我在Shiny R中使用googleway库。
热图显示正确,但我无法更改热图选项。如果我取消注释我尝试更改选项的块代码,应用程序就会崩溃。
这是代码中有效的部分,其中有问题的行被注释掉了。
library(googleway)
library(magrittr)
library(shiny)
library(shinydashboard)
# Define UI for app
header1 <- dashboardHeader(
title = "My Dashboard"
)
sidebar1 <- dashboardSidebar(
sidebarMenu(
fileInput("file0", "Choose CSV File",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",".csv")),
sliderInput("opacity", "Opacity:",
min = 0, max = 1,
value = 0.5, step = 0.05),
sliderInput("radius", "Radius:",
min = 0, max = 50,
value = 25),
sliderInput("blur", "Blur:",
min = 0, max = 1,
value = 0.75, step = 0.05),
sliderInput("maxvalue", "MaxValue:",
min = 0, max = 1,
value = 1, step = 0.05)
) #sidebarMenu
) #dashboardSidebar
body1 <- dashboardBody(
fluidRow(
tabBox(
title = "TabBox Title 1",
id = "tabset1", height = "400px", width = 11,
selected = "Tab1",
tabPanel("Tab1",
google_mapOutput("Map1")
),
tabPanel("Tab2", "Tab content 2")
) #box
) #fluidRow
) #dashboardBody
ui <- dashboardPage(header1, sidebar1, body1)
# Define data
df <- data.frame(lat = c(14.61),
lon = c(-90.54),
weight = c(100))
# Define SERVER logic
server <- function(input, output, session) {
map_key <- "my_key"
## https://developers.google.com/maps/documentation/javascript/get-api-key
## plot the map
output$Map1 <- renderGoogle_map({
google_map(key = map_key, data = df, zoom = 2, search_box = F) %>%
add_heatmap(weight = "weight") #%>%
#add_traffic()
}) #renderGoogle_map
observeEvent(input$opacity, {
# THIS PART IS COMMENTED OUT BECAUSE THE APP CRASHES
# google_map_update(map_id = "Map1") %>%
# update_heatmap(data = df, option_opacity = input$opacity)
}) #observeEvent
} #server
# Run app
shinyApp(ui, server)
我们将非常感谢您对此的帮助! :)
您可以使用reactive({})
携带input$opacity
值并将其直接传递给add_heatmap()
以实现不透明度响应。
这仍然可以在google_map_update()
内完成,但您必须先清除热图图层,否则您只会在彼此之上添加图层。
server <- function(input, output, session) {
map_key <- "your_key"
## https://developers.google.com/maps/documentation/javascript/get-api-key
opacity <- reactive({
return(input$opacity)
})
## plot the map
output$Map1 <- renderGoogle_map({
google_map(key = map_key, data = df, zoom = 2, search_box = F) %>%
add_heatmap(weight = "weight") #%>%
#add_traffic()
}) #renderGoogle_map
observeEvent(input$opacity, {
google_map_update(map_id = "Map1") %>%
clear_heatmap() %>%
add_heatmap(data = df, option_opacity = opacity())
})
}
} #server