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)

Developing our own graph type – radar graphs

This section will take our graph functions to the next level as we develop our own custom graph type. The ggplot2 package does not have a way to produce radar graphs by default, so we will develop it ourselves during this section. There are packages that extend ggplot2 with radar graph capabilities (for example, ggradar), but we will show how to create it yourself from scratch. After reading this section, you'll be equipped to develop complex graphs on your own.

Radar graphs are plotted on a circular canvas and can show many variables values at the same time. They form a radar-looking shape and are useful if you want to compare different variable values among various entities. Sometimes they are used to visually get a sense of how similar or different entities are. If you're not familiar with this type of graphs, there...