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)

The architecture behind our cryptocurrencies system

Now that the fundamentals for object-oriented programming with R have been illustrated, we will take those principles and apply them to the example we will work with for the rest of the book. We will build a system to track cryptocurrencies with object-oriented programming. If you're not familliar with cryptocurrencies, read the beginning of this chapter for a brief introduction.

The design and implemention you will see in this example evolved over various iterations and weeks. It's actually a part of the basic system I initially used in CVEST (https://www.cvest.tech/) to offer a single point of truth for users managing a diverse set of cryptocurrencies (although it was not implemented in R), so don't feel that you should be able to come up with a design like this right away (although many people certainly are...