R Shiny: fast reactive image display - r

I'm trying to display images in my shiny app reactively. I've successfully done that in the server.R script with:
output$display.image <- renderImage({
image_file <- paste("www/",input$image.type,".jpeg",sep="")
return(list(
src = image_file,
filetype = "image/jpeg",
height = 520,
width = 696
))
}, deleteFile = FALSE)
BUT it's very slow.
However, it is VERY fast to embed one of the images into the ui.R script like so:
tabPanel("Live Images", img(src = "img_type1.jpeg"))
Why is there such a difference? Is there any way to make the reactive images appear faster?

Hi you can use conditionalPanel to do this, it embed all your images but only the one which have TRUE to the condition will be displayed :
tabPanel("Live Images",
conditionalPanel(condition = "input.image_type == 'img_type1'",
img(src = "img_type1.jpeg")
),
conditionalPanel(condition = "input.image_type == 'img_type2'",
img(src = "img_type2.jpeg")
)
)
And change the name of your input from image.type to image_type because . have special meaning in Javascript (as between input and image_type).
If you have a lot of images, you can always do something like that :
tabPanel("Live Images",
lapply(X = seq_len(10), FUN = function(i) {
conditionalPanel(condition = paste0("input.image_type == 'img_type", i, "'"),
img(src = paste0("img_type", i, ".jpeg"))
)
})
)
For example, with images from this post by tsperry (you can find it on rbloggers too), you can do :
library("shiny")
ui <- fluidPage(
tabsetPanel(
tabPanel("Live Images",
# 50 images to display
lapply(X = seq_len(50), FUN = function(i) {
# condition on the slider value
conditionalPanel(condition = paste0("input.slider == ", i),
# images are on github
img(src = paste0("https://raw.githubusercontent.com/pvictor/images/master/",
sprintf("%04d", i), "plot.png"))
)
}),
sliderInput(inputId = "slider", label = "Value", min = 1, max = 50, value = 1,
animate = animationOptions(interval = 100, loop = TRUE))
)
)
)
server <- function(input, output) {
}
shinyApp(ui = ui, server = server)

