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)

The basic tools for an automation pipeline

A pipeline is a process that starts with text, code, and raw data, and ends with the final document or presentation we want to show or distribute. Luckily, much of the hard work is automated for you within R, so there's not much you need to do other than install these tools and set up a compilation file.

Our pipeline should be general enough to accommodate various use cases without having to be modified substantially. If it is, we can master one set of tools and reuse them for different projects rather than learning a new tool set each time. On the input side, using text, code, and data, is general enough. On the output side, being able to generate HTML, PDF, LaTeX, and even Word documents seems to be general enough so we are good to go.

Markdown is a low-overhead mark-up language (http://spec.commonmark.org/0.28/). Its main benefit...