R shiny 3 selectInput with "All" 选项同时添加反应性

Question

我很难理解 R Shiny 中反应性的概念。我用如下合成数据复制了应用程序。

如您所见，我最终使用了 3 个带有“全部”选项的 selectInputs... 不过不确定这是否是正确的方法。

我的问题是每次更改输入（在任何一个菜单上）时，都会生成一个全新的输出。但是我需要在这里利用反应性的概念...

我只想在变量 'type' 更改时生成新输出（新地图），并且只想使用其他两个下拉菜单过滤数据，而输出地图保持不变。

我不知道如何在保持“全部”选项可用的同时重新安排代码。请帮我！任何帮助将不胜感激！！

library(shiny)
library(dplyr)
library(leaflet)
library(ggplot2)
library(htmltools)


# Load the Data
schools <- read.csv("https://raw.githubusercontent.com/yunique1020/synthetic_data/main/syntheticdata.csv")

# Data Pre-processing
sapply(schools, function(x) length(unique(x)))

names(schools) <- make.names(c("id", "number", "name", "street", "suburb", "postcode", "type", "year", 
                                 "sector", "latitude", "longitude"))

hist_type <- schools %>%
    ggplot(aes(x=type)) +
    geom_bar()
hist_type

hist_sector <- schools %>%
    ggplot(aes(x=sector)) +
    geom_bar()
hist_sector

hist_year <- schools %>%
    ggplot(aes(x=year)) +
    geom_bar()
hist_year

count(schools, type)
count(schools, year)

# Replace missing values to category 'Other' in year column
schools$year <- replace(schools$year, schools$year == "", "Other")




# Define UI for application
ui <- fluidPage(
    
    # Application title
    titlePanel("Schools Data Explorer"),
    
    tabsetPanel(
        tabPanel("Task 1 — schools",  p(),
                 
                 sidebarLayout(
                     sidebarPanel(
                         selectInput("type", "Type of Schooling : ",
                                     c("All", schools$type)),
                         selectInput("sector", "Sector: ", choices = c("All", schools$sector)),
                         selectInput("year", "Year Levels: ", choices = c("Any", schools$year))
                         
                     ),
                     
                     mainPanel(
                         leafletOutput("schoolMap")
                     )
                 )
                 
        )
                 
    )
)

# Define server logic
server <- function(input, output) {

    
    # Create a vector of icons to use Font Awesome ‘hospital-o’ icon
    HospitalIcons <- awesomeIconList(
        Public = makeAwesomeIcon(icon = 'hospital-o', markerColor = 'green', iconColor = 'white', library = "fa"),
        Private = makeAwesomeIcon(icon = 'hospital-o', markerColor = 'orange', iconColor = 'white', library = "fa")
    )
    
    # Create a function called map for repeated steps
    map <- function(x){
        m <- leaflet(x) %>%
            addTiles() %>%
            addAwesomeMarkers(lng = x$longitude, lat = x$latitude,
                              icon = ~HospitalIcons[x$sector],
                              label = ~htmlEscape(x$name),
                              popup = paste0("School: ", x$name, "<br>",
                                             "Address: ", x$street, " ", x$suburb))
        return(m)
    } 
    
    output$schoolMap <- renderLeaflet({
        if (input$type == "All" & input$sector == "All" & input$year == "Any"){
            map(schools)
        } else if (input$type == "All" & input$year == "Any") {
            all_types_any_year <- schools %>% filter(sector == input$sector)
            map(all_types_any_year)
        } else if (input$type == "All" & input$sector == "All") {
            all_types_all_sectors <- schools %>% filter(year == input$year)
            map(all_types_all_sectors)
        } else if (input$sector == "All" & input$year == "Any") {
            all_sectors_any_year <- schools %>% filter(type == input$type)
            map(all_sectors_any_year)
        } else if (input$type == "All"){
            all_types <- schools %>% filter(sector == input$sector & year == input$year)
            map(all_types)
        } else if (input$sector == "All") {
            all_sectors <- schools %>% filter(type == input$type & year == input$year)
            map(all_sectors)
        } else if (input$year == "Any") {
            any_year <- schools %>% filter(type == input$type & sector == input$sector)
            map(any_year)
        }
        else {
            filteredData <- schools %>% filter(type == input$type & sector == input$sector & year == input$year)
            map(filteredData)
        }
    }) 
        
}


# Run the application 
shinyApp(ui = ui, server = server)

Answer 1

我不是很清楚你的意思。如果更改了部门或年份，则相应地过滤数据集，然后在过滤后的数据上生成地图，对吗？这意味着每次任何输入更改时都需要重新生成地图。如果行业或年份发生变化，您如何设想地图保持不变？

顺便说一句，您可以按如下方式重构您的 renderLeaflet：

typeFilter <- ifelse(input$type %in% "All", unique(schools$type), input$type)
sectorFilter <- ifelse(input$sector %in% "All", unique(schools$sector), input$sector)
yearFilter <- ifelse(input$year %in% "Any", unique(schools$year), input$year)

filteredData <- schools %>% filter(type %in% input$type & sector %in% input$sector & year %in% input$year)
map(filteredData)

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