依赖于多个输入的反应图

Question

我有一个反应图，它接受多个输入，但它依赖于所有这些输入。有没有一种方法可以让图表获取所有输入，但它并不依赖于所有输入。例如，如果用户选择一个下拉菜单，则图形将更新并且不需要任何其他输入，但如果用户添加第二个输入，则图形将使用第二个输入更新，但不需要第三个输入，除非它被选中。此外，如果用户选择的内容为 null，则不会更改图表。

用户界面：

ui <- dashboardPage(
    dashboardHeader(title = "Human Trafficking"),

    dashboardSidebar(
        sidebarMenu(
            selectInput("Source", "Choose a Data Source: ", choices = sort(unique(ngo$Data.Provided.By)), selected = NULL,
                        multiple = TRUE, selectize = TRUE, width = NULL, size = NULL),
            dateInput("startdate", "Start Date:", value = "2009-01-01", format = "dd-mm-yyyy",
                      min = "2009-01-01", max = "2019-08-26"),

            dateInput("enddate", "End Date:", value = "2019-08-27", format = "dd-mm-yyyy",
                      min = "2009-01-02", max = "2019-08-27"),
            selectInput("Nationality", "Select a nation: ", choices = sort(unique(ngo$Victim.Nationality))),
            actionButton("button", "Apply")
        )
    ),

    dashboardBody(

        fluidRow(
            box(width = 4, solidHeader = TRUE,
                selectInput("traffickingType", "Choose a trafficking type: ", choices = sort(unique(ngo$Trafficking.Type)), selected = NULL,
                            multiple = TRUE, selectize = TRUE, width = NULL, size = NULL)
            ),
            box(width = 4, solidHeader = TRUE,
                selectInput("traffickingSubType", "Choose a trafficking sub type: ", choices = sort(unique(ngo$Trafficking.Sub.Type)), selected = NULL,
                            multiple = TRUE, selectize = TRUE, width = NULL, size = NULL)
            ),
            box(width = 4, solidHeader = TRUE,
                selectInput("gender", "Choose a gender: ", choices = sort(unique(ngo$Victim.Gender)), selected = NULL,
                            multiple = TRUE, selectize = TRUE, width = NULL, size = NULL)
            )
        ),
        fluidRow(     
            box(width = 6, solidHeader = TRUE, status = "primary",
                title = "Trafficking Type",
                plotlyOutput("coolplot", width = '750px', height = '600px')
            ),

            box(width = 6, solidHeader = TRUE, status = "primary",
                title = "Trafficking Sub-Type",
                plotlyOutput("Sub", width = '750px', height = '600px')
            )
        )
    )
)

服务器：

server <- function(input, output, session) {

    output$coolplot <- renderPlotly({
        ngo <-
            ngo %>%
            filter(Victim.Nationality %in% input$Nationality,
                   Victim.Gender %in% input$gender,
                   Trafficking.Type %in% input$traffickingType,
                   Trafficking.Sub.Type %in% input$traffickingSubType,
                   Data.Provided.By %in% input$Source
            ) %>%

            plot_ly(labels = ~Trafficking.Type, type = "pie")
    })
}

我希望能够允许用户选择一个输入，它会更新图表，并且他们添加的图表越多，图表就会不断更新。

Answer 1

不是最整洁的，但是如何分离过滤如下：

server <- function(input, output, session) {

    output$coolplot <- renderPlotly({
        req(c(input$gender, input$traffickingType, input$traffickingSubType))

        if(!is.null(input$Nationality)) {
            ngo <- ngo %>% filter(Victim.Nationality %in% input$Nationality)
        }
        if(!is.null(input$gender)) {
            ngo <- ngo %>% filter(Victim.Gender %in% input$gender)
        }
        if(!is.null(input$traffickingType)) {
            ngo <- ngo %>% filter(Trafficking.Type %in% input$traffickingType)
        }
        if(!is.null(input$traffickingSubType)) {
            ngo <- ngo %>% filter(Trafficking.Sub.Type %in% input$traffickingSubType)
        }
        if(!is.null(input$Source)) {
            ngo <- ngo %>% filter(Data.Provided.By %in% input$Source)
        }

        plot_ly(ngo, labels = ~Trafficking.Type, type = "pie")
    })
}
shinyApp(ui, server)

更新

基于以下评论。

我添加了req(c(input$gender, input$traffickingType, input$traffickingSubType))。

我省略了input$Nationality，因为它在启动时等于“A”，我假设input$Source，但如果需要，您可以将input$source 添加到上面的向量c(...)。