Related

Images not getting displayed under Lightbox gallery function in R shiny

I'm trying to get input from the User( a bunch of images) and then display them on R shiny using Lightbox gallery. Unfortunately I'm unable to get the images, Please help with this regard,Thank you in advance for your help .
below is my code:
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
fileInput(inputId = "file_upload", label = "Upload Images", multiple = TRUE, accept = c('image/*', ".zip"),
width = NULL, buttonLabel = "Browse",
placeholder = "No file selected"),
actionButton("go","Run")
)
),
mainPanel(
fluidRow(
column(12,(uiOutput('lb'))
))
)
)
)
server <- function(input, output) {
vals<-reactiveValues(result=NULL,img_fldr_name=NULL,images=NULL)
observeEvent(input$file_upload, {
c_t <- Sys.time()
dt_str <- format(c_t, "%Y_%m_%d")
hr_str <- format(c_t, "%H_%M_%S")
vals$img_fldr_name <- paste0(dt_str, "_", hr_str)
if (tools::file_ext(input$file_upload$datapath)[[1]] %in% c("jpeg","png","jpg")){
create_folder_name=paste0("trials/www/",vals$img_fldr_name)
dir.create(path = create_folder_name)
for(i in 1:length(input$file_upload$datapath)){
file.copy(input$file_upload$datapath[[i]], paste0(create_folder_name,"/",input$file_upload$name[[i]]), overwrite = TRUE)
}
df <- list.files(paste0("trials/www/",vals$img_fldr_name), full.names = T)
print(df)
images<<-data.frame(src=list.files(paste0("trials/www/",vals$img_fldr_name), full.names = T))
#print(head(vals$images))
vals$result<-images
}
})
observeEvent(input$go,{
output$lb <- renderUI({
images <<- data.frame(src = vals$result$src)
vals$images <- images
lightbox_gallery <- function(df, gallery, display = 'block'){
print(df)
tags$div(style = sprintf('display: %s;', display),
tagList(tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "lightbox-2.10.0/lightbox.min.css"),
tags$link(rel = "stylesheet", type = "text/css", href = "gallerystyle.css")
),
tags$div(class = 'card-deck',
lapply(seq_len(nrow(df)), function(i){
print("Inside Loop")
print(df$src[i])
tags$div(`data-type`="template", class = 'card',
tags$a(#id = df$key[i],
href = df$src[i],
`data-lightbox` = gallery, # this identifies gallery group
`data-title` = paste0("Image"),
tags$span(style="color:black;text-align: center"),
tags$img(class = 'card-img-top',
src = df$src[i],
width = '80px',
height = 'auto')),
)
})
),
includeScript("www/lightbox-2.10.0/lightbox.min.js")
))
}
lightbox_gallery(vals$images, 'gallery', display = TRUE)
#paste0()
})
})
}
shinyApp(ui = ui, server = server)
Print statement inside loop gives proper path to image.
Also the respective folders and scripts are in place.
The code below works. I removed the nesting of how you prepare the output for better readability.
I think the main problem was that you read the image files from a directory outside www in your project folder. I would keep everything in there. This makes it easier. Take a look at the code: when the images are uploaded I explicitely save them to www/.... While preparing the output, I remove the www prefix using gsub, since Shiny is looking for resources in there by default.
Finally, make sure to use reactive values properly. You don't need to define a global images variable. Just use the reactive values. And there again, it is probably sufficient to have one reactive value which holds all the paths as a vector (e.g. paths <- reactiveVal(NULL)).
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
fileInput(inputId = "file_upload", label = "Upload Images", multiple = TRUE, accept = c('image/*', ".zip"),
width = NULL, buttonLabel = "Browse",
placeholder = "No file selected"),
actionButton("go","Run")
)
),
mainPanel(
fluidRow(
column(12,(htmlOutput('lb'))
))
)
)
)
server <- function(input, output) {
vals<-reactiveValues(result=NULL,img_fldr_name=NULL,images=NULL)
observeEvent(input$file_upload, {
c_t <- Sys.time()
dt_str <- format(c_t, "%Y_%m_%d")
hr_str <- format(c_t, "%H_%M_%S")
vals$img_fldr_name <- paste0(dt_str, "_", hr_str)
if (tools::file_ext(input$file_upload$datapath)[[1]] %in% c("jpeg","png","jpg")){
create_folder_name=paste0("www/trials/www/",vals$img_fldr_name)
dir.create(path = create_folder_name)
for(i in 1:length(input$file_upload$datapath)){
file.copy(input$file_upload$datapath[[i]], paste0(create_folder_name,"/",input$file_upload$name[[i]]), overwrite = TRUE)
}
images <- data.frame(src=list.files(paste0("www/trials/www/",vals$img_fldr_name), full.names = T))
vals$result <- images
}
})
get_lb <- eventReactive(input$go,{
images <- data.frame(src = vals$result$src)
vals$images <- images
lightbox_gallery(vals$images, 'gallery', display = TRUE)
})
lightbox_gallery <- function(df, gallery, display = 'block'){
tags$div(style = sprintf('display: %s;', display),
tagList(tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "lightbox.min.css"),
tags$link(rel = "stylesheet", type = "text/css", href = "gallerystyle.css")
),
tags$div(class = 'card-deck',
lapply(seq_len(nrow(df)), function(i){
print("Inside Loop")
print(df$src[i])
tags$div(`data-type`="template", class = 'card',
tags$a(#id = df$key[i],
href = gsub("^www/", "", df$src[i]),
`data-lightbox` = gallery, # this identifies gallery group
`data-title` = paste0("Image"),
tags$span(style="color:black;text-align: center"),
tags$img(class = 'card-img-top',
src = df$src[i],
width = '80px',
height = 'auto')),
)
})
),
includeScript("www/lightbox.min.js")
))
}
output$lb <- renderUI({
get_lb()
})
}
shinyApp(ui = ui, server = server)

