Is there a way to make sure either of the action buttons are pressed, the event should trigger. In the below example, the output is to be printed when either of the buttons pressed
library(shiny)
ui <- fluidPage(
actionButton("act1", "Action1"),
actionButton("act2", "Action2"),
htmlOutput("gh")
)
server <- function(input, output, session) {
observeEvent((input$act1 | input$act2),{
output$gh <- renderUI({
"Clicked"
})
})
}
shinyApp(ui, server)
Yes, observeEvent has other arguments such as ignoreInit, just set it to TRUE
library(shiny)
ui <- fluidPage(
actionButton("act1", "Action1"),
actionButton("act2", "Action2"),
htmlOutput("gh")
)
server <- function(input, output, session) {
observeEvent((input$act1 | input$act2),{
output$gh <- renderUI({
"Clicked"
})
},ignoreInit = TRUE)
}
shinyApp(ui, server)
Related
I'm learning Shiny modules. And I'm stuck in a very silly thing: I don't know how to call an input inside moduleServer. In this reprex, the table does not show, I think its because the getInput argument is not properly used in the server. Here's a reprex:
library(shiny)
library(DT)
tablaResumen <- function(id, getInput, tabla1, tabla2) {
moduleServer(id, function(input, output, session) {
output$table <- renderDT({
if(getInput == FALSE){
tabla <- tabla1
}else{
tabla <- tabla2
}
DT::datatable(tabla, escape = FALSE, rownames = FALSE)
})
})
}
ui <- fluidPage(
checkboxInput("input1", label = "Change table"),
DTOutput("table1")
)
server <- function(input, output, session) {
tablaResumen("table1", input$input1, mtcars, iris)
}
shinyApp(ui, server)
library(shiny)
library(DT)
tablaResumen <- function(id, parent_in, get, tabla1, tabla2) {
moduleServer(id, function(input, output, session) {
output$mytable <- renderDT({
if(parent_in[[get]] == FALSE){
tabla <- tabla1
}else{
tabla <- tabla2
}
DT::datatable(tabla, escape = FALSE, rownames = FALSE)
})
})
}
tablaResumenUI <- function(id) {
ns <- NS(id)
DTOutput(ns("mytable"))
}
ui <- fluidPage(
checkboxInput("input1", label = "Change table"),
tablaResumenUI("table")
)
server <- function(input, output, session) {
tablaResumen("table", parent_in = input, "input1", mtcars, iris)
}
shinyApp(ui, server)
Things are a little tricky here.
To render the table, you must put the DTOutput under the same namespace as your mod server. The way we usually do it is by creating a mod UI function and use NS to wrap the id to create the namespace.
You module is depend on a reactive input value input$input1, but the server function itself is not reactive. This means if you provide it as an argument for the mod function, it will be run only one time, so getInput will never be changed after the app is initialized. It becomes a fixed value. To get the reactive value of input1, you need to provide the parent input as an argument as access from there.
Is there a way to add a icon next to "Country" and when the user hover on it, it should show some text
library(shiny)
ui <- fluidPage(
selectInput("Sel","Sel",choices = 1:100),
htmlOutput("Sd")
)
server <- function(input, output, session) {
output$Sd <- renderUI({
"Country"
})
}
shinyApp(ui, server)
library(shiny)
library(shinyBS)
ui <- fluidPage(
selectInput("Sel","Sel",choices = 1:100),
htmlOutput("Sd")
)
server <- function(input, output, session) {
output$Sd <- renderUI({
tags$span(
"Country ",
tipify(
icon("bar-chart"),
"Hello, I am the tooltip!"
