问题
Friends, could you help me with the following question: I am having a conflict when inserting the addPolylines function to generate my second leaflet map. In general, Map 1 involves showing all clusters and Map 2 involves a specific cluster. For this specific cluster I inserted a feature to adhere the same colors as the clusters formed on the map1. The first code is doing the above descriptions correctly. However, I also inserted the second code that refers to addPolylines for the second map. But when I insert this second code in the first code, in the part that concerns the generation of map 2, it gives an error: Warning: Error in eval: object 'm2' not found. Could you help me solve this problem please?
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$cluster == Filter1,]
df_spec_prop<-df[df$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$cluster)) %>%
addPolylines(lat=~df$Latitude, lng = ~df$Longitude,color="red") %>%
addLegend( position = "topright", title="Cluster", colors = ai_colors[1:max(df$cluster)],labels = unique(df$cluster))
plot1<-m1
# Map for specific cluster and propertie
if(nrow(df_spec_clust)>0){
clust_colors <- ai_colors[df_spec_clust$cluster]
icons <- awesomeIcons(
icon = 'ios-close',
iconColor = 'black',
library = 'ion',
markerColor = clust_colors)
m2<-leaflet(df_spec_clust) %>% addTiles() %>%
addAwesomeMarkers(lat=~Latitude, lng = ~Longitude, icon=icons, label=~cluster)
plot2<-m2} else plot2 <- NULL
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()$Data) %>% filter(cluster == as.numeric(input$Filter1))
updateSelectInput(session,'Filter2',
choices=sort(unique(abc$Properties)))
})
}
shinyApp(ui = ui, server = server)
Code to insert addPolyline in the second map
for(i in 1:nrow(df_spec_clust)){
df_line <- rbind(df_spec_prop[,c("Latitude","Longitude")],
df_spec_clust[i,c("Latitude","Longitude")])
m2 <- m2 %>%
addPolylines(data = df_line,
lat=~Latitude,
lng = ~Longitude,
color="red")
}
plot2<-m2
When I insert this second code into the first code regarding the generation of map 2:
# Map for specific cluster and propertie
if(nrow(df_spec_clust)>0){
clust_colors <- ai_colors[df_spec_clust$cluster]
icons <- awesomeIcons(
icon = 'ios-close',
iconColor = 'black',
library = 'ion',
markerColor = clust_colors)
m2<-leaflet(df_spec_clust) %>% addTiles() %>%
addAwesomeMarkers(lat=~Latitude, lng = ~Longitude, icon=icons, label=~cluster)
plot2<-m2} else plot2 <- NULL
for(i in 1:nrow(df_spec_clust)){
df_line <- rbind(df_spec_prop[,c("Latitude","Longitude")],
df_spec_clust[i,c("Latitude","Longitude")])
m2 <- m2 %>%
addPolylines(data = df_line,
lat=~Latitude,
lng = ~Longitude,
color="red")
}
plot2<-m2
The following error appears: Warning: Error in eval: object 'm2' not found.```
Thank you very much!
回答1:
@Jovani SouzA @Jose m2 the object doesnt exist when you are passing it into your method chain, you are meaning to pass m1 into the method chain in order to addPolylines to create m2.
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$cluster == Filter1,]
df_spec_prop<-df[df$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$cluster)) %>%
addPolylines(lat=~df$Latitude, lng = ~df$Longitude,color="red") %>%
addLegend( position = "topright", title="Cluster", colors = ai_colors[1:max(df$cluster)],labels = unique(df$cluster))
plot1<-m1
# Map for specific cluster and propertie
if(nrow(df_spec_clust)>0){
clust_colors <- ai_colors[df_spec_clust$cluster]
icons <- awesomeIcons(
icon = 'ios-close',
iconColor = 'black',
library = 'ion',
markerColor = clust_colors)
m2<-leaflet(df_spec_clust) %>% addTiles() %>%
addAwesomeMarkers(lat=~Latitude, lng = ~Longitude, icon=icons, label=~cluster)
plot2<-m2} else plot2 <- NULL
for(i in 1:nrow(df_spec_clust)){
df_line <- rbind(df_spec_prop[,c("Latitude","Longitude")],
df_spec_clust[i,c("Latitude","Longitude")])
m2 <- m1 %>%
addPolylines(data = df_line,
lat=~Latitude,
lng = ~Longitude,
color="red")
}
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()$Data) %>% filter(cluster == as.numeric(input$Filter1))
updateSelectInput(session,'Filter2',
choices=sort(unique(abc$Properties)))
})
}
shinyApp(ui = ui, server = server)
来源：https://stackoverflow.com/questions/61830727/conflict-when-generating-addpolylines-on-the-map-made-by-leaflet