我正在尝试在页面底部和中心的闪亮应用信息中心中插入页脚。但它正在身体的中心。此外,我无法将其放在页面底部
这是我的代码:
library(shiny)
library(shinydashboard)
library(DT)
library(ggvis)
library(shiny)
ui <- dashboardPage(
dashboardHeader(title = "Dashboard"),
dashboardSidebar(sidebarMenu(
menuItem("Instructions", tabName = "genIns", icon = icon("info-circle")),
menuItem("Data", tabName = "data", icon = icon("table"))
)),
dashboardBody(
tabItems(
# First tab content
tabItem(tabName = "genIns",
fluidPage(
titlePanel("General Instruction will go here"))
),
# Second tab content
tabItem(tabName = "data",
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30),
plotOutput("distPlot")
)
),
tags$footer("My footer", align = "center")
)
)
server.ui
shinyServer(function(input, output, session) {
output$distPlot <- renderPlot({
x <- faithful[, 2] # Old Faithful Geyser data
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
})
答案 0 :(得分:6)
您可以将dashbordPage
打包到tagList
,然后将tags$footer
作为第二个参数放到tagList
。您还可以使用css进一步修改页脚的样式。
完整示例:
library(shiny)
library(shinydashboard)
library(DT)
library(ggvis)
library(shiny)
ui <- tagList(
dashboardPage(
dashboardHeader(title = "Dashboard"),
dashboardSidebar(sidebarMenu(
menuItem("Instructions", tabName = "genIns", icon = icon("info-circle")),
menuItem("Data", tabName = "data", icon = icon("table"))
)),
dashboardBody(
tabItems(
# First tab content
tabItem(tabName = "genIns",
fluidPage(
titlePanel("General Instruction will go here"))
),
# Second tab content
tabItem(tabName = "data",
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30),
plotOutput("distPlot")
)
)
)
),#end dashboardPage
tags$footer("My footer", align = "center", style = "
position:absolute;
bottom:0;
width:100%;
height:50px; /* Height of the footer */
color: white;
padding: 10px;
background-color: black;
z-index: 1000;")
)#end tagList
server <- shinyServer(function(input, output, session) {
output$distPlot <- renderPlot({
x <- faithful[, 2] # Old Faithful Geyser data
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')
})
})
shinyApp(ui, server)