Web Application with R using Shiny

Web Application with R using Shiny

by Chris Beeley

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Overview

Web Application with R using Shiny by Chris Beeley

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 Shiny's 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.

Product Details

ISBN-13: 9781783284474
Publisher: Packt Publishing
Publication date: 10/16/2013
Pages: 110
Product dimensions: 7.50(w) x 9.25(h) x 0.23(d)

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 within 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 also made extensive use of R (and Shiny) to automate analysis and reporting for a new patient feedback website. 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.

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