R/groupwise_resids.R

In dtkaplan/mdsint: Internal resources for Modeling for Data Science

#' @import shiny 
#' @export
groupwise_resids <- 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)
  )
}