demo/kmeansDemo.R

In johndharrison/shinyStorage: Cross-browser key-value store database to store data locally in the browser.

library(shinyStorage)
library(shiny)
library(RJSONIO)
palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
          "#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
runApp(port = 5678,
       list(ui = pageWithSidebar(
         headerPanel('Iris k-means clustering'),
         sidebarPanel(
           addSS(),
           uiOutput('testUI')
         ),
         mainPanel(
           plotOutput('plot1')
         )
       )
       , server = function(input, output, session){
         ss <- shinyStore(session = session)
         selectedData <- reactive({
           iris[, c(input$xcol, input$ycol)]
         })
         clusters <- reactive({
           kmeans(selectedData(), input$clusters)
         })
         output$plot1 <- renderPlot({
           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)
         })
         
         output$testUI <- renderUI({
           tagList(
             selectInput('xcol', 'X Variable', names(iris), selectize = FALSE),
             selectInput('ycol', 'Y Variable', names(iris),
                         selected=names(iris)[[2]], selectize = FALSE),
             numericInput('clusters', 'Cluster count', 3,
                          min = 1, max = 9)
           )
         })
         observe({
           myVar <- input$ssInputVar
           if(is.null(myVar)){return()}
           if(myVar == "SSNOTINITIALISED"){return()}
           print('jnjnj')
           updateSelectInput(session, 'xcol', 'X Variable', names(iris), selected = myVar$xcol)
           updateSelectInput(session, 'ycol', 'Y Variable', names(iris), selected = myVar$ycol)
           updateNumericInput(session, 'clusters', 'Cluster count', value = myVar$clusters,
                              min = 1, max = 9)           
         })
         observe({
           if(!is.null(input$ssInputVar)){
             if(!is.null(input$xcol) && !is.null(input$ycol) && !is.null(input$clusters) ){
               myList <- list(xcol = input$xcol, ycol = input$ycol, clusters = input$clusters)
               ss$set("myVar", myList)
             }
           }
         })
       })
)