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

Understanding lazy evaluation


A big part of understanding how R works can be done by figuring out how R functions work. After going through the previous chapters, you should know the most commonly used basic functions. However, you may still be confused about their exact behavior. Suppose we create the following function:

test0 <- function(x, y) {
  if (x > 0) x else y
} 

The function is somewhat special because y seems to be needed only when x is greater than zero. What if we only supply a positive number to x and ignore y? Will the function fail because we don't supply every argument in its definition? Let's find out by calling the following function:

test0(1)
## [1] 1 

The function works without y being supplied. It looks like we are not required to supply the values to all arguments when we call a function but only to those that are needed. If we call test0 with a negative number, y is needed:

test0(-1)
## Error in test0(-1): argument "y" is missing,...