New functionality for confirmSweetAlert button in Shiny

元气小坏坏 提交于 2020-06-07 07:24:08

问题


I would like help with the following question: The executable code below generates clusters and shows in a table which industries are part of each cluster. In addition, an alert made by confirmSweetAlert is being displayed when running Shiny to show which industry is being excluded from generating the clusters. If you press the "Confirm" button, the output table is generated with industry 5 being excluded for this example. However, I would like to insert a functionality in the "Not Yet" button, that when pressed, the designated property is not excluded, that is, industry 5 for this example. Can you help me? The executable code is below.

library(shiny)
library(ggplot2)
library(rdist)
library(geosphere)
library(kableExtra)
library(tidyverse)
library(DT)
library(shinyWidgets)

function.cl<-function(df,k){


  #database df
  df<-structure(list(Industries = c(1,2,3,4,5,6,7), 
                     Latitude = c(-23.8, -23.8, -23.9, -23.9, -23.9,-23.8,-23.8), 
                     Longitude = c(-49.8, -49.8, -49.8, -49.8, -49.5,-49.8,-49.8), 
                     Waste = c(526, 350, 526, 469, 285, 433, 456)), class = "data.frame", row.names = c(NA, -7L))

  # Exclude long-distance industries
  coordinates<-subset(df,select=c("Latitude","Longitude")) 
  d<-distm(coordinates[,2:1]) 
  diag(d)<-1000000 
  min_distance<-as.matrix(apply(d,MARGIN=2,FUN=min))
  limite<-mean(min_distance)+sd(min_distance) 

  search_vec <- function(mat, vec, dim = 1, tol = 1e-7, fun = all)
  which(apply(mat, dim, function(x) fun((x - vec) > tol)))
  ind_exclude<-search_vec(min_distance,limite,fun=any)
  if(is_empty(ind_exclude)==FALSE){
  for (i in 1:dim(as.array(ind_exclude))){
  df<-subset(df,Industries!=ind_exclude[i])}}


  #cluster
  k=4
  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$cluster <- clusters 
  coordinates$cluster<-clusters

  #Location
  location<-matrix(nrow=k,ncol=2)
  location=matrix(c(-23.8, -23.9, -23.9, -23.8, -49.8, -49.8, -49.8, -49.8),nrow=k,ncol=2)
  location<-cbind(location,matrix(c(1:k),ncol=1)) 

  #Coverage
  coverage=matrix(c(0,0,0,0),nrow=k,ncol=1)
  coverage<-cbind(coverage,matrix(c(1:k),ncol=1))
  colnames(coverage)<-c("Coverage","cluster")

  #Sum of Waste from clusters
  sum_waste=matrix(c(13809,469,285,456),nrow=k,ncol=1)
  sum_waste<-cbind(sum_waste,matrix(c(1:k),ncol=1))
  colnames(sum_waste)<-c("Potential","cluster")

  #Output table
  data_table <- Reduce(merge, list(df, coverage, sum_waste))
  data_table <- data_table[order(data_table$cluster, as.numeric(data_table$Industries)),]
  data_table_1 <- aggregate(. ~ cluster + Coverage + Potential, data_table[,c(1,7,6,2)], toString)

  return(list(
    "IND" =  ind_exclude,
    "Data" = data_table_1
  ))
}


ui <- fluidPage(

  titlePanel("Clustering "),


  sidebarLayout(
    sidebarPanel(

      actionButton("reset", "Reset"),
    ),

    mainPanel(
      DTOutput("tabela")
    )))

server <- function(input, output, session) {


  confirmed_status <- reactiveVal(FALSE)

  Modelcl<-reactive(function.cl(df))

  output$ind <- renderTable({
    IND <- ((Modelcl()[[1]]))
  })

  observe({
    if(is_empty(Modelcl()[[1]])==FALSE && isFALSE(confirmed_status())){
      confirmSweetAlert(
        session = session,
        inputId = "myconfirmation",
        btn_labels = c("Confirm", "Not yet"),        
        text = tags$div(h5("The industry below is being excluded from clustering:"), 
                        paste(Modelcl()[[1]], collapse = ", ")),
        type="info"
      )
    }})

  observeEvent(input$myconfirmation, {
    if (isFALSE(input$myconfirmation)) {
      confirmed_status(TRUE)
    } 
  })

  output$tabela <- renderDataTable({
    req(confirmed_status())
    data_table_1 <- req(Modelcl())[[2]]
    x <- datatable(data_table_1[order(data_table_1$cluster), c(1, 4, 2, 3)],
                   options = list(
                     paging =TRUE,
                     pageLength =  5
                   )
    )
    return(x)
  })

  observeEvent(input$reset, {
   confirmed_status(FALSE)
  })
}

shinyApp(ui = ui, server = server)

来源:https://stackoverflow.com/questions/62008422/new-functionality-for-confirmsweetalert-button-in-shiny

标签
易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!