipped with the basic expressions to control the logic flow of an R program.

In the next chapter, you will use what you learned in the previous chapters and see what you can do with the basic objects representing data and basic expressions representing our logic. You will learn about basic functions in various categories as the building blocks of data transformation and statistical analysis.