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)

Summary

In this chapter, we discussed the benefits of automating tasks as well as content creation. We showed how to integrate automation pipelines for content creation, how to write R Markdown documents, which provide dynamic content, and how to use these documents to produce documents and presentations that look nice and are efficient. We showed how to integrate various R resources to create content that can be updated automatically.

In case you want to develop documents that are more technical or lengthy, the bookdown package may be a good option for you. Its purpose is to make the creation of lengthy documents, such as books, easier using R Markdown. As a matter of fact, this book was written using bookdown, and the process was a really nice one.

In the next chapter, we will start a new example focused on evaluating cryptocurrency trades. We will start by building an object...