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 a secondary zoom-in graph

Finally, we are going to add some interactivity to our graph by implementing another similar graph, which will exhibit a zoom-in effect on the one we created before. The idea is that we can select an area of the graph we just created and the one we will place below it will update to only show the specific area we have selected. Seems interesting, doesn't it?

To accomplish this, we need to modify the plotOutput() we inserted at the end of the previous section to include a brush parameter with a call to the brushOpts() function, which in turn receives the name of the unique identifier for the brush input we are creating. This parameter is used to create a special type of input, which retrieves a selected area from the graph shown in the web browser. We also add another fluidRow() with another plotOutput() just below it to...