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

Loop expressions


Loop (or iteration) evaluates an expression repeatedly by either iterating over a vector (for) or checking whether a condition is violated (while).

Such language constructs largely reduce the redundancy of the code if the same task is run over and over again each time with some changes in input.

Using the for loop

The for loop evaluates an expression by iterating over a given vector or list. The syntax of a for loop is as follows:

for (var in vector) { 
  expr 
} 

Then, expr will be evaluated iteratively, with var taking the value of each element of vector in turn. If vector has n elements, then the preceding loop is equivalent to evaluating:

var <- vector[[1]] 
expr 
var <- vector[[2]] 
expr 
... 
var <- vector[[n]] 
expr 

For example, we can create a loop to iterate over 1:3 with iterator variable i. In each iteration, we will show text on the screen to indicate the value of i:

for (i in 1:3) {
cat("The value of...