Independent reactions are interacting in a Shiny App

I'm using the sliderInput function with the animate argument to perform an automatic calculation in my shinyApp. However, using animate is affecting other reactions in my app. I would like to stop this side effect that is occurring in other reactivities.
For example, I have a dropdownMenu inside an if else structure. But, because of the animate argument, I can't click the option in the top right corner when I start the animation. It is disappearing with each calculation that the animate is doing. See:
I tried use isolate() in pred_1() but it stop the valueBox and the conditional structure (if else structure).
I'd like to just make animate not affect other reactivity in the app.
My app:
library(shiny)
library(shinydashboard)
header <- dashboardHeader(
title = "Dashboard",
titleWidth = 300,
dropdownMenuOutput(
outputId = "drop1"
)
)
sidebar <- dashboardSidebar(
width = 300
)
body <- dashboardBody(
sliderInput(
inputId = "one",
label = "Registro 1",
value = 1,
animate = animationOptions(
interval = 500, loop = TRUE
),
min = 1,
max = 10,
step = 1,
ticks = TRUE
),
sliderInput(
inputId = "two",
label = "Registro 2",
value = 1,
animate = animationOptions(
interval = 500, loop = TRUE
),
min = 1,
max = 10,
step = 1,
ticks = TRUE
),
sliderInput(
inputId = "three",
label = "Sum 3",
value = 1,
animate = animationOptions(
interval = 500, loop = TRUE
),
min = 1,
max = 10,
step = 1,
ticks = TRUE
),
valueBoxOutput(
outputId = "box1"
)
)
ui <- dashboardPage(
header = header,
sidebar = sidebar,
body = body
)
server <- function(session, input, output) {
fx <- function(x, y) {
x + y
}
fy <- function(x) {
x
}
reac_0 <- reactive({
tibble::tibble(
one = input$one,
two = input$two,
three = input$three
)
})
chuveiro <- reactive({
temp <- reac_0()
fx(
x = temp$one,
y = temp$two
)
})
luz <- reactive({
temp <- reac_0()
fy(
x = temp$three
)
})
fdrop <- function(x) {
if (x <= 5) {
dropdownMenu(
type = "notifications",
badgeStatus = NULL,
headerText = "Not 1",
notificationItem(
text = HTML(
"<text style='color:#020202;'>Without.</text>"
),
status = "danger",
icon = icon("times"),
href = NULL
)
)
} else (
dropdownMenu(
type = "notifications",
badgeStatus = "danger",
headerText = "Not 2",
notificationItem(
text = HTML(
"<a style='color:#020202;'
href='https://www.instagram.com' target='_blank' title='A'>
With</a>"
),
status = "success",
icon = icon("tags")
)
)
)
}
output$drop1 <- renderMenu({
expr = fdrop(x = luz())
})
output$box1 <- renderValueBox({
expr = valueBox(
value = chuveiro(),
subtitle = "Sum"
)
})
}
shinyApp(ui, server)
So how can I make one reactivity effect another in a shinyApp?
I would like to click normally on the dropdownMenu notification with the sliderInput working with animate.
I tried isolating each argument of sliderInput, but not work.
The reac0() reactive is triggered whenever an input changes. Then it triggers every reactive that includes it, even if the value used in that reactive has not changed.
Your code :
reac_0 <- reactive({
tibble::tibble(
one = input$one,
two = input$two,
three = input$three
)
})
luz <- reactive({
temp <- reac_0()
fy(
x = temp$three
)
})
triggers luz() whenever one, two or three changes.
An alternative would be to use input$three directly:
luz <- reactive({
fy(
x = input$three
)
})
This way, the change or animation of slider one and two won't trigger luz() which won't trigger the menu rendering.
Of course, since the value of slider three is used to render the menu, any update of its value has to trigger the menu rendering.

R Shiny - How to remove flickering when using SliderInput to animate static images?

