我正在尝试构建一个闪亮的应用程序,该应用程序仅绘制具有滑块范围内值的行上的点。如果我增加滑块的范围,将添加点,但是当我减小滑块的范围时,永远不会删除点。下面是我的问题的可重现的例子。如果您将滑块增加到全范围,地图上将显示3个点。如果你随后减小了范围,它将放大一个点,但如果缩小,你会看到地图上仍有3个点被绘制。我认为传单中的clearShapes或clearMarkers函数会删除这些点,但它不起作用。有什么建议吗?
library(shiny)
library(leaflet)
library(tidyverse)
ui <- fluidPage(
titlePanel("Test"),
sidebarLayout(
sidebarPanel(
radioButtons("choice","Group:",choices = c(1,2), selected = 1),
uiOutput("value"),
verbatimTextOutput("Click_text")
),
mainPanel(
leafletOutput("Map")
)
)
)
server <- function(input, output) {
df <- data.frame(lat = c(42.34,43.65,45.26,48.63,47.65,47.52),
lng = c(-96.43,-97.45,-98.56,-92.35,-94.56,-95.62),
id = c(32,45,65,76,34,12),
grp = c(1,1,1,2,2,2),
val = c(1.75,2.12,3.2,3.32,4.76,4.85))
subsetData1 <- reactive({
df %>% filter(grp == input$choice)
})
output$value <- renderUI({
sliderInput("value",label = h3("value"),
min = min(subsetData1()$val,na.rm = TRUE),
max = max(subsetData1()$val,na.rm=TRUE),
value = c(quantile(subsetData1()$val,.25,na.rm = TRUE),quantile(subsetData1()$val,.75,na.rm=TRUE)))
})
subsetData <- reactive({
df2 <- subsetData1() %>% data.frame()
df2 %>% filter(val >= min(as.numeric(input$value)) & val <= max(as.numeric(input$value)))
})
output$Map <- renderLeaflet({
leaflet(height = 1000) %>%
addTiles() %>%
fitBounds(min(df$lng),min(df$lat),max(df$lng),max(df$lat))
})
observe({
leafletProxy("Map") %>%
clearMarkers() %>%
clearShapes() %>%
addCircleMarkers(data = subsetData(),
lng = ~lng,
lat = ~lat,
layerId = ~id,
radius = 8,
weight = 10) %>%
fitBounds(.,min(subsetData()$lng),min(subsetData()$lat),
max(subsetData()$lng),max(subsetData()$lat))
})
observe({
click<-input$Map_marker_click
if(is.null(click))
return()
text<-paste("Latitude ", click$lat, "Longtitude ", click$lng)
text2<-paste("You've selected point ", click$id)
output$Click_text<-renderText({
text2
})
})
}
# Run the application
shinyApp(ui = ui, server = server)
答案 0 :(得分:1)
您可以将清除标记的observe
功能更改为observeEvent
功能。
observeEvent(input$value,{
leafletProxy("Map") %>%
clearMarkers() %>%
clearShapes() %>%
addCircleMarkers(data = subsetData(),
lng = ~lng,
lat = ~lat,
layerId = ~id,
radius = 8,
weight = 10) %>%
fitBounds(.,min(subsetData()$lng),min(subsetData()$lat),
max(subsetData()$lng),max(subsetData()$lat))
})
您同时拥有uiOutput
和sliderInput
ID(value
)。您应该确保每个元素都有唯一的ID。将其中一个重命名为独特的东西。