This is the code repository for R Data Structures and Algorithms, published by Packt.
Increase speed and performance of your applications with efficient data structures and algorithms
We begin by answering the fundamental question: why data structures? In this book, we cover not only classical data structures, but also functional data structures. This book covers the following exciting features:
- The intricacies of high performance and scalable programming using R
- The rationality behind data structures and algorithms
- Fundamentals of arrays and linked-based data structures
- Dynamic programming (Knapsack) and randomized algorithms
This easy-to-read book is packed with real-world examples, and with its fast-paced nature, it will improve the productivity of an R programmer and improve the performance of R applications. If you feel this book is for you, get your copy today!
You can purchase this book at Amazon, R Data Structures and Algorithms
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
if (test expression)
{
Statement upon condition is true
}
You will need a good understanding of R or another programming language. Preliminary experience of programming and data analysis will be helpful as well. You will need to appreciate algorithms that can be applied in scale to build applications.
Package in R can be installed using install.packages(“Package-name”)
With the following software and hardware list you can run all code files present in the book (Chapter 1-10)
| Chapter | Software required | OS required |
|---|---|---|
| 1 | R version 3.3.0 | Windows, Mac OS X, and Linux (Any) |
| 2 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Dr. PKS Prakash
Dr. PKS Prakash is a data scientist and author.He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates and is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK.
Achyutuni Sri Krishna Rao
Achyutuni Sri Krishna Rao is a data scientist, a civil engineer, and an author. He has spent the last 4 years in developing many data science solutions to solve problems for leading companies in the healthcare, pharmaceutical and manufacturing domain. He currently works as data science consultant at ZS Associates.
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If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.