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Chris Beeley - Web Application Development with R Using Shiny

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Chris Beeley Web Application Development with R Using Shiny
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Harness the graphical and statistical power of R and rapidly develop interactive user interfaces using the superb Shiny package Overview Helps you to use Shinys built in functions to produce engaging and useful user interfaces in hours, not days Enables you to extend Shiny using javascript and jQuery with minimal coding Shows you how to write cutting-edge interactive content for the Web In Detail R is a highly flexible and powerful tool for analyzing and visualizing data. Shiny is the perfect companion to R, making it quick and simple to share analysis and graphics from R that users can interact with and query over the Web. Let Shiny do the hard work and spend your time generating content and styling, not writing code to handle user inputs. Web Application with R using Shiny is an accessible introduction to sharing interactive content from R using Shiny. You will learn by doing, with each chapter including code and examples to use and adapt for your own applications. By the end of this book, you will be able to build useful and engaging web applications with only a few lines of code - no javascript required. Web Application with R using Shiny will show you how to begin analyzing, visualizing, and sharing your data using practical examples. This book will teach you how to rapidly prototype and build interactive data summaries using Shinys built-in widgets and functions. You will learn how to integrate Shiny applications with your existing HTML and CSS, how to greatly extend the power and usability of your applications using javascript, and how to quickly deploy them over the Web. The book uses practical examples to show you how to get the best out of R and Shiny, helping you to produce and share cutting-edge analytics with minimal effort. What you will learn from this book Produce advanced analysis and graphics using R Implement Shinys built-in widgets to rapidly build user interfaces Apply reactive programming techniques to handle user interactions with minimal coding Adapt and change your interfaces in response to user input to give your users an engaging and rewarding experience Integrate javascript and jQuery with Shiny to add different and exciting content and interactions to your Shiny applications Use HTML and CSS to style your Shiny applications and integrate them seamlessly with your own web content Serve your users better by allowing them to upload their own data and download the results quickly and simply Deploy Shiny applications over the Web using simple and free technologies Approach This book follows a standard tutorial-based approach which will teach you how to make a web app using R and Shiny quickly and easily. Who this book is written for This book is for anybody who wants to produce interactive data summaries over the Web, whether you want to share them with a few colleagues or the whole world. You need no previous experience with R, Shiny, HTML, or CSS to begin using this book, although you will need at least a little previous experience with programming in a different language.

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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

Copyright 2013 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 2013

Production Reference: 1151013

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78328-447-4

www.packtpub.com

Cover Image by Suresh Mogre (<>)

Credits

Author

Chris Beeley

Reviewers

Neependra Khare

Ram Narasimhan

Hernn G. Resnizky

Acquisition Editor

Kevin Colaco

Commissioning Editor

Shaon Basu

Technical Editors

Aparna Chand

Dennis John

Project Coordinator

Suraj Bist

Proofreader

Joanna McMahon

Indexers

Monica Ajmera Mehta

Tejal R. Soni

Production Coordinator

Prachali Bhiwandkar

Cover Work

Prachali Bhiwandkar

About the Author

Chris Beeley is an Applied Researcher working in healthcare in the UK. He completed his PhD in Psychology at the University of Nottingham in 2009 and now works with Nottinghamshire Healthcare NHS Trust providing statistical analysis and other types of evaluation and reporting using routine data generated within the Trust. Chris has a special interest in the use of regression methods in applied healthcare settings, particularly forensic psychiatric settings, as well as in the collection, analysis, and reporting of patient feedback data.

Chris has been a keen user of R and a passionate advocate of open-source tools within research and healthcare settings since completing his PhD. He has made extensive use of R (and Shiny) to automate analysis and reporting for new patient feedback websites. This was funded by a grant from the NHS Institute for Innovation and made in collaboration with staff, service users, and carers within the Trust, particularly individuals from the Involvement Center.

Acknowledgement

I would like to thank all the staff, service users, and carers at the Involvement Center in Nottinghamshire Healthcare NHS Trust, not only for welcoming me and believing in me but also for making my work meaningful. Helping to better understand and communicate with our service users and carers is the reason why I get out of bed in the morning and work long hours on the website. The book was made much easier with the thought that it might help transform healthcare for everyone's benefit.

I'd like to give a massive thank you to the whole R world, the R core team, the people at RStudio, Joe Cheng, Winston Chang, Hadley Wickham (what was life like before ggplot2?) and all the people I've had so much help from over the years, on mailing lists, forums, blog posts, and wherever else I've found you. Everyone who believes in free and open source believes that by cooperating and sharing we can build a better world, and this is a profound message not just in the world of software, but globally everywhere. I could never hope to give back as much to this community as I've taken already, but I promise to try.

I would also like to thank my wife and son who helped me remember that there's more to life than coding and work, and are, in general, the complete opposite of writing a book about an R package.

About the Reviewers

Neependra Khare has around 9 years of experience in the IT industry. He has worked as a SysAdmin, support engineer, and a filesystem developer. Currently he is working with Red Hat as Principal Software Engineer.

As a data enthusiast, he uses R and Shiny to do the analysis and publish visualizations. More can be found out about him on his website at www.neependra.net.

Ram Narasimhan works in the Data Science group at GE Global Research. He has worked in applied data analysis for over 15 years, including working as a data consultant in multiple verticals (transportation, manufacturing, and supply chain) where his tools of choice were Python and R. He created and managed a data analytics team for United Airlines in Chicago. He has a Master's in Industrial Engineering and a Doctorate in Operations Research.

Hernn G. Resnizky is an experienced Sociologist and Data Analyst with a Masters degree in Data Mining from the University of Buenos Aires. He currently works for Despegar.com, the leading online tourism agency in Latin America, and has previously worked for other top-level companies, such as Microsoft and Ipsos. Currently, Hernn is focused on working with R, covering not only the Data Analysis stage but also Data Extraction, Processing, and Visualization. In his blog, www.hernanresnizky.com (also known as My Data Atelier ), you can find commented material regarding R and Data Analysis in general.

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I would like to dedicate this book to my dad who always believed in me. I hope I'm still making him proud.

Preface

Harness the graphical and statistical power of R, and rapidly develop interactive and engaging user interfaces using the superb Shiny package which makes programming for user interaction simple. R is a highly flexible and powerful tool for analyzing and visualizing data. Shiny is the perfect companion to R, making it quick and simple to share analysis and graphics from R that users can interact with and query over the Web. Let Shiny do the hard work and spend your time generating content and styling, not writing code to handle user inputs. This book is full of practical examples and shows you how to write cutting-edge interactive content for the Web, right from a minimal example all the way to fully styled and extendible applications.

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