我正在尝试使用带有传单包的闪亮仪表板。我尝试使用仪表板中的“SelectInput”功能根据所选的输入(地理区域)创建反应式地图。但是,我无法使传单和 SelectInput 相互连接。
我还想区分数据集中的两组并将其绘制在传单/闪亮中(列名称“up.and.down”具有正值和负值)。在Base R中,我可以使用tidyverse中的过滤器选项来做到这一点包装并为每个提供不同的颜色,但我不确定这在 Shinydashboard 中如何工作。
library(shiny)
library(shinydashboard)
library(shinydashboardPlus)
library(leaflet)
library(tidyverse)
datafile<- read.csv("/Users/prabeshkc/Desktop/stackoverflow data.csv")
`ui<- dashboardPage(
skin = "blue",
dashboardHeader(title = "Cluster Map"),
dashboardSidebar(
selectInput("Area",label = "Geo Area",
choices = datafile$geoArea)
),
dashboardBody(
fluidRow(box(width = 12,leafletOutput(outputId = "mymap")))
))`
`server <- function(input, output) {
data_input<-reactive({
datafile %>%
leaflet() %>%
addTiles() %>%
addMarkers(lng = datafile$lng,lat = datafile$lat)
})
data_input_ordered<-reactive({
data_input()[order(match(data_input)$geoArea)]
})`
`labels<- reactive({
paste("<p>", datafile$goals,"</p>"),
paste("<p>", datafile$achieved,"</p>")
})`
`output$mymap<- renderLeaflet(
datafile %>%
leaflet() %>%
addTiles() %>%
addCircleMarkers(lng = datafile$lng,lat = datafile$lat)
)
}
shinyApp(ui = ui, server = server)`
试试这个:
library(shiny)
library(shinydashboard)
library(shinydashboardPlus)
library(leaflet)
library(tidyverse)
datafile<-read.csv("/Users/prabeshkc/Desktop/stackoverflow data.csv") %>%
mutate(color=ifelse(up.and.down<0,"red","blue"))
ui<- dashboardPage(
skin = "blue",
dashboardHeader(title = "Cluster Map"),
dashboardSidebar(
selectInput("Area",label = "Geo Area",
choices = datafile$geoArea)
),
dashboardBody(
fluidRow(box(width = 12,leafletOutput(outputId = "mymap")))
))
server <- function(input, output) {
output$mymap<- renderLeaflet({
validate(need(datafile,"Add file"))
validate(need(input$Area,"Select Area"))
datafile %>%
filter(geoArea %in% input$Area) %>%
leaflet() %>%
addTiles() %>%
addCircleMarkers(lng = ~lng,lat = ~lat,color=~color,
popup = ~paste(paste0("Goals - ",goals),paste0("Achieved - ",achieved), sep="<br>"))
})
}
shinyApp(ui = ui, server = server)