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)

Summary

In this chapter, we established the fundamentals of the food sales example by presenting the general scenario for The Food Factory: what they do, what they want to accomplish, and, most importantly, how to simulate the data we will need for the rest of the example. We went over various techniques to simulate different kinds of data, like numbers, categories, strings, and dates. The approach we showed is flexible enough to allow you to simulate many different kinds of data in modular and incremental ways. We also showed how to allow flexibility for different assumptions about the simulation to easily take place by using parameter objects. We learned how to create functions that are useful for different scenarios, and how to mix our simulated data with data coming from external sources. Finally, we learned how to work with external MySQL databases.

We are ready to take on...