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R Data Structures and Algorithms
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R Data Structures and Algorithms
Copyright © 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2016
Production reference: 1141116
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78646-515-3
www.packtpub.com
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Dr. PKS Prakash has pursued his PhD in industrial and system engineering at Wisconsin-Madison, US. He defended his second PhD in engineering from University of Warwick, UK. He has provided data science support to numerous leading companies in healthcare, manufacturing, pharmaceutical, and e-commerce domains on a wide range of business problems related to predictive and prescriptive modeling, virtual metrology, predictive maintenance, root cause analysis, process simulations, fraud detection, early warning systems, and so on. Currently, he is working as the Vice President and Practice Lead for data science at Dream11. Dream11 offers the world's largest fantasy cricket, football, and kabaddi games of skill. He has published widely in research areas of operational research and management, soft computing tools, and advanced algorithms in the manufacturing and healthcare domains in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has contributed a chapter in Evolutionary Computing in Advanced Manufacturing and edited an issue of Intelligent Approaches to Complex Systems.
Achyutuni Sri Krishna Rao has an MS in enterprise business analytics (data science) from National University of Singapore. He has worked on a wide range of data science problems in the domain of manufacturing, healthcare and pharmaceuticals. He is an R enthusiast and loves to contribute to the open source community. His passions include freelancing, technical blogs (http://rcodeeasy.blogspot.com) and marathon runs. Currently he works as a data science consultant at a leading consulting firm.
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The completion of this book wouldn't have been possible without the participation and assistance of so many people whose names may not all be enumerated. Their contribution is sincerely appreciated and gratefully acknowledged. However, we would like to express our deep appreciation and indebtedness to all the members of the Packt team involved in this project. The book arose with an idea with an early discussion with Denim Pinto (acquisition editor), so we want to extend special thanks to him; without his input, this book would never have happened. We also want to thank Pooja Mhapsekar and Siddhi Chavan (content editor) and Sunith Shetty (technical editor) for ensuring the timely publication of this book. We would like to extend thanks to Vahid Mirjalili (reviewer), whose feedback has helped us tremendously improve this book.
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Dr. Vahid Mirjalili is a software engineer/data scientist, currently working toward his PhD in computer science at Michigan State University. His research at the Integrated Pattern Recognition and Biometrics (i-PRoBE) lab involves attribute classification of face images from large image datasets. Furthermore, he teaches Python programming, as well as computing concepts for data analysis and databases. With his specialty in data mining, he is very interested in predictive modeling and getting insights from data. He is also a Python developer and likes to contribute to the open source community. Furthermore, he enjoys making tutorials for different areas of data science and computer algorithms, which can be found in his GitHub repository (http://github.com/mirjalil/DataScience).
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Data structures represent a way to organize and access particular data efficiently. They are critical to any problem solving and provide a complete solution to implement reusable codes. R Data Structures and Algorithms aims at strengthening the data structure skills among R users working in the analytics and intelligence domains. R is a well-designed language and environment for statistical computing and graphics developed at Bell Laboratories (formerly AT&T, now Lucent Technologies). This book will allow users to design optimized algorithms from the computational efficiency and resource usage perspective of an algorithm. This book puts forward the processes of building algorithms by introducing several data structures and their relatio...
