调整闪亮的新功能

Posted 2023-02-22

下面的可执行代码正在生成簇，并显示在传单所形成的地图上（我在下面插入了我闪亮的视觉结构图）。但是，我需要有关我的Filter2的帮助，它只是为了显示在Filter1中选择的群集中插入的属性。但是，例如，将sliderInput视为3。群集1具有3个属性，但是显示了7个属性的选择（下面的错误）。因此，我希望您能帮助我调整Filter2，以便只能从Filter1中选择的群集中显示地图上的属性。

library(shiny)
library(ggplot2)
library(rdist)
library(geosphere)
library(shinythemes)
library(leaflet)

function.cl<-function(df,k,Filter1,Filter2)

  #database df
  df<-structure(list(Properties = c(1,2,3,4,5,6,7), 
                     Latitude = c(-23.8, -23.8, -23.9, -23.9, -23.9,-23.4,-23.5), 
                     Longitude = c(-49.6, -49.3, -49.4, -49.8, -49.6,-49.4,-49.2), 
                     Waste = c(526, 350, 526, 469, 285, 433, 456)), class = "data.frame", row.names = c(NA, -7L))


  #clusters
  coordinates<-df[c("Latitude","Longitude")]
  d<-as.dist(distm(coordinates[,2:1]))
  fit.average<-hclust(d,method="average") 
  clusters<-cutree(fit.average, k) 
  nclusters<-matrix(table(clusters))  
  df$cluster <- clusters 

  #specific cluster and specific propertie
  df1<-df[c("Latitude","Longitude")]
  df1$cluster<-as.factor(clusters)
  df_spec_clust <- df1[df1$cluster == Filter1,]
  df_spec_prop<-df1[df1$Properties==Filter2,]

  #Table to join df and df1
  data_table <- Reduce(merge, list(df, df1))

  #Color and Icon for map
  ai_colors <-c("red","gray","blue","orange","green","beige","darkgreen","lightgreen", "lightred", "darkblue","lightblue",
                "purple","darkpurple","pink", "cadetblue","white","darkred", "lightgray","black")
  clust_colors <- ai_colors[df$cluster]
  icons <- awesomeIcons(
    icon = 'ios-close',
    iconColor = 'black',
    library = 'ion',
    markerColor =  clust_colors)

  leafIcons <- icons(
    iconUrl = ifelse(df1$Properties,
                     "https://image.flaticon.com/icons/svg/542/542461.svg"
    ),
    iconWidth = 45, iconHeight = 40,
    iconAnchorX = 25, iconAnchorY = 12)
   html_legend <- "<img src='https://image.flaticon.com/icons/svg/542/542461.svg'>"

  # Map for all clusters:
  m1<-leaflet(df1) %>% addTiles() %>%
    addMarkers(~Longitude, ~Latitude, icon = leafIcons) %>%
    addAwesomeMarkers(lat=~df$Latitude, lng = ~df$Longitude, icon=icons, label=~as.character(df$cluster)) %>% 
    addLegend( position = "topright", title="Cluster", colors = ai_colors[1:max(df$cluster)],labels = unique(df$cluster))
  plot1<-m1

  # Map for specific cluster and propertie
  m2<-leaflet(df_spec_clust) %>% addTiles() %>%
    addMarkers(~Longitude, ~Latitude, icon = leafIcons) %>%
    addAwesomeMarkers(lat=~df_spec_prop$Latitude, lng = ~df_spec_prop$Longitude, icon=icons, label=~as.character(df$cluster)) 
    plot2<-m2


  return(list(
    "Plot1" = plot1,
    "Plot2" = plot2,
    "Data" = data_table
  ))


ui <- bootstrapPage(
  navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
             "Cl", 
             tabPanel("Solution",
                      sidebarLayout(
                        sidebarPanel(
                          tags$b(h3("Choose the cluster number?")),
                          sliderInput("Slider", h5(""),
                                      min = 2, max = 5, value = 3),
                        ),
                        mainPanel(
                          tabsetPanel(      
                            tabPanel("Solution", (leafletOutput("Leaf1",width = "95%", height = "600")))))

                      ))),
  tabPanel("",
           sidebarLayout(
             sidebarPanel(
               selectInput("Filter1", label = h4("Select just one cluster to show"),""),
               selectInput("Filter2",label=h4("Select the cluster property designated above"),""),
             ),
             mainPanel(
               tabsetPanel(
                 tabPanel("Map", (leafletOutput("Leaf2",width = "95%", height = "600")))))
           )))

server <- function(input, output, session) 

  Modelcl<-reactive(
    function.cl(df,input$Slider,input$Filter1,input$Filter2)
  )

  output$Leaf1 <- renderLeaflet(
    Modelcl()[[1]]
  )

   output$Leaf2 <- renderLeaflet(
     Modelcl()[[2]]
   )

  observeEvent(input$Slider, 
    abc <- req(Modelcl()$Data)
    updateSelectInput(session,'Filter1',
                      choices=sort(unique(abc$cluster)))
  ) 

   observeEvent(input$Filter1, 
     abc <- req(Modelcl()$Data)
      updateSelectInput(session,'Filter2',
                       choices=sort(unique(abc$Properties)))
    ) 



shinyApp(ui = ui, server = server)

我闪亮的视觉结构

错误

非常感谢！

答案

这是因为未过滤该函数返回的data_table。

您可以在observeEvent中对其进行过滤：

abc <- req(Modelcl()$Data) %>% filter(cluster == as.numeric(input$Filter1))

如果这样，您可以使用observe进行简化：

observe(
    abc <- req(Modelcl()$Data) %>% filter(cluster == as.numeric(input$Filter1))
    updateSelectInput(session,'Filter2',
                      choices=sort(unique(abc$Properties)))
)