library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
includeCSS(path = "AdminLTE.css"), #added
includeCSS(path = "shinydashboard.css"), #added
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
box(plotOutput("distPlot"), solidHeader = T, collapsible = T, title = "collapsible box not collapsing", status = "primary")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}
# Run the application
shinyApp(ui = ui, server = server)
结果是
在上图中,单击mininize按钮时,可碰撞框不会折叠。
我在工作目录中添加了addtional AdminLTE.css
和shinydashboard.css
文件,但问题仍然存在。
答案 0 :(得分:3)
仅使用闪亮的可折叠盒子。我们需要添加所需的javascript。在添加css之后,我们也添加了this文件。
includeCSS(path = "AdminLTE.css"), #added
includeCSS(path = "shinydashboard.css"), #added
#add this file and collapsible nature should work.
includeScript(path = "app.js"), #
答案 1 :(得分:1)
如果您没有使用shinydashboard
的限制,只需创建一个没有标题和侧边栏的仪表板页面。它将启用shinydashboard
的所有功能,它看起来像一个基本的闪亮应用程序。在单击下面的代码中,单击最小化/最大化按钮时折叠/解除折叠。
library(shiny)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(disable = TRUE),
dashboardSidebar(disable = TRUE),
dashboardBody(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins", "Number of bins:", min = 1, max = 50, value = 30)
),
# Show a plot of the generated distribution
mainPanel(
box(plotOutput("distPlot"), solidHeader = T, collapsible = T,
title = "collapsible box not collapsing", status = "primary")
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}
# Run the application
shinyApp(ui = ui, server = server)