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)

What is functional reactive programming and why is it useful?

Let's start with the reactive programming part. Reactive programming is programming with asynchronous data streams. We start by defining these terms at a general level.

A stream is a sequence of ongoing events ordered in time. In reality, almost anything can be thought of as a stream, but simple examples are balls bouncing, where an event is considered every time a ball hits the floor. It can happen repeatedly many times, without specific patterns, stop for a while, then continue, and then stop again. Users clicking in a website is also a stream, where each click is an event. As you can imagine, there are streams everywhere around us.

The other term that needs to be defined is asynchronous, which literally means without syncronization. Normally, synchronous functions wait at the line of a function call until the...