我有一个闪亮的应用程序,我希望捕获用户点击哪个栏并将该值存储在反应表达式中,以便在其他地方引用以进行过滤。问题是当我切换标签时反应表达式重新运行,因此值不会在两个标签之间同步。
我有一个可重复的例子如下。
当你加载应用程序并单击山羊栏时,底部的选择会变为“山羊”,但如果你将标签更改为Bar2,则反应表达式会重新运行,因此会再次返回长颈鹿。因此,我最终为不同选项卡中的反应式表达式提供了两个单独的值。如果我在第一个选项卡上选择Goats,我希望在切换到Bar2选项卡时保留它,并且仅在我再次单击时更新。
请注意,我意识到我可以通过从event_data函数中删除source参数来解决此问题,但在我的应用程序中我有其他图表,我不希望用户能够点击这样我需要设置只有这些图表的来源。
library(shiny)
library(plotly)
library(ggplot2)
library(shinydashboard)
df_test <- data.frame(c("Giraffes","Goats"),c(1,4))
df_test <- setNames(df_test,c("species","amount"))
ui <- dashboardPage(
dashboardHeader(title = "Click Example",
titleWidth = 300),
dashboardSidebar(
width = 300,
sidebarMenu(
menuItem("Tab", tabName = "tab")
)
),
dashboardBody(
tabItems(
tabItem(tabName = "tab",
fluidRow(
column(12, tabBox(
title = "",
id = "tabSet",
width = 12,
height = 500,
tabPanel("Bar1", plotlyOutput(outputId="bar_one")),
tabPanel("Bar2", plotlyOutput(outputId="bar_two"))
)
),
column(12,textOutput(outputId = "selection")))
)
)
)
)
server <- function(input, output, session) {
click_reactive = reactive({
d <- event_data("plotly_click",source=input$tabSet)
if (length(d) == 0) {species = as.vector(df_test$species[1])}
else {species = as.character(d[4])}
return(species)
})
output$bar_one <- renderPlotly({
p <- plot_ly(data = df_test, x = ~amount, y = ~species, type = 'bar', orientation = 'h', source = "Bar1")
})
output$bar_two <- renderPlotly({
p <- plot_ly(data = df_test, x = ~amount, y = ~species, type = 'bar', orientation = 'h', source = "Bar2")
})
output$selection <- renderText({
species <- click_reactive()
return(species)
})
}
shinyApp(ui, server)
答案 0 :(得分:0)
您需要将source
更改为一个名称:
library(shiny)
library(plotly)
library(ggplot2)
library(shinydashboard)
df_test <- data.frame(c("Giraffes","Goats"),c(1,4))
df_test <- setNames(df_test,c("species","amount"))
ui <- dashboardPage(
dashboardHeader(title = "Click Example",
titleWidth = 300),
dashboardSidebar(
width = 300,
sidebarMenu(
menuItem("Tab", tabName = "tab")
)
),
dashboardBody(
tabItems(
tabItem(tabName = "tab",
fluidRow(
column(12, tabBox(
title = "",
id = "tabSet",
width = 12,
height = 500,
tabPanel("Bar1", plotlyOutput(outputId="bar_one")),
tabPanel("Bar2", plotlyOutput(outputId="bar_two"))
)
),
column(12,textOutput(outputId = "selection")))
)
)
)
)
server <- function(input, output, session) {
v <- reactiveValues()
observe({
d <- event_data("plotly_click",source="Bar1")
if (length(d) == 0) {species = as.vector(df_test$species[1])}
else {species = as.character(d[4])}
v$click <- species
})
output$bar_one <- renderPlotly({
p <- plot_ly(data = df_test, x = ~amount, y = ~species, type = 'bar', orientation = 'h', source = "Bar1")
})
output$bar_two <- renderPlotly({
p <- plot_ly(data = df_test, x = ~amount, y = ~species, type = 'bar', orientation = 'h', source = "Bar1")
})
output$selection <- renderText({
v$click
})
}
shinyApp(ui, server)