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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Styling our application with themes

Up to this point, we have been using the theme provided by default by Shiny, but now that our application is finished, we want to stylize it with some tech-looking colors. In that case, we can use the shinythemes and ggthemr packages, which provide us with an easy way to apply themes to Shiny applications and ggplot2 graphs, respectively.

All we need to do to apply the themes is to tell the ggplot2 framework to apply the flat dark theme provided by the ggthemr package, and to make sure that the outer side of the graph is also stylized we use the type = outer parameter, as is shown here. The code should be placed wherever we placed our ggplot2 code for cohesiveness, which is in the functions.R file for this chapter:

library(ggthemr)
ggthemr('flat dark', type = 'outer')

To stylize the Shiny application itself, we send the theme...

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