Book Image

R Data Structures and Algorithms

By : PKS Prakash, Achyutuni Sri Krishna Rao
Book Image

R Data Structures and Algorithms

By: PKS Prakash, Achyutuni Sri Krishna Rao

Overview of this book

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.
Table of Contents (17 chapters)
R Data Structures and Algorithms
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface

Functional data structure


Functional data structures are special forms of data structure, which are implemented primarily in functional programming languages. R supports functional programming by providing tools for creation and manipulation of functions. For example, R support assigning functions to variables and passing them as an argument within a function. The R support generating the function dynamically and returning them as a result of the function is also known as a closure function. For example, the function which takes a function as an argument is shown as follows:

arg_function <- function(g) g(seq(1, 100, by=1))

The function arg_function can take functions as an argument, such as mean or sd as shown in the following code snippet:

> arg_function(mean)
[1] 50.5
> arg_function(sd)
[1] 29.01149

The functional data structure is also known as persistent data structure as they are immutable in the sense that any operation performed on function data structure will create a new...