R/kmeans_cluster.R

In rstudio/rmdexamples: Examples uses of various R Markdown developer interfaces

#' @import graphics stats shiny methods
#' @export
kmeans_cluster <- function(dataset) {

  shinyApp(
    ui = fluidPage(
      fluidRow(style = "padding-bottom: 20px;",
        column(4, selectInput('xcol', 'X Variable', names(dataset))),
        column(4, selectInput('ycol', 'Y Variable', names(dataset),
                              selected=names(dataset)[[2]])),
        column(4, numericInput('clusters', 'Cluster count', 3,
                               min = 1, max = 9))
      ),
      fluidRow(
        plotOutput('kmeans', height = "400px")
      )
    ),

    server = function(input, output, session) {

      # Combine the selected variables into a new data frame
      selectedData <- reactive({
        dataset[, c(input$xcol, input$ycol)]
      })

      clusters <- reactive({
        kmeans(selectedData(), input$clusters)
      })

      output$kmeans <- renderPlot(height = 400, {
        par(mar = c(5.1, 4.1, 0, 1))
        plot(selectedData(),
             col = clusters()$cluster,
             pch = 20, cex = 3)
        points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
      })
    },

    options = list(height = 500)
  )
}