Slidy Project

Pascal Gr.
06.28.2018

Shiny Course Project

Explore the mtcars dataset and cluster data by using the k-means method. Three input fields are provided to compare two variables of the dataset and put them on the x and y axis. The third input field defines the number of cluster to be generated.

X Axis
Y Axis
Cluster

Here we have the User Interface part of the code

library(shiny)

pageWithSidebar(
  headerPanel('MT Cars k-means clustering'),
  sidebarPanel(
    selectInput('xcol', 'X Variable', names(mtcars)),
    selectInput('ycol', 'Y Variable', names(mtcars),
                selected=names(mtcars)[[2]]),
    numericInput('clusters', 'Cluster count', 3,
                 min = 1, max = 6)
  ),
  mainPanel(
    plotOutput('plot1')
  )
)

<!–html_preserve–>

MT Cars k-means clustering

<!–/html_preserve–>

Here we have the Server part of the code

library(shiny)

function(input, output, session) {

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

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

  output$plot1 <- renderPlot({
    palette(c("yellow3", "olivedrab3", "maroon4", "steelblue4",
              "tomato3"))

    par(mar = c(5.1, 4.1, 0, 1))
    plot(selectedData(),
         col = clusters()$cluster,
         pch = 20, cex = 4)
    points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
  })

}

function(input, output, session) {

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

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

  output$plot1 <- renderPlot({
    palette(c("yellow3", "olivedrab3", "maroon4", "steelblue4",
              "tomato3"))

    par(mar = c(5.1, 4.1, 0, 1))
    plot(selectedData(),
         col = clusters()$cluster,
         pch = 20, cex = 4)
    points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
  })

}

Here is the full app

[1] "https://pascal226.shinyapps.io/LastOne/"