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)

A brief introduction to object-oriented programming

As statisticians and data scientists, we strive to build systems that produce valuable insights. To accomplish this, we normally use two tools—mathematics and computers. This book was developed for people who are comfortable with the mathematics side but feel that their R programming skills need improvement.

Normally, when people with mathematical backgrounds are introduced to programming, they are introduced through a functional approach, which means that they think in terms of algorithms with inputs and outputs, which are implemented as functions. This way of working is intuitive if you come from a mathematical background and are not dealing with high level abstractions, and it is the way we have been working throughout the book up to this point.

This chapter will show a different way of programming called object-oriented...