how to automatically scale uiOutput() when sidebar collapses in Shiny - r

I have a toggle switch which collapses the sidebar panel; however, when I do that, the datatable in uiOutput() doesn't stretch accordingly. I don't know what argument I am missing.
I have changed the renderDatatable() arguments but nothing changed. Also, if possible, how can I change the render so that the datatable takes entire whitespace regardless of sidebard being collapsed?
library(shiny)
library(shinythemes)
library(shinyjs)
library(shinyWidgets)
#ui.r
ui <- fluidPage(
theme=shinytheme("flatly") ,
useShinyjs(),
dropdownButton(
tags$h3("Toggle"),
materialSwitch(inputId = "toggleSidebar",label = "Hide Table? ",
value = TRUE, status = "success"),
circle = TRUE, status = "info",
icon = icon("gear"), width = "300px",
tooltip = tooltipOptions(title = "Choose for more options!")
),
# Sidebar layout with input and output definitions
sidebarLayout(
div( id ="Sidebar",
# Sidebar panel for inputs
sidebarPanel(
uiOutput("rad")
)),
# Main panel for displaying outputs
mainPanel(
uiOutput("tabers")
)
)
)
#server.r
server <- function(input, output) {
data_sets <- list(NULL, iris, mtcars, ToothGrowth)
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
})
output$rad<-renderUI({
radioButtons("radio", label = "",
choices = list("Navigation" = 1, "Iris" = 2, "Mtcars" = 3,"ToothGrowth" = 4),
selected = character(0))
})
output$tabers<- renderUI({
if(is.null(input$radio)) {
tabsetPanel(
id="tabC",
type = "tabs",
tabPanel("Welcome!")
)
}
else if(input$radio==1){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Navigation...")
)
}
else if(input$radio==2){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Data", DT::renderDataTable({ data_sets[[as.integer(input$radio)]]}, filter = 'top',
options = list(scrollX = TRUE, lengthChange = TRUE, widthChange= TRUE))),
tabPanel("Summary",renderPrint({ summary(data_sets[[as.integer(input$radio)]]) }) ),
tabPanel("etc.")
)
}
else if(input$radio==3){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Data", DT::renderDataTable({ data_sets[[as.integer(input$radio)]]}, filter = 'top',
options = list(scrollX = TRUE, lengthChange = TRUE, widthChange= TRUE))),
#tabPanel("Plot" ),
tabPanel("etc.")
)
}
else if(input$radio==4){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Navigation", DT::renderDataTable({ data_sets[[as.integer(input$radio)]]}, filter = 'top',
options = list(scrollX = TRUE, lengthChange = TRUE, widthChange= TRUE))),
tabPanel("Summary",renderPrint({ summary(data_sets[[as.integer(input$radio)]]) }) ),
tabPanel("etc.")
)
}
# Left last else in here but should not get called as is
else{
tabsetPanel(
id="tabC",
type = "tabs",
tabPanel("Global"),
tabPanel("Performance" )
)
}
})
}
shinyApp(ui, server)
I was wondering if I can get some assistance with that, please!

Since you are using shinyjs, it can easily be:
library(shiny)
library(shinyjs)
library(shinyWidgets)
#ui.r
ui <- fluidPage(
useShinyjs(),
dropdownButton(
tags$h3("Toggle"),
materialSwitch(inputId = "toggleSidebar",label = "Hide Table? ",
value = TRUE, status = "success"),
circle = TRUE, status = "info",
icon = icon("gear"), width = "300px",
tooltip = tooltipOptions(title = "Choose for more options!")
),
# Sidebar layout with input and output definitions
sidebarLayout(
div( id ="Sidebar",
# Sidebar panel for inputs
sidebarPanel(
uiOutput("rad")
)),
# Main panel for displaying outputs
mainPanel(
id = "main_panel",
uiOutput("tabers")
)
)
)
#server.r
server <- function(input, output) {
data_sets <- list(NULL, iris, mtcars, ToothGrowth)
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})
output$rad<-renderUI({
radioButtons("radio", label = "",
choices = list("Navigation" = 1, "Iris" = 2, "Mtcars" = 3,"ToothGrowth" = 4),
selected = character(0))
})
output$tabers<- renderUI({
if(is.null(input$radio)) {
tabsetPanel(
id="tabC",
type = "tabs",
tabPanel("Welcome!")
)
}
else if(input$radio==1){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Navigation...")
