Book Image

R Programming By Example

By : Omar Trejo Navarro
Book Image

R Programming By Example

By: Omar Trejo Navarro

Overview of this book

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable.
Table of Contents (12 chapters)

Finally introducing users with S3 classes

Our object-oriented system is almost finalized. We're only missing the User definition. In this case, we will use S3 to define the User class. The user_constructor() function takes an email and a Storage instance in storage to create a User instance. However, before it does, it checks that the email is valid with the valid_email() function defined below. After the user has been created, the get_wallets() method is called upon it to get the wallets associated to the user before it's sent back.

The valid_email() function simply receives a string which is supposed to be an email address, and checks whether at least one @ and one . symbol are contained within it. Of course, this is not a robust mechanism to check whether or not it's an email address, and it's put here just to illustrate how a checking mechanism could be...