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Web Application Development with R Using Shiny Second Edition

You're reading from   Web Application Development with R Using Shiny Second Edition Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781782174349
Length 194 pages
Edition 2nd Edition
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Author (1):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
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Table of Contents (9) Chapters Close

Preface 1. Getting Started with R and Shiny! FREE CHAPTER 2. Building Your First Application 3. Building Your Own Web Pages with Shiny 4. Taking Control of Reactivity, Inputs, and Outputs 5. Advanced Applications I – Dashboards 6. Advanced Applications II – Using JavaScript Libraries in Shiny Applications 7. Sharing Your Creations Index

Downloadable reports with knitr


This same function can very easily allow your users to produce custom reports in HTML, pdf, or MS Word ready to be downloaded to their machines, using the knitr package (http://yihui.name/knitr/). Knitr is a user-contributed package that allows reports to be generated dynamically from a mixture of a static report format interleaved with the output from R.

So, for example, titles and text can be fixed, but each time the report is run, different outputs will be produced within the document depending on the state of the data when the output is generated. Knitr can be used with the RMarkdown format described in Chapter 2, Building Your First Application. Here is the simple RMarkdown document within the Google Analytics application:

# Summary report
## Text summary
This report summarises data between `r strftime(input$dateRange[1], format = "%d %B %Y")` and `r strftime(input$dateRange[2], format = "%d %B %Y")`.

## Trend graph
```{r fig.width=7, fig.height=6, echo...
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