I am building a shiny dashboard and plan to use SliderInput to animate a set of exisiting pngs. To do so, in the UI I have:
tabItem(tabName = 'Image',
fluidRow(
box(title = "", status="primary",solidHeader = F,width = 9,
uiOutput("animate_img"),
tags$style(type="text/css", "recalculating { opacity: 1.0 !important; }") # NOT WORKING
),
box(
title = "Options", status="info",solidHeader = TRUE,width = 3,
sliderInput("dates_img",
"Dates:",
min = as.Date("2017-01-01","%Y-%m-%d"),
max = as.Date("2018-12-31","%Y-%m-%d"),
value=as.Date("2017-01-01"),
timeFormat="%Y-%m-%d",
animate=animationOptions(interval=1000, loop = TRUE))
)
)
)
and in the server I have:
output$animate_img <- renderUI({
y <- year(input$dates_img)
d <- yday(input$dates_img)
filename <- sprintf("img_%d_%d.png",d,y)
tags$img(src = filename, width="100%")
})
While this code works to display the images, when I use the "play" button on the sliderInput to animate the images, there is flickering as each image loads. I would like to have a smooth animation if possible.
As suggested here, I have tried adding tags$style(type="text/css", "recalculating { opacity: 1.0 !important; }") to the UI, but this does not work.
Any recommendations for how to prevent the images from flickering as the animation plays? Thank you!
I was able to get it to work without any flickering by simply adjusting how the CSS is included in the rendered HTML. I used shinyjs::inlineCSS in my example, but the same could be done via sourcing an external stylesheet .css file with tags$head and tags$script or via includeCSS, etc. The key is to have the CSS loaded into the full HTML document's head (can verify via browser DevTools):
library(shiny)
library(shinydashboard)
library(shinyjs)
library(lubridate)
ui <- fluidPage(
shinyjs::inlineCSS(
"recalculating { opacity: 1.0 !important; }"
),
fluidRow(
box(title = "",
status = "primary",
solidHeader = F,
width = 9,
uiOutput("animate_img")
),
box(
title = "Options",
status = "info",
solidHeader = TRUE,
width = 3,
sliderInput("dates_img",
"Dates:",
min = as.Date("2017-01-01","%Y-%m-%d"),
max = as.Date("2018-12-31","%Y-%m-%d"),
value = as.Date("2017-01-01"),
timeFormat = "%Y-%m-%d",
animate = animationOptions(interval = 1000, loop = TRUE))
)
)
)
server <- function(input, output) {
output$animate_img <- renderUI({
y <- year(input$dates_img)
d <- yday(input$dates_img)
filename <- sprintf("img_%d_%d.png",d,y)
tags$img(src = filename, width="100%")
})
}
shinyApp(ui = ui, server = server)
Just make sure that your image files are placed directly in the www folder and it should work.
Thanks,
Jimmy

Shiny Dashboard formatting issue

library(needs)
needs(
shiny,
ggplot2,
tidyverse,
shinydashboard,
DT
)
source("~/functions.R",local = T)
# Define UI for application that draws a histogram
header = dashboardHeader(
# tags$li(class = "dropdown",
# tags$style(".main-header {max-height: 80px}"),
# tags$style(".main-header .logo {height: 80px}")),
#title = tags$img(src='logo.png',height='100',width='200')
)
sidebar = dashboardSidebar(
menuItem("Full data",tabName="Data",icon=icon("table"),startExpanded = F,
fileInput("file","Upload CSV files",multiple=TRUE,accept=("text/comma"))),
menuItem(text = 'Simulate',tabName = 'simulate',icon=icon('chart-line'),
helpText('Simulation Parameters'),
radioButtons('type',"Please choose the type of analysis:",choices = list("Gender" = 1,"US Minority Status" = 2),selected = 1),
sliderInput("numSims","Number of simulations:",min = 1, max = 10000,step = 1000,value = 10000),
sliderInput("numYears","Number of years to simulate:",min = 1,max = 5,value = 3,step = 1),
numericInput('turnover','Total Turnover', value = 10),
sliderInput('promoRate','Set Promo rate', value = 25, min = 1, max = 100, step = 5),
sliderInput('growthRate','Set growth rate',value = 0,min=0,max=100,step = 1),
helpText('0% Growth Rate assumes a flat, constant headcount'),
actionButton('go',label = "Update"),width = 4)
)
body <- dashboardBody(
tabItems(
tabItem(
tabName = 'data',
fluidRow(wellPanel(
fileInput(
inputId = 'file',
label = "File Upload:",
accept = c("csv", ".csv")))),
wellPanel(DT::dataTableOutput('table'))),
tabItem(
tabName = 'simulate',
fluidRow(
wellPanel(
DT:::dataTableOutput('simDataTable')
))
)
))
ui = shinydashboard::dashboardPage(header,sidebar,body,skin='red')
server = server <- function(input, output) {
options(shiny.maxRequestSize = 30 * 1024 ^ 2)
dataset <- reactive({
req(input$file)
read.csv(input$file$datapath)
})
output$table = renderDataTable(dataset(), filter = 'top',options = list(scrollX = TRUE))
simulate = eventReactive(input$go,{
req(input$numSims,input$type)
x = dataset()
temp = dataSim(x,type=input$type,
numSims = input$numSims)
})
simulateAvg = reactive({
x = simulate()
y = x %>% group_by(Role) %>% summarise(mean(freq))
})
output$simDataTable = renderDataTable(simulateAvg())
}
shinyApp(ui,server)
I'm having some trouble with two issues.
1.) The formatting of the shiny dashboard is odd. The text on the side bar seems very compacted and not what other shiny dashboards look like. I'm not sure what the issue is.
2.) After upload, a table is suppose to appear on the dashboard body but it doesn't
3.) Once a table appears and I head to the simulate tab, will the dashboard body change accordingly and display the simulateAvgData set that I populated?
The dataSim function is from the source file on top. I don't receive any errors when I run anything so looking for guidance and inputs to whether or not this shiny dashboard work as intended. I'm newer to the dashboard packages from shiny.
You have a couple of issues here. You do not need a fileInput statement inside dashboardBody. Next, within dashboardSidebar, you can define fileInput at the top level of menuItem (option 1 in the code below), or a sub-level of the first menuItem (option 2 below). In either case, you need to have a menuItem with a tabName where you want to display the file that was read in. Once you read the input file, you need to select the appropriate tab to see the displayed data. Try this code
header <- dashboardHeader()
### option 1: fileInput at the first menuItem level
# sidebar <- dashboardSidebar(width=320,
# menuItem("Full data",tabName="Data",icon=icon("table"),startExpanded = F),
# fileInput("file","Upload CSV files",multiple=FALSE,accept=c("csv", ".csv"))
# )
### option 2 - fileInput as a subitem
sidebar <- dashboardSidebar(width=320,
menuItem("Full data",tabName="noData",icon=icon("table"),startExpanded = F, ## data not displayed for this tabName
menuItem("Full_data",tabName="Data", icon=icon("table")),
fileInput("file","Upload CSV files",multiple=FALSE,accept=c("csv", ".csv")))
)
body <- dashboardBody(
tabItems(
tabItem(
tabName = 'Data',
fluidRow(DTOutput('table')))
))
ui <- shinydashboard::dashboardPage(header,sidebar,body,skin='red')
server <- function(input, output, session) {
data1 <- reactive({
req(input$file)
data <- read.csv(input$file$datapath,sep = ",", header = TRUE)
})
output$table <- renderDT(data1())
}
shinyApp(ui,server)

Navbar/Tabset with reactive Panel number but NOT rendering everything

This question might seem to be a duplicate, but let me explain why it's not.
I want to create a shiny navbarPage that has fixed elements and a reactive number of tabPanels, that reacts to other input elements. There are many questions about how to create reactive tabsetPanels/navbarPages but they mostly aim for what it has to look like. The most common answer (and the answer i don't seek) is to render the whole navbarPage with updated set of tabPanels. I am aware of that concept and I used it in the code below.
Here is what I want my app to look like:
library(shiny)
runApp(
shinyApp(
ui = shinyUI(
fluidPage(
uiOutput("navPage")
)
),
server = function(input, output, session){
MemoryValue1 <- 1
MemoryValue2 <- 1
makeReactiveBinding("MemoryValue1")
observeEvent(input$button, {
output[[paste0("plot_", input$number)]] <- renderPlot({
hist(rnorm(1000))
})
})
observeEvent(input$insidepanels, {
MemoryValue1 <<- input$insidepanels
})
observeEvent(input$number, {
MemoryValue2 <<- input$number
})
output$navPage <- renderUI({
OutsidePanel1 <- tabPanel("Outside1",
numericInput("insidepanels", label = "Number of panels inside NavMenu", value = isolate(MemoryValue1), step = 1, min = 1),
numericInput("number", label = "Panel to add Output-Element to", value = 1, step = isolate(MemoryValue2), min = 1),
actionButton("button", label = "Add Output-Element")
)
OutsidePanel2 <- tabPanel("Ouside2", "Outside 2")
InsidePanels <- lapply(1:MemoryValue1, function(x){tabPanel(paste0("Inside", x), plotOutput(paste0("plot_", x)))})
do.call(navbarPage, list("Nav", OutsidePanel1, OutsidePanel2, do.call(navbarMenu, c("Menu", InsidePanels))))
})
}
)
)
As you might have seen, it takes a lot of effort to store your input values if they are inside other panels and will be re-rendered = reset all the time. I find this solution to be illegible and slow, because of unnecessary rendering. It also interrupts the user who is clicking through values of input$insidepanels.
What I want the app to be like is that the Outside Panels are fixed and dont re-render. The main problem is that inside shiny, navbarPage on rendering distributes HTML elements to two different locations. Inside the navigation panel and to the body as tab content. That means a-posteori added elements will not be properly embedded.
So far, I have tried to create the navbarPage with custom tags and have dynamic output alter only parts of it. That works pretty well with the navigation panel, but not with tab contents. The reason is that all tabs (their div containers) are listed one after another and as soon as I want to inject multiple at once, I am offthrown by htmlOutput, since it (seemingly) has to have a container and cannot just deliver plain HTML. Thus, all custom tabs are not recongnized properly.
Here my code so far:
library(shiny)
runApp(
shinyApp(
ui = shinyUI(
fluidPage(
tags$nav(class = "navbar navbar-default navbar-static-top", role = "navigation",
tags$div(class = "container",
tags$div(class = "navbar-header",
tags$span(class = "navbar-brand", "Nav")
),
tags$ul(class = "nav navbar-nav",
tags$li(
tags$a(href = "#tab1", "data-toggle" = "tab", "data-value" = "Outside1", "Outside1")
),
tags$li(
tags$a(href = "#tab2", "data-toggle" = "tab", "data-value" = "Outside2", "Outside2")
),
tags$li(class = "dropdown",
tags$a(href = "#", class = "dropdown-toggle", "data-toggle" = "dropdown", "Menu1"),
htmlOutput("dropdownmenu", container = tags$ul, class = "dropdown-menu")
)
)
)
),
tags$div(class = "container-fluid",
tags$div(class = "tab-content", id = "tabContent",
tags$div(class = "tab-pane active", "data-value" = "Outside1", id = "tab1",
numericInput("insidepanels", label = "Number of panels inside NavMenu", value = 1, step = 1, min = 1),
numericInput("number", label = "Panel to add Output-Element to", value = 1, step = 1, min = 1),
actionButton("button", label = "Add Output-Element")
),
tags$div(class = "tab-pane", "data-value" = "Outside2", id = "tab2", "Content 2"),
htmlOutput("tabcontents")
)
)
)
),
server = function(input, output, session){
observeEvent(input$button, {
output[[paste0("plot_", input$number)]] <- renderPlot({
hist(rnorm(1000))
})
})
output$dropdownmenu <- renderUI({