)
}
else if(input$radio==2){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Data", DT::renderDataTable({ data_sets[[as.integer(input$radio)]]}, filter = 'top',
options = list(scrollX = TRUE, lengthChange = TRUE, widthChange= TRUE))),
tabPanel("Summary",renderPrint({ summary(data_sets[[as.integer(input$radio)]]) }) ),
tabPanel("etc.")
)
}
else if(input$radio==3){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Data", DT::renderDataTable({ data_sets[[as.integer(input$radio)]]}, filter = 'top',
options = list(scrollX = TRUE, lengthChange = TRUE, widthChange= TRUE))),
#tabPanel("Plot" ),
tabPanel("etc.")
)
}
else if(input$radio==4){
tabsetPanel(
id="tabA",
type = "tabs",
tabPanel("Navigation", DT::renderDataTable({ data_sets[[as.integer(input$radio)]]}, filter = 'top',
options = list(scrollX = TRUE, lengthChange = TRUE, widthChange= TRUE))),
tabPanel("Summary",renderPrint({ summary(data_sets[[as.integer(input$radio)]]) }) ),
tabPanel("etc.")
)
}
# Left last else in here but should not get called as is
else{
tabsetPanel(
id="tabC",
type = "tabs",
tabPanel("Global"),
tabPanel("Performance" )
)
}
})
}
shinyApp(ui, server)
I added an ID for the main panel so I can easily select it
mainPanel(
id = "main_panel",
uiOutput("tabers")
)
On server, add some javascript to toggle the same time you hide the sidebar:
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})

Related

Wide datatables causing scrollx to scroll back when applying filters

I am able to render a datatable in my shiny app. However, whenever there is a wide table, the horizontal scroller gets back to it's initial position when you apply filters on the columns in the back. This issue occurs with numeric columns only.
I was wondering if there is a way I can disable range-based filters (but keep the filters itself) or if there is any other workaround for this problem.
I have searched github issues and stackoveflow prior to posting this question here since I couldn't find anybody having this problem.
Here is a reproducible example along with pictures-
options(scipen = 99999) #converts the sci numbers to their regular format
library(shiny)
library(shinyjs)
library(shinyWidgets)
library(shinythemes)
library(writexl)
library(dplyr)
library(DT)
library(dplyr)
mtcars_modified <- mtcars %>% dplyr::mutate(wt_2= wt,
qsec_2 = qsec,
am_2= am,
mpg_2= mpg,
gear_2 = gear,
carb_2 = carb,
disp_2 = disp,
row_names_col= rownames(mtcars))
ui <- fluidPage(
theme = shinythemes::shinytheme("simplex"),
shinyjs::useShinyjs(), # enables javascript/jQuery enhanchments
# Create Right Side Text
navbarPage(
id = "navbar",
title= div(HTML("G<em>T</em>")),
#windowTitle = "GT",
tabPanel("Data Set Info",
materialSwitch(inputId = "toggleSidebar", label = "Toggle Panel: ",
value = TRUE, status = "warning"),
sidebarLayout(
# radio/action buttons
sidebarPanel(
id = "Sidebar",
prettyRadioButtons(
inputId = "controller",
label = "Choose:",
choices = c("About"= 1,
"iris"= 2,
"mtcars_modified" = 3),
icon= icon("check"),
selected = 1,
status = "success",
animation="smooth"
),
br(),
br()
),
#panel where output is shown from server
mainPanel(
id = "main_panel",
tabsetPanel(
id = "hidden_tabs",
type = "hidden",
tabPanelBody(
"panel1", "navigation"
),
tabPanelBody(
"panel2",
tabsetPanel(
tabPanel("Data", DT::DTOutput('panel1_data')),
tabPanel("Summary", verbatimTextOutput("panel1_sum")),
tabPanel(
"Plot"
)
)
),
tabPanelBody(
"panel3",
tabsetPanel(
tabPanel("Data", DT::DTOutput('panel3_data')),
tabPanel("Summary", verbatimTextOutput("panel3_sum")),
tabPanel(
"Plot"
)
)
)
)
)
)
) ,
#resizes the navbar tabs/button
tags$head(tags$style(HTML('.navbar-brand {width: 270px; font-size:35px; text-align:left;
font-family: "serif";')))
)
)
server <- function(input, output, session) {
# this event hides the side panel when toggled on/off
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})
