我有一个闪亮的应用程序(使用navbarPage),有许多选项卡,并且想添加一个sidebarMenu,无论选择哪个选项卡都可以看到。侧栏中的输入值会影响所有选项卡的内容。 此外,应该可以隐藏sidebarMenu,因为它在shinydashboard中。
我看到两种可能的方式:
(A)使用shinydashboard 并以某种方式添加顶部导航栏或
(B)使用navbarPage 并以某种方式添加可隐藏的侧边栏菜单。
(A)使用shinydashboard ,最接近我想要的是(简化的MWE):
library("shiny")
library("shinydashboard")
cases <- list(A=seq(50,500, length.out=10), B=seq(1000,10000, length.out=10))
ui <- dashboardPage(
dashboardHeader(title = "dash w/ navbarMenu"),
dashboardSidebar(selectizeInput('case', 'Pick a case', selected="A", choices = c("A", "B"), multiple = FALSE), numericInput('num', 'Number', min = 1, max = 10, value = 1, step = 1)),
dashboardBody(
tabsetPanel(
tabPanel(h4("Perspective 1"),
tabsetPanel(
tabPanel("Subtab 1.1", plotOutput("plot11")),
tabPanel("Subtab 1.2")
)),
tabPanel(h4("Perspective 2"),
tabsetPanel(
tabPanel("Subtab 2.1"),
tabPanel("Subtab 2.2")
))
)
)
)
server <- function(input, output) {
output$plot11 <- renderPlot({
hist(rnorm(cases[[input$case]][input$num]))
})
}
shinyApp(ui, server)
基于这个post,我想它不可能包含&#34; Perspective 1&#34;和&#34;透视2&#34;顶部菜单中的选项卡,因此使用shinydashboard似乎不可行。
(B)使用navbarPage ,我尝试使用navlistPanel(),但我没有成功
(1)使其行为像sidebarMenu,即在页面左侧整体可见
(2)添加隐藏功能。这是我的尝试:
library("shiny")
cases <- list(A=seq(50,500, length.out=10),
B=seq(1000,10000, length.out=10))
ui <- navbarPage(title = "nav w/ sidebarMenu",
tabPanel(h4("Perspective 1"),
tabsetPanel(
tabPanel("Subtab 1.1",
plotOutput("plot11")),
tabPanel("Subtab 1.2")
)),
tabPanel(h4("Perspective 2"),
tabsetPanel(
tabPanel("Subtab 2.1"),
tabPanel("Subtab 2.2")
)),
navlistPanel(widths = c(2, 2), "SidebarMenu",
tabPanel(selectizeInput('case', 'Pick a case', selected="A", choices = c("A", "B"), multiple = FALSE)),
tabPanel(numericInput('num', 'Number', min = 1, max = 10, value = 1, step = 1))
)
)
server <- function(input, output) {
output$plot11 <- renderPlot({
hist(rnorm(cases[[input$case]][input$num]))
})
}
shinyApp(ui, server)
我知道,有flexDashboard。它没有解决问题的原因有三个:
(1)我认为无法隐藏侧边栏菜单,因为它是一个列,而不是一个真正的侧边栏菜单,
(2)我的应用程序中不需要它,
(3)我认为dataTables不起作用,我也需要它。
此外,我更喜欢不必将代码更改为Rmarkdown语法。
最好是,我使用navbarPage并添加sidebarMenu,因为我的应用程序已经使用navbarPage构建。
答案 0 :(得分:4)
您可以使用sidebarLayout
并执行以下操作:
ui <- fluidPage(sidebarLayout(
sidebarPanel(navlistPanel(
widths = c(12, 12), "SidebarMenu",
tabPanel(selectizeInput('case', 'Pick a case', selected="A", choices = c("A", "B"), multiple = FALSE)),
tabPanel(numericInput('num', 'Number', min = 1, max = 10, value = 1, step = 1))
)),
mainPanel(navbarPage(title = "nav w/ sidebarMenu",
tabPanel(h4("Perspective 1"),
tabsetPanel(
tabPanel("Subtab 1.1",
plotOutput("plot11")),
tabPanel("Subtab 1.2")
)),
tabPanel(h4("Perspective 2"),
tabsetPanel(
tabPanel("Subtab 2.1"),
tabPanel("Subtab 2.2")
)))
)
))
另一种选择是使用fluidRow
功能。像这样:
ui <- fluidPage(
fluidRow(
column(3, navlistPanel(
widths = c(12, 12), "SidebarMenu",
tabPanel(selectizeInput('case', 'Pick a case', selected="A", choices = c("A", "B"), multiple = FALSE)),
tabPanel(numericInput('num', 'Number', min = 1, max = 10, value = 1, step = 1))
)),
column(9, navbarPage(title = "nav w/ sidebarMenu",
tabPanel(h4("Perspective 1"),
tabsetPanel(
tabPanel("Subtab 1.1",
plotOutput("plot11")),
tabPanel("Subtab 1.2")
)),
tabPanel(h4("Perspective 2"),
tabsetPanel(
tabPanel("Subtab 2.1"),
tabPanel("Subtab 2.2")
))))
)
)
希望它有所帮助!
