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  1. API reference
  2. Welcome
    1. Component overview
    2. Get Flexmonster
    3. Quick start
    4. System requirements
    5. Troubleshooting
    6. Managing license keys
    7. Migrating from WebDataRocks to Flexmonster
  3. Integration with frameworks
    1. Available tutorials
    2. Integration with Angular
    3. Integration with React
    4. Integration with Vue
    5. Other integrations
      1. Integration with Python
        1. Integration with Django
        2. Integration with Jupyter Notebook
      2. Integration with React Native
      3. Integration with AngularJS (v1.x)
      4. Integration with TypeScript
      5. Integration with R Shiny
      6. Integration with jQuery
      7. Integration with Ionic
      8. Integration with Electron.js
      9. Integration with Webpack
      10. Integration with RequireJS
  4. Connecting to Data Source
    1. Supported data sources
    2. JSON
      1. Connecting to JSON
      2. Connecting to JSON using Flexmonster Data Server
      3. Data types in JSON
    3. CSV
      1. Connecting to CSV
      2. Connecting to CSV using Flexmonster Data Server
      3. Data types in CSV
    4. Database
      1. Connecting to SQL databases
      2. Connecting to a MySQL database
      3. Connecting to a Microsoft SQL Server database
      4. Connecting to a PostgreSQL database
      5. Connecting to an Oracle database
      6. Connecting to other databases
    5. Flexmonster Data Server
      1. Getting started with Flexmonster Data Server
      2. Installation guide
      3. Configurations reference
      4. Data sources guide
      5. Security and authorization guide
      6. The Data Server as a DLL
        1. Getting started with the Data Server as a DLL
        2. Referring the Data Server as a DLL
        3. Implementing the API controller
        4. Implementing the server filter
        5. Implementing the custom parser
        6. DLL configurations reference
        7. The controller's methods for request handling
    6. MongoDB
      1. Introduction to Flexmonster MongoDB Connector
      2. Getting started with the MongoDB Connector
      3. Embedding the MongoDB Connector into the server
    7. Microsoft Analysis Services
      1. Connecting to Microsoft Analysis Services
      2. Getting started with Flexmonster Accelerator
      3. Referring the Accelerator as a DLL
      4. Configuring the authentication process
      5. Configuring a secure HTTPS connection
      6. Troubleshooting
    8. Custom data source API
      1. Introduction to the custom data source API
      2. A quick overview of a sample Node.js server
      3. A quick overview of a sample .NET Core server
      4. Implement your own server
        1. Implementing the custom data source API server
        2. Implementing filters
        3. Supporting more aggregation functions
        4. Returning data for the drill-through view
    9. Elasticsearch
      1. Connecting to Elasticsearch
      2. Configuring the mapping
    10. Pentaho Mondrian
      1. Connecting to Pentaho Mondrian
      2. Getting started with the Accelerator
      3. Configuring Mondrian roles
      4. Configuring username/password protection
      5. Configuring a secure HTTPS connection
      6. Troubleshooting
  5. Security
    1. Security in Flexmonster
    2. Security aspects of connecting to an OLAP cube
      1. Ways of connecting to an OLAP cube
      2. The data transfer process
      3. Data security
      4. Data access management
  6. Configuring report
    1. What is a report
    2. Data source
    3. Slice
    4. Options
    5. Mapping
    6. Number formatting
    7. Conditional formatting
    8. Set the report for the component
    9. Get the report from the component
    10. Date and time formatting
    11. Configuring global options
    12. Export and print
    13. Calculated values
    14. Custom sorting
  7. Charts
    1. Available tutorials
    2. Flexmonster Pivot Charts
    3. Integration with Highcharts
    4. Integration with amCharts
    5. Integration with Google Charts
    6. Integration with FusionCharts
    7. Integration with any charting library
  8. Customizing
    1. Customizing the Toolbar
    2. Customizing appearance
    3. Customizing the context menu
    4. Customizing the grid
    5. Customizing the pivot charts
    6. Localizing the component
  9. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.7 to 2.8
    4. Migration guide from 2.6 to 2.7
    5. Migration guide from 2.5 to 2.6
    6. Migration guide from 2.4 to 2.5
    7. Migration guide from 2.3 to 2.4
    8. Migration guide from 2.2 to 2.3
    9. Documentation for older versions
  10. Flexmonster CLI Reference
    1. Overview
    2. Troubleshooting the CLI
    3. flexmonster create
    4. flexmonster add
    5. flexmonster update
    6. flexmonster version
    7. flexmonster help
Table of contents

Integration with R Shiny

This tutorial will help you integrate Flexmonster with the R Shiny application. It is based on How to build a Shiny app guide.

