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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

Vector


A vector is a group of primitive values of the same type. It can be a group of numbers, true/false values, texts, and values of some other type. It is one of the building blocks of all R objects.

There are several types of vectors in R. They are distinct from each other in the type of elements they store. In the following sections, we will see the most commonly used types of vectors including numeric vectors, logical vectors, and character vectors.

Numeric vector

A numeric vector is a vector of numeric values. A scalar number is the simplest numeric vector. An example is shown as follows:

1.5
## [1] 1.5

A numeric vector is the most frequently used data type and is the foundation of nearly all kinds of data analysis. In other popular programming languages, there are some scalar types such as integer, double, and string, and these scalar types are the building blocks of the container types such as vectors. In R, however, there is no formal definition of scalar types. A scalar number...

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