# here we put all the data
data_sets <- list(df1 = data.frame(),
df2= iris,
df3 = mtcars_modified)
# store current dataset in reactive so we can work with plot panels
data_to_use <- reactiveValues(name = "df", data = data.frame())
observeEvent(input$controller, {
# skip first panel since it is used to display navigation
updateTabsetPanel(session, inputId= "hidden_tabs", selected = paste0("panel", input$controller))
# enswure value is avilable throught selected tabSet
req(input$controller)
# get current data and df name
data_to_use$data <- data_sets[[as.numeric(input$controller)]]
data_to_use$name <- names(data_sets[as.numeric(input$controller)])
# update table and sum
output[[paste0('panel', input$controller, '_data')]] <-
DT::renderDT(server = FALSE, {
DT::datatable(data_to_use$data,
filter = 'top',
extensions = 'Buttons',
options = list(scrollY = 600,
scrollX = TRUE,
dom = '<"float-left"l><"float-right"f>rt<"row"<"col-sm-4"B><"col-sm-4"i><"col-sm-4"p>>',
lengthMenu= list(c(10, 25, 50, -1),
c('10', '25', '50','All')),
buttons = list(
list(extend = "collection", text = "Download",
filename = "data_excel",
exportOptions = list(
modifier = list(page = "all")
),
action = DT::JS("function ( e, dt, node, config ) {
Shiny.setInputValue('Download_DATA', true, {priority: 'event'});}"
)
)
),
scrollCollapse= TRUE,
lengthChange = TRUE,
widthChange= TRUE,
rownames = TRUE))})
output[[paste0('panel', input$controller, '_sum')]] <- renderPrint(summary(data_to_use$data))
})
}
#runs the app
shinyApp(ui= ui, server= server)

How to fix filter options not popping up for esquisserUI in Shiny?

I have some requests for my app.
{1} After readjusting the mainPanel, esquisserUI filters are not popping up anymore. Here is the working example which I followed https://dreamrs.github.io/esquisse/articles/shiny-usage.html
In addition, I also looked at this GitHub issue, however it was for disabling the filters: https://github.com/dreamRs/esquisse/issues/71
And final request regarding general information:
{2} what does server = FALSE will do for huge datasets? (https://rstudio.github.io/DT/server.html) DT recommends to leave it as default to TRUE state, however if I do that, I don't get the full data upon download. I only get the data in the current page. Are there problems you foresee?
Thank you, here is a reproducible example.
library(shiny)
library(shinyjs)
library(shinyWidgets)
library(esquisse)
library(shinythemes)
library(xlsx)
library(DT)
# Credit: #Iz100 helped me a lot with UI.
ui <- fluidPage(
theme = shinytheme("simplex"),
useShinyjs(),
# Create Right Side Text
navbarPage(
title= div(HTML("G<em>T</em>")),
tabPanel("Data Set Info",
materialSwitch(inputId = "toggleSidebar", label = "Toggle Panel: ",
value = TRUE, status = "warning"),
sidebarLayout(
# radio/action buttons
sidebarPanel(
id = "Sidebar",
prettyRadioButtons(
inputId = "controller",
label = "Choose:",
choices = c("About"= 1,
"iris"= 2,
"mtcars" = 3),
icon= icon("check"),
selected = 1,
status = "success",
animation="smooth"
),
br(),
br(),
a(actionButton(inputId = "admin_email", label = "Contact Admin",
icon = icon("envelope", lib = "font-awesome")),
href="mailto:my_awesome_email_address.com")
),
#panel where output is shown from server
mainPanel(
id = "main_panel",
tabsetPanel(
id = "hidden_tabs",
type = "hidden",
tabPanelBody(
"panel1", "navigation"
),
tabPanelBody(
"panel2",
tabsetPanel(
tabPanel("Data", DT::DTOutput('panel1_data')),
tabPanel("Summary", verbatimTextOutput("panel1_sum")),
tabPanel(
"Plot",
esquisserUI(
id = "esquisse2",
header = FALSE,
choose_data = FALSE
)
)
)
),
tabPanelBody(
"panel3",
tabsetPanel(
tabPanel("Data", DT::DTOutput('panel3_data')),
tabPanel("Summary", verbatimTextOutput("panel3_sum")),
tabPanel(
"Plot",
esquisserUI(
id = "esquisse3",
header = FALSE,
