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 relationship with algorithms, followed by their analysis and evaluation. This book intends to cover not only the classical data structures, but also understand the integrities of functional data structures. We will cover the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, followed by topics such as indexing, sorting, and searching in depth. Readers will also be exposed to advanced topics such as graphs, dynamic programming, and randomized algorithms.

The objective of this book is to build data structure concepts using R.