)
)
})
}
shinyApp(ui, server)
With a bit of HTML and CSS
Then you can use CSS to customize the hovering text
library(shiny)
ui <- fluidPage(
# Add CSS
tags$head(
tags$style(HTML("
#an_icon .text {
position:relative;
bottom:30px;
left:0px;
visibility:hidden;
}
#an_icon:hover .text {
visibility:visible;
}
"))
),
selectInput("Sel","Sel",choices = 1:100),
htmlOutput("Sd"),
# HTML for the icon
tags$div(id = 'an_icon',
icon("bar-chart"),
tags$span(class = "text", tags$p("text")))
)
server <- function(input, output, session) {
output$Sd <- renderUI({
"Country"
})
}
shinyApp(ui, server)
I am trying now since days to get my Shiny App working so that when I move my mouse to certain points in the plot they are displayed in a table but unfortunately it is not working.
I am not sure what I am doing wrong, can you help me?
border <- table$A < 0.03
ui <- fluidPage(
mainPanel(
plotOutput("Plot",click="plot_click"),
tableOutput("HitSpots")
)
)
server <- function(input, output){
output$Plot <- renderPlot({
ggplot(table,aes(x=table$A, y=table$B), colour=border)) +
geom_point()
})
hit <- reactive({
nearPoints(table, input$plot_click)
})
output$HitSpots <- renderTable({
hit()
}
}
shinyApp(ui = ui, server = server)
There are some problems with your parentheses. But the main problem is that you do ggplot(table, aes(x=table$A, y=table$B)), and then nearpoints is looking for columns named table$A and table$B. Do ggplot(table, aes(x=A, y=B)) instead.
library(shiny)
library(ggplot2)
table <- data.frame(
A = c(1,2,3),
B = c(3,2,1)
)
ui <- fluidPage(
mainPanel(
plotOutput("Plot", click="plot_click"),
tableOutput("HitSpots")
)
)
server <- function(input, output){
output$Plot <- renderPlot({
ggplot(table, aes(x=A, y=B)) + geom_point()
})
hit <- reactive({ nearPoints(table, input$plot_click) })
output$HitSpots <- renderTable({
hit()
})
}
shinyApp(ui = ui, server = server)
I would like to add a checkbox (input$autorefresh) in my shiny application to control where my data input is auto updated (=reactive()) at every change, or whether it is only updated when a button (=input$refresh) is pushed. The idea is described in the following code, which I however didn't expect to work. I could use reactive() together with a conditional isolate(), but since I have many inputs, that is not very elegant. Any ideas?
if (input$autorefresh==TRUE){
dataInput <- reactive({
dosomething
})
} else {
dataInput <- eventReactive(input$refresh,{
dosomething
})
}
Are you looking for something like this?
library(shiny)
ui <- fluidPage(
checkboxInput("autorefresh","autorefresh", F),
actionButton("refresh","refresh"),
mainPanel(plotOutput("plot"))
)
autoInvalidate <- reactiveTimer(1000)
server <- function(input, output, session) {
data <- reactive({
input$refresh
data <- plot(rnorm(100),type="l",col="red")
if(input$autorefresh){
autoInvalidate()
return(data)
}
return(data)
})
output$plot <- renderPlot({
data()
})
}
runApp(shinyApp(ui = ui, server = server))
im trying to invoke js across different tabs in shiny like the code below
library(shiny)
library(shinyjs)
ui <- tagList(
useShinyjs(),
navbarPage(
"shinyjs with navbarPage",
tabPanel("tab1",
actionLink(inputId = 'link',label = 'Fast Forward')
),
tabPanel("tab2",
actionButton("button", "Click me"),
textInput(inputId = "hello", label='',value = "Hello!")
)
)
)
server <- function(input, output, session) {
observeEvent(input$link, {
runjs('$("#link").click();')
})
observeEvent(input$button,{
toggle("hello")
})
}
shinyApp(ui, server)
the command is not going through, what could be the problem?
Try with this modified server part:
server <- function(input, output, session) {
observeEvent(input$link, {
runjs("$('a[data-value=\"tab2\"]').tab('show');")
})
observeEvent(input$button,{
toggle("hello")
})
}
i found the mistake.
i wrote
runjs('$("#link").click();')
instead of
runjs('$("#button").click();')