choose_data = FALSE
)
)
)
)
)
)
)
) ,
#resizes the navbar tabs/button
tags$head(tags$style(HTML('.navbar-brand {width: 270px; font-size:35px; text-align:left;}')))
)
)
server <- function(input, output, session) {
# this event hides the side panel when toggled on/off
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})
myModal <- function() {
div(id = "Download_DATA",
modalDialog(easyClose = TRUE,
title = "Alert!",
"Please remove all the filters if you want a full dataset.",
br(),
br(),
downloadButton("download_excel","Download as XLSX")
)
)
}
# here we put all the data
data_sets <- list(df1 = data.frame(),
df2= iris,
df3 = mtcars)
# store current dataset in reactive so we can work with plot panels
data_to_use <- reactiveValues(name = "df", data = data.frame())
# modules only need to be called it once but individually for esquisse
callModule(
module = esquisserServer,
id = "esquisse2",
data = data_to_use
)
callModule(
module = esquisserServer,
id = "esquisse3",
data = data_to_use
)
observeEvent(input$controller, {
# skip first panel since it is used to display navigation
updateTabsetPanel(session, inputId= "hidden_tabs", selected = paste0("panel", input$controller))
# enswure value is avilable throught selected tabSet
req(input$controller)
# get current data and df name
data_to_use$data <- data_sets[[as.numeric(input$controller)]]
data_to_use$name <- names(data_sets[as.numeric(input$controller)])
# update table and sum
output[[paste0('panel', input$controller, '_data')]] <- DT::renderDT(server = FALSE, {
DT::datatable(data_to_use$data,
filter = 'top',
extensions = 'Buttons',
options = list(scrollY = 600,
scrollX = TRUE,
dom = '<"float-left"l><"float-right"f>rt<"row"<"col-sm-4"B><"col-sm-4"i><"col-sm-4"p>>',
lengthMenu= list(c(10, 25, 50, -1),
c('10', '25', '50','All')),
buttons = list(
list(extend = "collection", text = "Download",
filename = "data_excel",
exportOptions = list(
modifier = list(page = "all")
),
action = DT::JS("function ( e, dt, node, config ) {
Shiny.setInputValue('Download_DATA', true, {priority: 'event'});}"
)
)
),
scrollCollapse= TRUE,
lengthChange = TRUE,
widthChange= TRUE,
rownames = TRUE))})
output[[paste0('panel', input$controller, '_sum')]] <- renderPrint(summary(data_to_use$data))
})
# observes if download is clicked
observeEvent(input$Download_DATA, {
showModal(myModal())
})
# writes to an excel file
output$download_excel <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".xlsx", sep="")
},
content = function(file) {
write.xlsx(data_to_use$data, file, row.names = FALSE)
}
)
}
#runs the app
shinyApp(ui= ui, server= server)
1. I checked the HTML of esquisserUI, they give all dropdowns the same IDs if you use multiple esquisserUI. This is a big NO in HTML development and will cause a lot of issues. They call it a module, but they didn't follow Shiny module guidelines where to use NS() for all UI IDs. The easy proof is try this below. Then uncomment the second set of esquisserUI and esquisserServer and try again. You will find the dropdown no longer works.
library(esquisse)
ui <- fluidPage(
esquisserUI(
id = "esquisse1",
header = FALSE,
choose_data = FALSE
)#,
# esquisserUI(
# id = "esquisse2",
# header = FALSE,
# choose_data = FALSE
# )
)
server <- function(input, output, session) {
data_to_use <- reactiveValues(data = iris, name = "iris")
callModule(
module = esquisserServer,
id = "esquisse1",
data = data_to_use
)
# callModule(
# module = esquisserServer,
# id = "esquisse2",
# data = data_to_use
# )
}
shinyApp(ui, server)
Currently there is no straight fix for this unless you ask them to fix it. We need to use a workaround:
I added a new tab to the main panel called "plot" which is the esquisserUI, and two buttons in the data panel so when you click on the button, it will jump you to the plot panel with the right data.
