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  • Introduction
  • Connecting to data source
  • Browser compatibility
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  • Integration with R Shiny

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

    Prerequisites

    Run a sample R Shiny project from GitHub

    Step 1. To get our sample project, download it as ZIP or clone it with the following command:

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

    Step 2. Invoke R and navigate to the pivot-r-shiny/ project folder:

    setwd('<path_to_project>/pivot-r-shiny')

    Step 3. Run your application from the R program:

    library(shiny)
    runApp()

    The application will be automatically opened in your browser.

    If you encounter any errors at this step, refer to the troubleshooting section.

    Integrate Flexmonster into an R Shiny project

    To integrate Flexmonster into an R Shiny application, do the following:

    Step 1. Create a new folder (e.g., shinyapp/) with index.html and app.r files inside.

    Now you can start configuring the index.html.

    Step 2. In the index.html file, include the flexmonster.js file:

    <script src="https://cdn.flexmonster.com/flexmonster.js"></script>

    Step 3. Create a <div> container for Flexmonster:

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

    Step 4. Add a script to embed the component:

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

    Step 5. Configure a report:

    <div id="pivotContainer">The component will appear here</div>
    <script src="https://cdn.flexmonster.com/flexmonster.js"></script>
    
    <script type="text/javascript">
        const pivot = new Flexmonster({
            container: "pivotContainer", 
            componentFolder: "https://cdn.flexmonster.com/",
            toolbar: true, 
            report: {
                dataSource: {
                    type: "json",
                    filename: "data/data.json"
                }
            }
        });
    </script>

    Now that the index.html is ready to be used, proceed to configure the app.r file.

    Step 6. In the app.r file, import Shiny into your application:

    library(shiny)

    Step 7. Create a simple server function:

    server <- function(input, output) {
    
    }

    Step 8. Define the user interface by calling the htmlTemplate function with the path to the 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. Invoke R and navigate to the shinyapp/ project folder:

    setwd('<path_to_project>/shinyapp')

    Step 11. Run your application from the R program:

    library(shiny)
    runApp()

    The application will be automatically opened in your browser.

    If you encounter any errors at this step, refer to the troubleshooting section.

    Troubleshooting

    This section provides solutions to the errors you might encounter while completing this tutorial. If your error is not listed here, contact our technical support.

    Error: No Shiny application exists at the path

    If you followed the tutorial and got this error, ensure the working directory of the R program is set to the project folder (e.g., ~/pivot-r-shiny/).

    Alternatively, if you are using macOS or Ubuntu/Linux, you can open the terminal in the project folder and try one of the following:

    • Start the R program with the following command:
      R
      Then run the app using the commands described in step 11 of the integration process.
    • Run the app directly from the terminal with one of the following commands:
      R -e "shiny::runApp()"
      or
      Rscript app.r

    What's next?

    You may be interested in the following articles: