R Data Structures and Algorithms

Dr. PKS Prakash, Achyutuni Sri Krishna Rao

• Éditeur: Packt Publishing
• Année: 2016
• ISBN:
  9781786465153
• Édition: 1
• Sujet: Computer Science
• Sous-sujet: Programming Algorithms

Increase speed and performance of your applications with efficient data structures and algorithms

About This Book

• See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples
• Find out about important and advanced data structures such as searching and sorting algorithms
• Understand important concepts such as big-o notation, dynamic programming, and functional data structured

Who This Book Is For

This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected.

What You Will Learn

• Understand the rationality behind data structures and algorithms
• Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis
• Get to know the fundamentals of arrays and linked-based data structures
• Analyze types of sorting algorithms
• Search algorithms along with hashing
• Understand linear and tree-based indexing
• Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm
• Understand dynamic programming (Knapsack) and randomized algorithms

In Detail

In this book, we cover not only classical data structures, but also functional data structures.

We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth.

Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors.

With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort.

Style and approach

This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.

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

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Birmingham

B3 2PB, UK.

ISBN 978-1-78646-515-3

www.packtpub.com

Credits

Authors Dr. PKS Prakash Achyutuni Sri Krishna Rao	Copy Editor Sonia Mathur
Reviewer Dr. Vahid Mirjalili	Project Coordinator Suzanne Coutinho
Commissioning Editor Kunal Parikh	Proofreader Safis Editing
Acquisition Editor Denim Pinto	Indexer Rekha Nair
C ontent De velopment Editor Siddhi Chavan	Graphics Jason Monteiro Kirk D'Penha
Technical Editor Sunith Shetty	Production Coordinator Aparna Bhagat

About the Authors

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.

Acknowledgments

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.

About the Reviewer

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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Preface

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...