我把代码放在一起。
-伊恩
data(mtcars)
library(shiny)
library(shinydashboard)
library(dplyr)
ui <- dashboardPage(
dashboardHeader(title = "Dynamic sidebar"),
dashboardSidebar(sidebarMenu(id = "menu", sidebarMenuOutput("menu"))),
dashboardBody(tabItems
(
tabItem
(tabName = "plots", h2("Dashboard plots"),
fluidRow(column(width = 12, class = "well",
h4("Boxplot"),
plotOutput("bxp")))
),
tabItem(tabName = "dashboard", h2("Dashboard tab content"),
dataTableOutput(outputId = "subdt"))
)
)
)
server <- function(input, output, session) {
output$menu <- renderMenu({
sidebarMenu(
menuItem("Plots Menu", tabName = "plots", icon = icon("line-chart")),
menuItem("Table Menu", icon = icon("info"),
menuSubItem(
"Dashboard", tabName = "dashboard", icon = icon("calendar")
),
selectInput(
inputId = "mcm", label = "Some label", multiple = TRUE,
choices = unique(mtcars$cyl), selected = unique(mtcars$cyl)
)
)
)
})
datsub <- reactive({
mtcars %>%
filter_at(vars("cyl"), all_vars(. %in% input$mcm))
})
output$subdt <- renderDataTable({
datsub()
})
output$bxp <- renderPlot({
hist(rnorm(100))
})
}
shinyApp(ui, server)