Description Usage Arguments Examples
All logs will be written in the same file.
1  | store_sqlite(path)
 | 
path | 
 Path to the SQLite file or a directory where to create one.  | 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79  | if (interactive()) {
  library(shiny)
  library(shinylogs)
  # temp directory for writing logs
  tmp <- tempdir()
  # when app stop,
  # navigate to the directory containing logs
  onStop(function() {
    browseURL(url = tmp)
  })
  # Classir Iris clustering with Shiny
  ui <- fluidPage(
    headerPanel("Iris k-means clustering"),
    sidebarLayout(
      sidebarPanel(
        selectInput(
          inputId = "xcol",
          label = "X Variable",
          choices = names(iris)
        ),
        selectInput(
          inputId = "ycol",
          label = "Y Variable",
          choices = names(iris),
          selected = names(iris)[[2]]
        ),
        numericInput(
          inputId = "clusters",
          label = "Cluster count",
          value = 3,
          min = 1,
          max = 9
        )
      ),
      mainPanel(
        plotOutput("plot1")
      )
    )
  )
  server <- function(input, output, session) {
    # Store RDS with logs in the temp dir
    track_usage(
      storage_mode = store_sqlite(path = tmp)
    )
    # classic server logic
    selectedData <- reactive({
      iris[, c(input$xcol, input$ycol)]
    })
    clusters <- reactive({
      kmeans(selectedData(), input$clusters)
    })
    output$plot1 <- renderPlot({
      palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
                "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
      par(mar = c(5.1, 4.1, 0, 1))
      plot(selectedData(),
           col = clusters()$cluster,
           pch = 20, cex = 3)
      points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
    })
  }
  shinyApp(ui, server)
}
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.