Prerequisites | R-Shiny-Book.knit

R Shiny Applications in Finance, Medicine, Pharma and Education Industry
by Loan Robinson
Preface
About the Author
Basic Shiny Application
1 Introduction
2 Basic Shiny Application
3 Frontend/ User Interface UI
4 Backend Server
- 4.1 Outputs - render()
- 4.2 Reactivitiy()
5 Case Study
- 5.1 Basic Application Structure
- 5.2 Completed Basic Application R Codes
Stock Market Forcasting Application
6 Introduction
7 Stock Market Forcasting Application
8 Frontend/ User Interface UI
9 Backend Server
- 9.1 Stock Symbols Templates
- 9.2 The Individual Stock Symbol Output
  - 9.2.1 plotly package
  - 9.2.2 ggplot2 package
Google Trend Visualization Application
10 Introduction
11 Google Trend Visualization Application
12 Frontend/ User Interface UI
- 12.1 The user inputs
- 12.2 The outputs
13 Backend Server
Clinical Trials Application
14 Introduction
15 Clinical Trials Shiny Application
16 Frontend/ User Interface UI
17 Backend Server
Probability Distribution Shiny Application
18 Introduction
19 Frontend/ User Interface UI
- 19.1 Sidebar Panel
  - 19.1.1 Distribution
  - 19.1.2 Area and Critical Value
- 19.2 Mainbar Panel
Built with Bookdown + RStudio

Prerequisites

You should know how to install R, RStudio, R Packages and an account on https://www.shinyapps.io/ to deploy your app.