我的数据由 lon 、lat、region、平面类型和年份等列组成。我使用传单和闪亮来创建带有集群标记的地图。
我包括 2 个选择输入框 - 一个用于年份,一个用于平面类型。使用反应函数,每当我运行闪亮的应用程序时,它都会给我此错误。
错误:不知道如何从类对象获取位置数据 反应式,反应式
这是我的代码
library(shiny)
library(leaflet)
library(dplyr)
ui <- fluidPage(
titlePanel("Transactions for Resale Flats"),
h3("Model A Flats: 3-Room, 4-Room, 5-Room"),
sidebarLayout(position = 'right',
sidebarPanel(
selectInput("year","Year", choices = c("2007","2008",
"2009","2010","2011",
"2012","2013","2014",
"2015","2016","2017"), selected="2007"),
selectInput("type","Flat-Type",choices = c("3 ROOM",'4 ROOM',"5 ROOM"),selected = "3-Room"),
width = 2),
mainPanel(leafletOutput("mymap",height = 650,width=605)))
)
server <- function(input,output, session){
headlinedata<-reactive({
headlinedata%>%
filter(year %in% input$year & flat_type %in% input$type)
})
output$mymap <- renderLeaflet({
leaflet(data=headlinedata) %>%
addTiles() %>%
addMarkers(clusterOptions = markerClusterOptions(),
label = paste(headlinedata$address,',',headlinedata$town))
})
observe(leafletProxy('mymap', data=headlinedata()))%>%
clearMarkers()%>%
addMarkers(clusterOptions = markerClusterOptions(),
label = paste(headlinedata$address,',',headlinedata$town))
}
shinyApp(ui = ui, server = server)
还有这个代码
observe(leafletProxy('mymap', data=headlinedata()))%>%
clearMarkers()%>%
addMarkers(clusterOptions = markerClusterOptions(),
label = paste(headlinedata$address,',',headlinedata$town))
每当我包含它时,应用程序将运行一秒钟,然后立即关闭。此代码应该在输入更改时更新地图标记。
谢谢。
首先,您需要将反应变量称为变量名称,后跟 ()
。在output$mymap
中,你指的是headlinedata
,这是要过滤的数据框,当它应该被headlinedata()
时,它是已经被过滤的反应变量。为了消除两者的歧义,我将反应变量的名称更改为 df
。然后,当下游代码中需要该反应变量时,我将其称为df()
。
其次,由于df()
是一个反应变量,并且我们已经设置了依赖于它的传单,因此每当反应变量发生变化时,地图也会发生变化。这意味着我们不需要observe(leafletProxy ...
代码。
下面是一个可以复制和粘贴的可重现示例。
library(shiny)
library(leaflet)
library(dplyr)
set.seed(1)
headlinedata <- data.frame(year = rep(2007:2017, 10),
flat_type = sample(c("3 ROOM",'4 ROOM',"5 ROOM"),
110, replace=T),
lat = sample(1:50, 110, replace=T),
lng = sample(1:50, 110, replace=T),
address = "address",
town = "town")
ui <- fluidPage(
titlePanel("Transactions for Resale Flats"),
h3("Model A Flats: 3-Room, 4-Room, 5-Room"),
sidebarLayout(position = 'right',
sidebarPanel(
selectInput("year","Year", choices = c("2007","2008",
"2009","2010","2011",
"2012","2013","2014",
"2015","2016","2017"), selected="2007"),
selectInput("type","Flat-Type",choices = c("3 ROOM",'4 ROOM',"5 ROOM"),selected = "3-Room"),
width = 2),
mainPanel(leafletOutput("mymap",height = 650,width=605)))
)
server <- function(input,output, session){
df<-reactive({
headlinedata%>%
dplyr::filter(year %in% input$year & flat_type %in% input$type)
})
output$mymap <- renderLeaflet({
leaflet(data=df()) %>%
addTiles() %>%
addMarkers(clusterOptions = markerClusterOptions(),
label = paste(df()$address,',',df()$town))
})
}
shinyApp(ui = ui, server = server)