Adjust to generate correct maps from selecInput

First of all, I will make a brief example for you to understand the idea.

library(googleway)

set_key( "API KEY")


df<-structure(list(Properties = c(1,2,3,4), 
                     Latitude = c(-24.930473, -24.95575,-24.990473, -24.99575), 
                     Longitude = c(-49.994889, -49.990162,-49.999889, -49.999162), 
                     cluster = c(1,2,1,2)), class = "data.frame", row.names = c(NA, -4L))
  
  df1<-structure(list(Latitude = c(-24.924361,-24.95575), 
                      Longitude = c(-50.004343, -50.007371), 
                      cluster = c(1,2)), class = "data.frame", row.names = c(NA, -2L))
  
 # considering `Filter1= 1`, that is, cluster 1 that I want to see, and `Filter2= 3`, that is property number 3, so:

Filter1=1

Filter2=3

  data_table1<-df1[df1$cluster==Filter1,c(1:2)]
  data_table2<-df[df$Properties==Filter2,c(2:3)]
  
 
   #Generate the map with routes
  
  df2<-google_directions(origin = data_table1, destination = data_table2, 
                         mode = "driving")
  
  df_routes <- data.frame(polyline = direction_polyline(df2))
  
  
  m1<-google_map() %>%
    add_polylines(data = df_routes, polyline = "polyline")

Now, my idea is to use shiny. In this sense, I created two selecInput, the first corresponds to Filter 1 (which cluster do you want to see) and the other to Filter 2 (which property do you want to see). Choosing these two pieces of information generates the route as I did in the example above. However, I am not able to fix this problem in shiny.

This question is very similar and might help: How to Link selected cluster in shiny app However, it has some differences, for example I have inserted one more filter .

library(shiny)
library(rdist)
library(geosphere)
library(shinythemes)
library(googleway)


set_key( "API KEY")



function.cl<-function(df,df1,k,Filter1){
  
  #database df
  df<-structure(list(Properties = c(1,2,3,4), 
                     Latitude = c(-24.930473, -24.95575,-24.990473, -24.99575), 
                     Longitude = c(-49.994889, -49.990162,-49.999889, -49.999162), 
                     cluster = c(1,2,1,2)), class = "data.frame", row.names = c(NA, -4L))
  
  df1<-structure(list(Latitude = c(-24.924361,-24.95575), 
                      Longitude = c(-50.004343, -50.007371), 
                      cluster = c(1,2)), class = "data.frame", row.names = c(NA, -2L))
  

  data_table1<-df1[df1$cluster==Filter1,c(1:2)]
  data_table2<-df[df$Properties==Filter2,c(2:3)]
  
 
   #Generate the map with routes
  
  df2<-google_directions(origin = data_table1, destination = data_table1, 
                         mode = "driving")
  
  df_routes <- data.frame(polyline = direction_polyline(df2))
  
  
  m1<-google_map() %>%
    add_polylines(data = df_routes, polyline = "polyline")
  
  plot1<-m1 
  
  return(list(
    "Plot1" = plot1,
    "Data" = df
  ))
}

ui <- bootstrapPage(
  
  navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
             "Cl", 
             tabPanel("Map of all clusters",
                      sidebarLayout(
                        sidebarPanel(
                          tags$b(h3("Choose the cluster number?")),
                          sliderInput("Slider", h5(""),
                                      min = 2, max = 2, value = 2),
                          selectInput("Filter1", label = h4("Select just one cluster to show"),""),
                          selectInput("Filter2", label = h4("Select the propertie"),""),
                        ),
                        
                        mainPanel(
                          tabsetPanel(      
                            tabPanel("Solution", (google_mapOutput("G2",width = "95%", height = "600")))))
                        
