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Learning R Programming

You're reading from  Learning R Programming

Product type Book
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Pages 582 pages
Edition 1st Edition
Languages
Author (1):
Kun Ren Kun Ren
Profile icon Kun Ren

Table of Contents (21) Chapters

Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Quick Start 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

Conditional expressions


It is common that the logic of a program is not perfectly sequential but contains several branches dependent on certain conditions. Therefore, one of the most basic constructs of a typical programming language is its conditional expressions. In R, if can be used to branch the logic flow by logical conditions.

Using if as a statement

Like many other programming languages, the if expression works with a logical condition. In R, a logical condition is represented by an expression producing a single-element logical vector. For example, we can write a simple function check_positive that returns 1 if a positive number is provided and nothing otherwise:

check_positive <- function(x) { 
  if (x > 0) { 
    return(1) 
  } 
} 

In the preceding function, x > 0 is the condition to check. If the condition is satisfied, then the function returns 1. Let's verify the function with various inputs:

check_positive(1)
## [1] 1
check_positive(0...
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