library(shiny)
library(shinyjs)
library(shinyWidgets)
library(esquisse)
library(shinythemes)
library(xlsx)
library(DT)
# Credit: #Iz100 helped me a lot with UI.
ns <- NS("myapp")
ui <- fluidPage(
theme = shinytheme("simplex"),
useShinyjs(),
# Create Right Side Text
navbarPage(
title= div(HTML("G<em>T</em>")),
tabPanel("Data Set Info",
materialSwitch(inputId = "toggleSidebar", label = "Toggle Panel: ",
value = TRUE, status = "warning"),
sidebarLayout(
# radio/action buttons
sidebarPanel(
id = "Sidebar",
prettyRadioButtons(
inputId = "controller",
label = "Choose:",
choices = c("About"= 1,
"iris"= 2,
"mtcars" = 3,
"plots" = 4),
icon= icon("check"),
selected = 1,
status = "success",
animation="smooth"
),
br(),
br(),
a(actionButton(inputId = "admin_email", label = "Contact Admin",
icon = icon("envelope", lib = "font-awesome")),
href="mailto:my_awesome_email_address.com")
),
#panel where output is shown from server
mainPanel(
id = "main_panel",
tabsetPanel(
id = "hidden_tabs",
type = "hidden",
tabPanelBody(
"panel1", "navigation"
),
tabPanelBody(
"panel2",
tabsetPanel(
tabPanel(
"Data", DT::DTOutput('panel2_data'),
actionButton("plot2", "Plot iris")
),
tabPanel("Summary", verbatimTextOutput("panel2_sum"))
)
),
tabPanelBody(
"panel3",
tabsetPanel(
tabPanel(
"Data", DT::DTOutput('panel3_data'),
actionButton("plot3", "Plot mtcars")
),
tabPanel("Summary", verbatimTextOutput("panel3_sum"))
)
),
tabPanelBody(
"panel4",
esquisserUI(
id = "esquisse",
header = FALSE,
choose_data = FALSE
)
)
)
)
)
),
#resizes the navbar tabs/button
tags$head(tags$style(HTML('.navbar-brand {width: 270px; font-size:35px; text-align:left;}')))
)
)
server <- function(input, output, session) {
# this event hides the side panel when toggled on/off
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})
myModal <- function() {
div(id = "Download_DATA",
modalDialog(easyClose = TRUE,
title = "Alert!",
"Please remove all the filters if you want a full dataset.",
br(),
br(),
downloadButton("download_excel","Download as XLSX")
)
)
}
# here we put all the data
data_sets <- list(df1 = data.frame(),
df2= iris,
df3 = mtcars)
# store current dataset in reactive so we can work with plot panels
data_to_use <- reactiveValues(name = "df", data = data.frame())
# modules only need to be called it once but individually for esquisse
callModule(
module = esquisserServer,
id = "esquisse",
data = data_to_use
)
# go to plot panel if plot button clicked
observeEvent(c(input$plot2, input$plot3), {
updatePrettyRadioButtons(session, "controller", selected = 4)
}, ignoreInit = TRUE)
observeEvent(input$controller, {
# skip first panel since it is used to display navigation
updateTabsetPanel(session, inputId= "hidden_tabs", selected = paste0("panel", input$controller))
# enswure value is avilable throught selected tabSet
# only render data if data panels are selected
req(input$controller %in% 2:3)
# get current data and df name
data_to_use$data <- data_sets[[as.numeric(input$controller)]]
data_to_use$name <- names(data_sets[as.numeric(input$controller)])
# update table and sum
output[[paste0('panel', input$controller, '_data')]] <- DT::renderDT(server = FALSE, {
DT::datatable(data_to_use$data,
filter = 'top',
extensions = 'Buttons',
options = list(scrollY = 600,
scrollX = TRUE,
dom = '<"float-left"l><"float-right"f>rt<"row"<"col-sm-4"B><"col-sm-4"i><"col-sm-4"p>>',
lengthMenu= list(c(10, 25, 50, -1),
c('10', '25', '50','All')),
buttons = list(
list(extend = "collection", text = "Download",
filename = "data_excel",
exportOptions = list(
modifier = list(page = "all")
),
action = DT::JS("function ( e, dt, node, config ) {
Shiny.setInputValue('Download_DATA', true, {priority: 'event'});}"
)
)
),
scrollCollapse= TRUE,
lengthChange = TRUE,
widthChange= TRUE,
rownames = TRUE))})
output[[paste0('panel', input$controller, '_sum')]] <- renderPrint(summary(data_to_use$data))
})
# observes if download is clicked
observeEvent(input$Download_DATA, {
showModal(myModal())
})
# writes to an excel file
output$download_excel <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".xlsx", sep="")
},
content = function(file) {
write.xlsx(data_to_use$data, file, row.names = FALSE)
}
)
}
#runs the app
shinyApp(ui= ui, server= server)
2. So server = TRUE only sends a very small portion of the entire dataset to UI for large ones. When you scroll or jump pages, new data will be sent. This saves time and has better performance. If it is FALSE, all data will be sent at once. Imagine you need to load a 2GB table in your browser everytime you start the app, how slow will it be. For small datasets, you can leave it FALSE.