                      ))))


server <- function(input, output, session) {
  
  Modelcl<-reactive({
    function.cl(df,df1,input$Slider,input$Filter1)
  })
  
  output$G2 <- renderGoogle_map({
    Modelcl()[[1]]
  })
  
  
  observeEvent(input$Slider, {
    abc <- req(Modelcl()$Data)
    updateSelectInput(session,'Filter1',
                      choices=sort(unique(abc$cluster)))
  }) 
  
  observeEvent(c(input$Filter1 ),{
    abc <- req(Modelcl()$Data) %>% filter(cluster == as.numeric(input$Filter1))   
    updateSelectInput(session,'Filter2',
                      choices = unique(abc$Propertie))
    
  })
  
}

shinyApp(ui = ui, server = server)

Solution

Your shiny example as three inputs:

Slider, which gets passed to k in the function signature
Filter1, which appears to be the same as k (i.e. choosing a cluster), and currently gets passed to Filter1 in the function signature
Filter2, which is for selecting the Property, but never gets passed to the function.

I think what you want to do is include only Slider and Filter2 (or Filter1 and Filter2).

Then change the Modelcl to

  Modelcl<-reactive({
    function.cl(df,df1,input$Slider,input$Filter2)
  })

Then, in your actual function, rename your inputs in the signature so that they are better aligned with what you are passing in. I suggest something like this:

function.cl<-function(df,df1,cluster,property){

Then, you can

data_table1<-df1[df1$cluster==cluster,c(1:2)]
data_table2<-df[df$Properties==property,c(2:3)]

Finally, notice that you have an error in your call to google_directions(). you need to make sure that the origin and destination parameters are different. currently, they are both set to data_table1

Here is an example, with the changes made:


library(shiny)
library(rdist)
library(geosphere)
library(shinythemes)
library(googleway)


function.cl<-function(df,df1,cluster,property){
  

  #database df
  df<-structure(list(Properties = c(1,2,3,4), 
                     Latitude = c(-24.930473, -24.95575,-24.990473, -24.99575), 
                     Longitude = c(-49.994889, -49.990162,-49.999889, -49.999162), 
                     cluster = c(1,2,1,2)), class = "data.frame", row.names = c(NA, -4L))
  
  df1<-structure(list(Latitude = c(-24.924361,-24.95575), 
                      Longitude = c(-50.004343, -50.007371), 
                      cluster = c(1,2)), class = "data.frame", row.names = c(NA, -2L))
  
  
  data_table1<-df1[df1$cluster==cluster,c(1:2)]
  data_table2<-df[df$Properties==property,c(2:3)]
  

  #Generate the map with routes
  
  df2<-google_directions(origin = data_table1, destination = data_table2, 
                         mode = "driving")
  
  df_routes <- data.frame(polyline = direction_polyline(df2))
  
  
  m1<-google_map() %>%
    add_polylines(data = df_routes, polyline = "polyline")
  
  plot1<-m1 
  
  return(list(
    "Plot1" = plot1,
    "Data" = df
  ))
}

ui <- bootstrapPage(
  
  navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
             "Cl", 
             tabPanel("Map of all clusters",
                      sidebarLayout(
                        sidebarPanel(
                          tags$b(h3("Choose the cluster number?")),
                          sliderInput("Slider", h5(""),
                                      min = 1, max = 2, value = 1,step = 1),
                          selectInput("Filter2", label = h4("Select the properties"),choices =c(1,2,3,4)),
                        ),
                        
                        mainPanel(
                          tabsetPanel(      
                            tabPanel("Solution", (google_mapOutput("G2",width = "95%", height = "600")))))
                        
                      ))))


server <- function(input, output, session) {
  
  Modelcl<-reactive({
    function.cl(df,df1,input$Slider,input$Filter2)
  })
  
  output$G2 <- renderGoogle_map({
    Modelcl()[[1]]
  })
  
  
  observeEvent(input$Slider, {
    abc <- req(Modelcl()$Data)
    updateSelectInput(session,'Filter1',
                      choices=sort(unique(abc$cluster)))
  }) 
  
  # observeEvent(c(input$Filter1 ),{
  #   abc <- req(Modelcl()$Data) %>% filter(cluster == as.numeric(input$Filter1))   
  #   updateSelectInput(session,'Filter2',
  #                     choices = unique(abc$Propertie))
  #   
  # })
  
}

shinyApp(ui = ui, server = server)