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)

External requirements – software outside of R

Some of the R packages required to reproduce the code in this book have external dependencies, which can either be installation or execution dependencies. We will go through the installation of each external dependency in the following sections. Installing external dependencies is not difficult, but it may be an unfamiliar process that requires us to do some work outside of R. Once we install these external dependencies successfully, installing R packages should be easy.

Before we proceed, I just want to say that you won't always know in advance what external dependencies you need before attempting to install an R package. Normally, you will simply try to install the package and see what happens. If no problems arise, then you are all set. If problems do arise, the output from the console will hint you into what you need...