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)

Adding Interactivity with Dashboards

Shiny enables you to write powerful interactive web applications entirely in R. Using R, you can create a user interface and server, and Shiny will compiler your R code into the HTML, CSS, and JavaScript code needed to display your application on the web. What makes a Shiny application particularly powerful is that it can execute R code on the backend, so your application can perform any R calculation you can run on your desktop. You may want your application to process some data based on user inputs and provide some interactivity to make data analysis more intuitive. In this chapter, we will show you how to accomplish this.

Shiny implements the functional reactive programming paradigm that powers many of today's most modern web applications. We will explain what it is and how it works within Shiny. We will show how to work with streams...