Jaynal Abedin - Modern R Programming Cookbook: Recipes to simplify your statistical applications (English Edition)

BIRMINGHAM - MUMBAI

Copyright 2017 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 author, 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: October 2017

Production reference: 1051017

ISBN 978-1-78712-905-4

www.packtpub.com

Jaynal Abedin is currently doing research as a PhD student at Unit for Biomedical Data Analytics (BDA) of INSIGHT at the National University of Ireland Galway. His research work is focused on the sports science and sports medicine area in a targeted project with ORRECO --an Irish startup company that provides evidence-based advice to individual athletes through biomarker and GPS data. Before joining INSIGHT as a PhD student he was leading a team of statisticians at an international public health research organization (icddr,b). His primary role there was to develop internal statistical capabilities for researchers who come from various disciplines. He was involved in designing and delivering statistical training to the researchers. He has a bachelors and masters degree in statistics, and he has written two books in R programming: Data Manipulation with R and R Graphs Cookbook (Second Edition) with Packt. His current research interests are predictive modeling to predict probable injury of an athlete and scoring extremeness of multivariate data to get an early signal of an anomaly. Moreover, he has an excellent reputation as a freelance R programmer and statistician in an online platform such as upwork.

Eilidh J. Troup is an applications consultant at EPCC in the University of Edinburgh. She is interested in making High Performance Computing accessible to new users, particularly to biologists. She works on a variety of software projects, including the Simple Parallel R INTerface (SPRINT).

For support files and downloads related to your book, please visit www.PacktPub.com .

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.PacktPub.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at service@packtpub.com for more details.

At www.PacktPub.com , you can also read a collection of free technical articles, sign up for a range of free newsletters and receive exclusive discounts and offers on Packt books and eBooks.

https://www.packtpub.com/mapt

Get the most in-demand software skills with Mapt. Mapt gives you full access to all Packt books and video courses, as well as industry-leading tools to help you plan your personal development and advance your career.

• Fully searchable across every book published by Packt
• Copy and paste, print, and bookmark content
• On demand and accessible via a web browser

Thanks for purchasing this Packt book. At Packt, quality is at the heart of our editorial process. To help us improve, please leave us an honest review on this book's Amazon page at https://www.amazon.com/dp/1787129055 .

If you'd like to join our team of regular reviewers, you can e-mail us at customerreviews@packtpub.com. We award our regular reviewers with free eBooks and videos in exchange for their valuable feedback. Help us be relentless in improving our products!

R is a high-level statistical language and is widely used among statisticians and data miners for developing statistical applications. The objective of this book is to show the readers how to work with different programming aspects of R. Emerging R developers and data scientists may have very good programming knowledge but their understanding of the R syntax and semantics could be limited. This book will be a platform to develop practical solutions to real-world problems in a scalable fashion and with very good understanding of R. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with I/O issues when working with the relatively larger datasets. By the end of this book, you will also learn how to work with databases from within R.

, Installing and Configuring R and its Libraries, covers the recipes on how to install and configure R and its libraries on Windows and Linux platforms.

, Data Structures in R, covers the data structures of R and how to create and access their properties and various operations related to a specific data structure.

, Writing Customized Functions, guides you to create your own customized functions and understand how to work with various data types within a function and access an output of a function.

, Conditional and Iterative Operations, covers the use of conditional and repetition operators in R.

, R Objects and Classes, guides you in creating the S3 and S4 objects and how to use them in a variety of applications.