Updates
It seems esquisse people fixed the bug. Install the develop version and then:
ui <- fluidPage(
esquisse_ui(
id = "esquisse1",
header = FALSE
),
esquisse_ui(
id = "esquisse2",
header = FALSE
)
)
server <- function(input, output, session) {
data_to_use <- reactiveValues(data = iris, name = "iris")
esquisse_server(id = "esquisse1", data_rv = data_to_use)
esquisse_server(id = "esquisse2", data_rv = data_to_use)
}
shinyApp(ui, server)

Reactively updating sidebar in modular Shiny app

I have a modularized Golem app using bs4Dash. I want to update the active sidebar tab from an actionBttn that is dynamically generated from renderUI. While updatebs4ControlbarMenu works as expected as shown here, it does not work in the modularized version of the application. What am I doing wrong? I suspect it is related to input[[btnID]] management across modules but I struggle to find the solution.
Working example without modules as shown here:
library(shiny)
library(shinyWidgets)
library(bs4Dash)
library(tidyverse)
shinyApp(
ui = bs4DashPage(
sidebar_collapsed = FALSE,
controlbar_collapsed = TRUE,
enable_preloader = FALSE,
navbar = bs4DashNavbar(skin = "dark"),
sidebar = bs4DashSidebar(
inputId = "sidebarState",
bs4SidebarMenu(
id = "sidebr",
bs4SidebarMenuItem(
"Tab 1",
tabName = "tab1"
),
bs4SidebarMenuItem(
"Tab 2",
tabName = "tab2"
)
)
),
bs4DashBody(
bs4TabItems(
bs4TabItem(
tabName = "tab1",
h1("Welcome!"),
fluidRow(
pickerInput(
inputId = "car",
label = "Car",
choices = row.names(mtcars),
selected = head(row.names(mtcars), 3),
multiple = TRUE,
options = list(
`actions-box` = TRUE)
),
pickerInput(
inputId = "gear",
label = "Gear",
choices = unique(mtcars$gear),
selected = unique(mtcars$gear),
multiple = TRUE,
options = list(
`actions-box` = TRUE)
)
),
fluidRow(
column(6,
uiOutput("uiboxes")
)
)
),
bs4TabItem(
tabName = "tab2",
h4("Yuhuuu! You've been directed automatically in Tab 2!")
)
)
)
),
server = function(input, output, session) {
submtcars <- reactive({
req(input$car, input$gear)
mtcars %>%
mutate(
carnames = rownames(mtcars)) %>%
filter(
carnames %in% input$car &
gear %in% input$gear
)
})
observeEvent( submtcars(), {
n_ex <- nrow(submtcars())
output$uiboxes <- renderUI({
lapply(1:n_ex, FUN = function(j) {
print(paste("j is ", j))
bs4Box(
title = submtcars()$carnames[j],
width = 12,
str_c("Number of gears:", submtcars()$gear[j]),
btnID <- paste0("btnID", j),
print(btnID),
fluidRow(
column(
2,
actionBttn(
inputId = btnID,
icon("search-plus")
)
)
)
)
})
})
lapply(1:n_ex, function(j) {
btnID <- paste0("btnID", j)
observeEvent(input[[btnID]] , {
updatebs4ControlbarMenu(
session,
inputId = "sidebr",
selected = "tab2"
)
})
})
})
}
)
Modularized attempt not working:
library(shiny)
library(shinyWidgets)
library(bs4Dash)
library(tidyverse)
mod_exlib_ui <- function(id){
ns <- NS(id)
tagList(
fluidRow(
pickerInput(
inputId = ns("car"),
label = "Car",
choices = row.names(mtcars),
selected = head(row.names(mtcars), 3),
multiple = TRUE,
options = list(
`actions-box` = TRUE)
),
pickerInput(
inputId = ns("gear"),
label = "Gear",
choices = unique(mtcars$gear),
selected = unique(mtcars$gear),
multiple = TRUE,
options = list(
`actions-box` = TRUE)
)
),
fluidRow(
column(6,
uiOutput(ns("uiboxes"))
)
)
)
}
mod_exlib_server <- function(id){
moduleServer( id, function(input, output, session){
ns <- session$ns
submtcars <- reactive({
# req(input$car, input$gear)
mtcars %>%