答案 1 :(得分:2)
现在可以使用bootstraplib
Github请求实现此: https://github.com/rstudio/bootstraplib/issues/76
最低要求:
# package load ------------------------------------------------------------
library(shiny)
library(bootstraplib)
# boot dash layout funs ---------------------------------------------------
boot_side_layout <- function(...) {
div(class = "d-flex wrapper", ...)
}
boot_sidebar <- function(...) {
div(
class = "bg-light border-right sidebar-wrapper",
div(class = "list-group list-group-flush", ...)
)
}
boot_main <- function(...) {
div(
class = "page-content-wrapper",
div(class = "container-fluid", ...)
)
}
# title -------------------------------------------------------------------
html_title <-
'<span class="logo">
<div style="display:inline-block;">
<a href="https://www.google.com"><img src="https://jeroen.github.io/images/Rlogo.png" height="35"/></a>
<b>my company name</b> a subtitle of application or dashboard
</div>
</span>'
# css ---------------------------------------------------------------------
css_def <- "
body {
overflow-x: hidden;
}
.container-fluid, .container-sm, .container-md, .container-lg, .container-xl {
padding-left: 0px;
}
.sidebar-wrapper {
min-height: 100vh;
margin-left: -15rem;
padding-left: 15px;
padding-right: 15px;
-webkit-transition: margin .25s ease-out;
-moz-transition: margin .25s ease-out;
-o-transition: margin .25s ease-out;
transition: margin .25s ease-out;
}
.sidebar-wrapper .list-group {
width: 15rem;
}
.page-content-wrapper {
min-width: 100vw;
padding: 20px;
}
.wrapper.toggled .sidebar-wrapper {
margin-left: 0;
}
.sidebar-wrapper, .page-content-wrapper {
padding-top: 20px;
}
.navbar{
margin-bottom: 0px;
}
@media (max-width: 768px) {
.sidebar-wrapper {
padding-right: 0px;
padding-left: 0px;
}
}
@media (min-width: 768px) {
.sidebar-wrapper {
margin-left: 0;
}
.page-content-wrapper {
min-width: 0;
width: 100%;
}
.wrapper.toggled .sidebar-wrapper {
margin-left: -15rem;
}
}
"
# app ---------------------------------------------------------------------
ui <- tagList(
tags$head(tags$style(HTML(css_def))),
bootstrap(),
navbarPage(
collapsible = TRUE,
title = HTML(html_title),
tabPanel(
"Tab 1",
boot_side_layout(
boot_sidebar(
sliderInput(
inputId = "bins",
label = "Number of bins:",
min = 1,
max = 50,
value = 30
)
),
boot_main(
fluidRow(column(6, h1("Plot 1")), column(6, h1("Plot 2"))),
fluidRow(
column(6, plotOutput(outputId = "distPlot")),
column(6, plotOutput(outputId = "distPlot2"))
)
)
)
),
tabPanel(
"Tab 2",
boot_side_layout(
boot_sidebar(h1("sidebar input")),
boot_main(h1("main output"))
)
)
)
)
server <- function(input, output) {
output$distPlot <- renderPlot({
x <- faithful$waiting
bins <- seq(min(x), max(x), length.out = input$bins + 1)
hist(x,
breaks = bins, col = "#75AADB", border = "white",
xlab = "Waiting time to next eruption (in mins)",
main = "Histogram of waiting times"
)
})
output$distPlot2 <- renderPlot({
x <- faithful$waiting
bins <- seq(min(x), max(x), length.out = input$bins + 1)
hist(x,
breaks = bins, col = "#75AADB", border = "white",
xlab = "Waiting time to next eruption (in mins)",
main = "Histogram of waiting times"
)
})
}
shinyApp(ui, server)
答案 2 :(得分:0)