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

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...