dplyr::mutate(
carnames = rownames(mtcars)) %>%
dplyr::filter(
carnames %in% input$car &
gear %in% input$gear
)
})
observeEvent( submtcars(), {
n_ex <- nrow(submtcars())
output$uiboxes <- renderUI({
lapply(1:n_ex, FUN = function(j) {
print(paste("j is ", j))
bs4Box(
title = submtcars()$carnames[j],
width = 12,
paste("Number of gears: ", submtcars()$gear[j]),
btnID <- paste0("btnID", j),
print(btnID),
fluidRow(
column(
2,
actionBttn(
inputId = ns(btnID),
icon("search-plus")
)
)
)
)
})
})
lapply(1:n_ex, function(j) {
btnID <- paste0("btnID", j)
observeEvent(input[[btnID]] , {
print(btnID)
updatebs4ControlbarMenu(
session,
inputId = "sidebr",
selected = "exdet2"
)
})
})
})
})
}
app_ui <- tagList(
bs4DashPage(
navbar = bs4DashNavbar(),
sidebar = bs4DashSidebar(
expand_on_hover = TRUE,
inputId = "sidebarState",
bs4SidebarMenu(
id = "sidebr",
bs4SidebarMenuItem(
"Tab 1",
tabName = "tab1"
),
bs4SidebarMenuItem(
"Tab 2",
tabName = "tab2"
)
)
),
bs4DashBody(
bs4TabItems(
bs4TabItem(
tabName = "tab1",
h1("Welcome!"),
mod_exlib_ui("exlib_ui_1")
),
bs4TabItem(
tabName = "tab2",
h4("Yuhuuu! You've been directed automatically in Tab 2!")
)
)
)
)
)
app_server <- function( input, output, session ) {
# Your application server logic
mod_exlib_server("exlib_ui_1")
}
shinyApp(
ui = app_ui,
server = app_server)
After exploring the example of function updatebs4TabSetPanel() that is in the same family, it seems that the selected value needs to be a number.
Hence, you can use this code with CRAN version 0.5.0:
updatebs4ControlbarMenu(
session,
inputId = "sidebr",
selected = "2" #"exdet2"
)

Hide and clear selectInput

I need to show\hide input and will be great get NULL or empty string if the input not exists, here reproducible example:
ui <-
dashboardPage(
dashboardHeader(
title = 'Test'),
dashboardSidebar(),
dashboardBody(
selectInput(
inputId = 'mainInput',
label = 'Main input',
selected = 'Show',
choices = c('Show', 'Hide')
),
uiOutput(
outputId = 'secondInputUI'
),
actionButton(
inputId = 'thirdInput',
label = 'Check value'
)
)
)
server <- function(input, output, session){
observeEvent(input$mainInput, ignoreNULL = TRUE, {
if (input$mainInput == 'Show')
output$secondInputUI <-
renderUI(
selectInput(
inputId = 'secondInput',
label = 'Second input',
selected = 0,
multiple = FALSE,
choices = c(1, 0)
)
)
else {
output$secondInputUI <-
renderUI(
selectInput(
inputId = 'secondInput',
label = 'Second input',
selected = '',
multiple = TRUE,
choices = c(1, 0)
)
)
# If uncommit - input value don't update and will return latest available before delete input
# output$secondInputUI <-
# NULL
}
})
observeEvent(input$thirdInput, {
showNotification(
session = session,
ui = paste(input$secondInput, collapse = ', '))
})
}
shinyApp(
ui = ui,
server = server)
You can see commented part with setting NULL to uioutput, if it active - shiny return latest available value before clear that ui, so how to deal with that?
I think I understand. You could create a reactive variable that is independent of the UI, because inputs are not updated when the UI element is removed.
library(shiny)
library(shinydashboard)
ui <-
dashboardPage(
dashboardHeader(
title = 'Test'),
dashboardSidebar(),
dashboardBody(
selectInput(
inputId = 'mainInput',
label = 'Main input',
selected = 'Show',
choices = c('Show', 'Hide')
),
uiOutput(
outputId = 'secondInputUI'
),
actionButton(
inputId = 'thirdInput',
label = 'