I am trying to put dynamic text in shiny's header, and have managed to put text in it, but cannot get it to update after it has received new data from an reactive expression. To put text in the header, I have used a basic Java call, tags$script.
My concern is that renderUI only renders the 1st time, and does not force render whenever the reactive value (val) is updated, which is exactly what I require.
Apologies for the weird example below, I have a HUGE dashboard which has several chained dependencies, and I have tried to replicate the types of dependencies in the reproducible example below.
library(shiny)
library(shinydashboard)
ui <- fluidPage(
dashboardPage(skin = 'black',
dashboardHeader(title = "test"),
dashboardSidebar(
sidebarMenu(id = 'MenuTabs',
menuItem("dummy", tabName = "rawanalysis", selected = TRUE, icon = icon("dashboard"))
)
),
dashboardBody(
uiOutput(outputId = 'Header'),
fluidRow(
box(
actionButton("change", "Change")
)
))))
server <- function(input, output) {
Go_rv <- reactiveValues(val = 0)
observeEvent(input$change, {
sam <- rnorm(1)
if(sam > 0){
Go_rv$val <- TRUE
} else {
Go_rv$val <- FALSE
}
})
val <- reactive({
print(Go_rv$val)
if(Go_rv$val){
out <- 0
} else {
out <- -5
}
return(out)
})
output$Header <- renderUI({
removeUI(
selector = "div:has(> #Header)"
)
header_text <- paste0('$(document).ready(function() {
$("header").find("nav").append(\'<div class="myClass">', val(), '</div>\');})')
tags$script(HTML(header_text),
id = 'Header'
)
})
}
shinyApp(ui = ui, server = server)
Basically, a reactive text output with observeEvent should do this job!
library(shiny)
library(shinydashboard)
ui <- fluidPage(
dashboardPage(skin = 'black',
dashboardHeader(title = textOutput('test')),
dashboardSidebar(
sidebarMenu(id = 'MenuTabs',
menuItem("dummy", tabName = "rawanalysis", selected = TRUE, icon = icon("dashboard"))
)
),
dashboardBody(
#uiOutput(outputId = 'Header'),
fluidRow(
box(
actionButton("change", "Change")
)
))))
server <- function(input, output,session) {
title_change <- reactive({
input$change
as.character(Sys.time())
})
observeEvent(input$change, { output$test <- renderText({ title_change()
})
})
}
shinyApp(ui = ui, server = server)
Related
Problem: In below Shiny app, I want to change and insert new rows to the following data via rhandsontable:
data.frame(car = c("Opel", "Nissan", "Opel", "VW"),
location = c("Ruesselsheim", "Frankreich", "Ruesselsheim", "Wolfsburg"))
If I change for example car == Opel to car == VW the location shall change from Ruesselsheim to Wolfsburg.
If I insert a new row and for example populate it with car == Opel then location shall be Ruesselsheim directly after providing the car input
Question: How can I conditionally change the cell values and define conditional default values?
Attempts: hot_col has a default argument but it only accepts a string and not a condition. Also tracking the changes via an observer seems not really the best way to do it.
Any ideas on how to approach this? Many thanks!
library(shiny)
library(rhandsontable)
ui = shinyUI(fluidPage(
titlePanel("Handsontable"),
sidebarLayout(
sidebarPanel(
rHandsontableOutput("hot")
),
mainPanel(
verbatimTextOutput("debug")
)
)
))
server = function(input, output) {
data <- reactive({
data.frame(car = c("Opel", "Nissan", "Opel", "VW"),
location = c("Ruesselsheim", "Frankreich", "Ruesselsheim", "Wolfsburg"))
})
output$hot <- renderRHandsontable({
DF <- data()
rhandsontable(DF, useTypes = FALSE, selectCallback = TRUE)
})
### DEBUG
output$debug <- renderPrint({
req(input$hot)
input$hot$changes
})
}
shinyApp(ui = ui, server = server)
The desired behaviour can be achived by using a reactiveVal and a lookup-table to merge the current selection with:
library(shiny)
library(rhandsontable)
ui = shinyUI(fluidPage(
titlePanel("Handsontable"),
sidebarLayout(
sidebarPanel(
rHandsontableOutput("hot")
),
mainPanel(
verbatimTextOutput("debug")
)
)
))
server = function(input, output) {
LUT_DF <- data.frame(car = c("Opel", "Nissan", "VW"),
location = c("Ruesselsheim", "Frankreich", "Wolfsburg"))
data <- reactiveVal(data.frame(car = c("Opel", "Nissan", "Opel", "VW"),
location = c("Ruesselsheim", "Frankreich", "Ruesselsheim", "Wolfsburg")))
output$hot <- renderRHandsontable({
rhandsontable(data(), useTypes = FALSE, selectCallback = TRUE)
})
observeEvent(input$hot, {
data(merge(LUT_DF, hot_to_r(input$hot)[1], by = "car"))
}, ignoreInit = TRUE)
}
shinyApp(ui = ui, server = server)
So, I have attached what my data looks like. I have all of the variables in 1 column and their values for a specific date and state in another column.
I want my users to be able to click on the graph and it take them to the corresponding data. You can do this in Javascript, but I am using Shiny, so my project is in R. So, I made the proper changes, using this and this as an examples, and this as a guide. Instead of using location.href like I would in Javascript, I used browseURL. When I use browseURL, it fires as soon as the page opens up instead of firing when I click the line graph. Is there a way to restrict browseURL so that it only fires when clicked?
library(shiny)
library(highcharter)
library(dplyr)
data <- read.csv("data/daily states.csv")
ui <- fluidPage(
titlePanel("Timeline"),
sidebarLayout(
sidebarPanel(
h2("Actions", align="center"),
fluidRow(
column(5,
selectizeInput("state",
h3("State:"),
c("All",
unique(data$state))))
),
fluidRow(
column(5,
selectInput("outcome",
h3("Outcome:"),
c("All",
unique(data$variable))))
),
fluidRow(
column(5,
dateRangeInput("date",
h3("Date range"),
min = "2020-01-22",
start = "2020-01-22",
end = as.character(Sys.Date())))
),
fluidRow(
column(5,
checkboxInput("federal",
"Show federal level",
value = TRUE))
)
),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Plot", highchartOutput("hcontainer")),
tabPanel("Table", DT::dataTableOutput("table"))),
)
)
)
server <- function(input, output, session){
newData <- reactive({
if (input$state != "All"){
data <- filter(data, state == input$state)
}
if (input$outcome != "All"){
data <- filter(data, variable == input$outcome)
}
data
})
output$table <- DT::renderDataTable(DT::datatable({
newData()
}))
output$hcontainer <- renderHighchart({
hc <- highchart(type = "chart") %>%
hc_xAxis(categories = unique(newData()$date)) %>%
hc_plotOptions(series = list(
allowPointSelect = TRUE,
cursor = "pointer",
point = list(
events = list(
click = browseURL(paste('https://covidtracking.com/data/state/',input$state,'/#historical', sep = ""))
)
)
)
) %>%
hc_add_series(name = (paste(input$state,input$outcome)), data = newData()$value)
hc
})
}
shinyApp(ui = ui, server = server)
I am trying to work on an R shiny app where I want to show a consolidated table on top and when the user hovers on any line item it would show the detailed section of that table.So here's the code for the first table
library(ggplot2)
ui <- fluidPage(
titlePanel("Basic DataTable"),
# Create a new row for the table.
DT::dataTableOutput("table")
)
server <- function(input, output) {
data <- mpg
data <-data %>% group_by(manufacturer,year) %>%
summarise(cty = round(mean(cty),2),hwy = round(2,mean(hwy)))
# Filter data based on selections
output$table <- DT::renderDataTable(DT::datatable({
data
}))
}
shinyApp(ui,server)
Now when the user hovers on Audi for example it should show a detailed version just forAudi something like this in a table below.Can this be done in shiny with DT on hover or click.
Here is a way. If you prefer to display the child table on click rather than on hover, replace "table.on('mouseover', 'td', function(){" with "table.on('click', 'td', function(){".
library(shiny)
library(DT)
data(mpg, package = "ggplot2")
callback <- c(
"table.on('mouseover', 'td', function(){",
" var index = table.cell(this).index();",
" Shiny.setInputValue('cell', index, {priority: 'event'});",
"});"
)
ui <- fluidPage(
br(),
DTOutput("tbl")
)
server <- function(input, output, session){
dat <- mpg
output[["tbl"]] <- renderDT({
datatable(
dat,
callback = JS(callback)
)
})
filteredData <- eventReactive(input[["cell"]], {
i <- input[["cell"]]$row + 1
j <- input[["cell"]]$column
if(j > 0){
dat[dat[[j]] == dat[i,j], , drop = FALSE]
}else{
NULL
}
})
output[["tblfiltered"]] <- renderDT({
datatable(
filteredData(),
fillContainer = TRUE,
options = list(
pageLength = 5
)
)
})
observeEvent(filteredData(), {
showModal(
modalDialog(
DTOutput("tblfiltered"),
size = "l",
easyClose = TRUE
)
)
})
}
shinyApp(ui, server)
This is a question building on top of the discussion on links between tabs in shiny. This solution is just what I need, however my side panel does not change when the table is clicked on.
So my question is how can I make the side panel change too when clicking on the link in the table?
Here is some replicable code:
library(shiny)
library(DT)
server <- function(input, output) {
output$iris_type <- DT::renderDataTable({
datatable(data.frame(Species=paste0("<a href='#filtered_data'",
"alt='",unique(iris$Species),"'",
"onclick=\"",
"tabs = $('.tabbable .nav.nav-tabs li');",
"tabs.each(function() {",
"$(this).removeClass('active')",
"});",
"$(tabs[1]).addClass('active');",
"tabsContents = $('.tabbable .tab-content .tab-pane');",
"tabsContents.each(function() {",
"$(this).removeClass('active')",
"});",
"$(tabsContents[1]).addClass('active');",
"$('#filtered_data').trigger('change').trigger('shown');",
"Shiny.onInputChange('species', getAttribute('alt'));",
"\">",
unique(iris$Species),
"</a>")),
escape = FALSE)
})
output$filtered_data <- DT::renderDataTable({
if(is.null(input$species)){
datatable(iris)
}else{
datatable(iris[iris$Species %in% input$species, ])
}
})
}
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
conditionalPanel(
'input.dataset === "Iris Type"',
helpText("This is the full Iris panel")
),
conditionalPanel(
'input.dataset === "Filtered Data"',
helpText("This is the filtered panel")
),
width = 2
),
mainPanel(
tabsetPanel(
id = 'dataset',
tabPanel("Iris Type", DT::dataTableOutput("iris_type")),
tabPanel("Filtered Data", DT::dataTableOutput("filtered_data"))
)
))
)
shinyApp(ui = ui, server = server)
If I understood your question correct, I guess you can just add "Shiny.onInputChange('dataset', 'Filtered Data');", to your javascript.
Full code:
library(shiny)
library(DT)
server <- function(input, output) {
output$iris_type <- DT::renderDataTable({
datatable(data.frame(Species=paste0("<a href='#filtered_data'",
"alt='",unique(iris$Species),"'",
"onclick=\"",
"tabs = $('.tabbable .nav.nav-tabs li');",
"tabs.each(function() {",
"$(this).removeClass('active')",
"});",
"$(tabs[1]).addClass('active');",
"tabsContents = $('.tabbable .tab-content .tab-pane');",
"tabsContents.each(function() {",
"$(this).removeClass('active')",
"});",
"$(tabsContents[1]).addClass('active');",
"$('#filtered_data').trigger('change').trigger('shown');",
"Shiny.onInputChange('species', getAttribute('alt'));",
"Shiny.onInputChange('dataset', 'Filtered Data');",
"\">",
unique(iris$Species),
"</a>")),
escape = FALSE)
})
output$filtered_data <- DT::renderDataTable({
if(is.null(input$species)){
datatable(iris)
}else{
datatable(iris[iris$Species %in% input$species, ])
}
})
}
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
conditionalPanel(
'input.dataset === "Iris Type"',
helpText("This is the full Iris panel")
),
conditionalPanel(
'input.dataset === "Filtered Data"',
helpText("This is the filtered panel")
),
width = 2
),
mainPanel(
tabsetPanel(
id = 'dataset',
tabPanel("Iris Type", DT::dataTableOutput("iris_type")),
tabPanel("Filtered Data", DT::dataTableOutput("filtered_data"))
)
))
)
shinyApp(ui = ui, server = server)
Can any one give me a solution to the following issue where the drop down goes under the plotly hover when going to select the fist item in the drop down.
I used the following code. But didn't work.
in UI,
fluidRow(
tags$hr(style="z-index: 10000;"),
column(width = 3,h2("Device Type")),
column(width = 3,htmlOutput("disselect")),
column(width = 3,htmlOutput("cityeselect")),
column(width = 3,h2("Property Type"))
),
in server
output$disselect <- renderUI({
selectInput("district", "District", c("All",unique(bookings$District)), selected = "All")
})
Any hacks?
Set the z-index of the drop-down so that it's greater than that of the plotly modebar, for instance 1002 would work:
column(width = 3, offset = 9,
selectInput("y", "y", colnames(mtcars)),style="z-index:1002;")
A working example:
library(shiny)
library(plotly)
ui <- fluidPage(
fluidRow(
column(width = 3, offset = 9,
selectInput("y", "y", colnames(mtcars)),style="z-index:1002;")
),
fluidRow(plotlyOutput("plot"))
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
g <- ggplot(mtcars, aes_string("disp", input$y)) +
geom_point()
g <- ggplotly(g) %>%
config(displayModeBar = TRUE)
g
})
}
shinyApp(ui, server)
If you don't need the plotly modebar, you can just remove it.
Here's an example:
library(shiny)
library(plotly)
ui <- fluidPage(
fluidRow(
column(width = 3, offset = 9,
selectInput("y", "y", colnames(mtcars)))
),
fluidRow(plotlyOutput("plot"))
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
g <- ggplot(mtcars, aes_string("disp", input$y)) +
geom_point()
### code to hide the modebar ###
g <- ggplotly(g) %>%
config(displayModeBar = FALSE)
g
})
}
shinyApp(ui, server)