Flexmonster Software License Agreement (“Agreement”) has been significantly revised and is effective as of September 30, 2024.
The following modifications were made:
The modified version of Flexmonster Software License Agreement is available here.
Downloading, installing, and/or continuing to use Flexmonster Software after September 30, 2024, constitutes Licensee’s acceptance of the terms and conditions of the modified version of Flexmonster Software License Agreement. If Licensee does not agree to any of these terms and conditions, they must cease using Flexmonster Software and must not download, install, use, access, or continue to access Flexmonster Software. By continuing to use Flexmonster Software or renewing the license under License Model or Maintenance after the effective date of any modifications to Agreement, Licensee accepts and agrees to be bound by the terms and conditions of the modified Agreement.
This tutorial will help you integrate Flexmonster into an R Shiny application. It is based on the how to build a Shiny app guide.
install.packages("shiny")
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.
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.
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.
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:
RThen run the app using the commands described in step 11 of the integration process.
R -e "shiny::runApp()"or
Rscript app.r
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