lapply(1:input$insidepanels, function(x){tags$li(tags$a(href = paste0("#tab-menu-", x), "data-toggle" = "tab", "data-value" = paste0("Inside", x), paste("Inside", x)))})
})
output$tabcontents <- renderUI({
tagList(
lapply(1:input$insidepanels, function(x){div(class = "tab-pane", "data-value" = paste("Inside", x), id = paste0("tab-menu-", x), plotOutput(paste0("plot_", x)))})
)
})
}
)
)
Note: I also tried to create HTML with JavaScript-Chunks that is triggered from inside server. This works for simple tab content, but I want my tabPanels to still have shiny output elements. I don't see how I can fit that in with JavaScript. That is why I included the plotOutput content in my code.
Thanks to anybody who can help solve this issue!
Finally came up with an own answer. I hope this can be a useful reference to others who try to understand shiny reactiveness. The answer is JavaScript for custom elements (rebuilding standard shiny elements) and using Shiny.unbindAll() / Shiny.bindAll() to achieve the reactivity.
Code:
runApp(
shinyApp(
ui = shinyUI(
fluidPage(
tags$script('
Shiny.addCustomMessageHandler("createTab",
function(nr){
Shiny.unbindAll();
var dropdownContainer = document.getElementById("dropdown-menu");
var liNode = document.createElement("li");
liNode.setAttribute("id", "dropdown-element-" + nr);
var aNode = document.createElement("a");
aNode.setAttribute("href", "#tab-menu-" + nr);
aNode.setAttribute("data-toggle", "tab");
aNode.setAttribute("data-value", "Inside" + nr);
var textNode = document.createTextNode("Inside " + nr);
aNode.appendChild(textNode);
liNode.appendChild(aNode);
dropdownContainer.appendChild(liNode);
var tabContainer = document.getElementById("tabContent");
var tabNode = document.createElement("div");
tabNode.setAttribute("id", "tab-menu-" + nr);
tabNode.setAttribute("class", "tab-pane");
tabNode.setAttribute("data-value", "Inside" + nr);
var plotNode = document.createElement("div");
plotNode.setAttribute("id", "plot-" + nr);
plotNode.setAttribute("class", "shiny-plot-output");
plotNode.setAttribute("style", "width: 100% ; height: 400px");
tabNode.appendChild(document.createTextNode("Content Inside " + nr));
tabNode.appendChild(plotNode);
tabContainer.appendChild(tabNode);
Shiny.bindAll();
}
);
Shiny.addCustomMessageHandler("deleteTab",
function(nr){
var dropmenuElement = document.getElementById("dropdown-element-" + nr);
dropmenuElement.parentNode.removeChild(dropmenuElement);
var tabElement = document.getElementById("tab-menu-" + nr);
tabElement.parentNode.removeChild(tabElement);
}
);
'),
tags$nav(class = "navbar navbar-default navbar-static-top", role = "navigation",
tags$div(class = "container",
tags$div(class = "navbar-header",
tags$span(class = "navbar-brand", "Nav")
),
tags$ul(class = "nav navbar-nav",
tags$li(
tags$a(href = "#tab1", "data-toggle" = "tab", "data-value" = "Outside1", "Outside1")
),
tags$li(
tags$a(href = "#tab2", "data-toggle" = "tab", "data-value" = "Outside2", "Outside2")
),
tags$li(class = "dropdown",
tags$a(href = "#", class = "dropdown-toggle", "data-toggle" = "dropdown", "Menu1"),
tags$ul(id = "dropdown-menu", class = "dropdown-menu")
)
)
)
),
tags$div(class = "container-fluid",
tags$div(class = "tab-content", id = "tabContent",
tags$div(class = "tab-pane active", "data-value" = "Outside1", id = "tab1",
numericInput("insidepanels", label = "Number of panels inside NavMenu", value = 0, step = 1),
numericInput("number", label = "Panel to add Output-Element to", value = 0, step = 1),
actionButton("button", label = "Add Output-Element")
),
tags$div(class = "tab-pane", "data-value" = "Outside2", id = "tab2", "Content 2")
)
)
)
),
server = function(input, output, session){
allOpenTabs <- NULL
observeEvent(input$insidepanels, {
if(!is.na(input$insidepanels)){
localList <- 0:input$insidepanels
lapply(setdiff(localList, allOpenTabs), function(x){
session$sendCustomMessage(type = "createTab", message = x)
})
lapply(setdiff(allOpenTabs, localList), function(x){
session$sendCustomMessage(type = "deleteTab", message = x)
})
allOpenTabs <<- localList
}
})
observeEvent(input$button, {
output[[paste0("plot-", input$number)]] <- renderPlot({
hist(rnorm(1000))
})
})
}
), launch.browser = TRUE
)
It is basically adding the HTML Elements "by hand" and linking them to shiny listeners.

Resources