Omar Trejo Navarro - R Programming By Example

BIRMINGHAM - MUMBAI

Copyright 2017 Packt Publishing

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First published: December 2017

Production reference: 1201217

ISBN 978-1-78829-254-2

www.packtpub.com

Omar Trejo Navarro is a data consultant. He co-founded Datata ( datata.mx ), is actively working on CVEST (cvest.tech), and maintains a personal website ( otrenav.com ). He is an applied mathematics and economics double major from ITAM ( itam.mx ) in Mexico City, where he continues to work as a research assistant. He does software development with a focus on data platforms, data science, and web applications. He has worked with clients from all over the world, and is a keen supporter of open source, open data, and open science in general. He can be reached through his personal website ( otrenav.com ).

Peter C. Figliozzi, PhD, is a professional data scientist and software developer. He works on problems in many areas, including anomaly detection, automated trading, and fraud prevention. Peter uses R through RStudio for ad hoc analysis, modeling, and visualization.

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In a world where data is becoming increasingly important, data analysts, scientists, and business people need tools to analyze and process large volumes of data efficiently. This book is my attempt to pass on what I've learned so far, so that you can quickly become an effective and efficient R programmer. Reading it will help you understand how to use R to solve complex problems, avoid some of the mistakes I've made, and teach you useful techniques that can be helpful in a variety of contexts. In the process, I hope to show you that, despite its uncommon aspects, R is an elegant and powerful language, and is well suited for data analysis and statistics, as well as complex systems.

After reading this book, you will be familiar with R's fundamentals, as well as some of its advanced features. You will understand data structures, and you will know how to efficiently deal with them. You will also understand how to design complex systems that perform efficiently, and how to make these systems usable by other people through web applications. At a lower level, you will understand how to work with object-oriented programming, functional programming, and reactive programming, and what code may be better written in each of these paradigms. You will learn how to use various cutting edge tools that R provides to develop software, how to identify performance bottlenecks, and how to fix them, possibly using other programming languages such as Fortran and C++. Finally, you will be comfortable reading and understanding the majority of R code, as well as provide feedback for others' code.

, Introduction to R, covers the R basics you need to understand the rest of the examples. It is not meant to be a thorough introduction to R. Rather, it's meant to give you the very basic concepts and techniques you need to quickly get started with the three examples contained in the book, and which I introduce next.