Prerequisites

To run a simple application, you will need R. Get it here if it’s not already installed on your machine.

Then open the R console and install the Shiny package by running:

 install.packages("shiny") 

After that, choose one of the following options:

  1. Run a simple R Shiny and Flexmonster sample from GitHub
  2. Integrate Flexmonster into an existing/new application

Run a simple R Shiny and Flexmonster sample from GitHub

Step 1. Download the .zip archive with the sample or clone it from GitHub with the following command:

git clone https://github.com/flexmonster/pivot-r-shiny my-proj
cd my-proj

Step 2. Run your application from the R console:

library(shiny)
runApp('~/my-proj')

The application will be automatically opened in your browser.

It can be shut down manually with Ctrl+C.

If any errors appear on this step, refer to the troubleshooting subsection.

Integrate Flexmonster into an existing/new application

To integrate Flexmonster into an R Shiny app, follow these steps:

Step 1. If you don’t have an R Shiny app, create a new empty folder (e.g. shinyapp/) with an empty app.r file within it.

Step 2. In the app.r file, include Shiny to your application:

library(shiny)

Step 3. In the app.r file, define a simple server implementation:

server <- function(input, output) {

}

Step 4. In an .html file (e.g. index.html), create a <div> container for the component:

<div id="pivotContainer">The component will appear here</div>

Step 5. Include flexmonster.js in your HTML page:

<div id="pivotContainer">The component will appear here</div>
<script src="https://cdn.flexmonster.com/flexmonster.js"></script>

Step 6. Add a simple script to embed the component:

<div id="pivotContainer">The component will appear here</div>
<script src="https://cdn.flexmonster.com/flexmonster.js"></script>
<script>
var pivot = new Flexmonster({
container: "pivotContainer",
componentFolder: "https://cdn.flexmonster.com/",
toolbar: true
});
</script>

Step 7. Configure a simple report:

 <div id="pivotContainer">The component will appear here</div>
<script src="https://cdn.flexmonster.com/flexmonster.js"></script>

<script type="text/javascript">
var pivot = new Flexmonster({
container: "pivotContainer",
componentFolder: "https://cdn.flexmonster.com/",
toolbar: true,
report: {
dataSource: {
type: "JSON",
filename: "https://cdn.flexmonster.com/data/data.json"
}
}

});
</script>

Step 8. In the app.r file, define the user interface by calling the htmlTemplate function with the HTML file (e.g. index.html) as a parameter.

ui <- htmlTemplate("index.html")

Step 9. Add the shinyApp function that uses the ui object and the server function to build a Shiny app object:

shinyApp(ui, server)

Step 10. Run your application from the R console:

library(shiny)
runApp('~/shinyapp')

The application will be automatically opened in your browser.

It can be shut down manually with Ctrl+C.

If any errors appear on this step, refer to the troubleshooting subsection.

Troubleshooting

While completing this tutorial, users may face problems with running the app, especially users working with macOS or Linux operating systems. This subsection provides simple instructions on how to fix errors that may be encountered.

Error: No Shiny application exists at the path

If you followed the tutorial accurately and got such an error, one of the instructions below may help fix it:

  • Make sure the right path to the project folder was specified when running the app. Note that if the app is run right in the project folder (e.g., my-proj/), the runApp() function should be called without parameters:
    library(shiny)
    runApp()

Note that the following instructions apply only to UNIX-like systems (macOS, Linux, and so forth):

  • Try starting the R’s interactive shell without superuser privileges. It can be done with the following command:
    R
    Then run the app with commands from the guide:
    library(shiny)
    runApp('~/my-proj')
  • Running the app right from the terminal may also help. To do this, open the terminal in the project folder (e.g., my-proj/) and run the following command:
    R -e "shiny::runApp()"
  • The following command can also be used to run the app from the terminal opened in the project folder:
    Rscript app.R

What’s next?

You may be interested in the following articles: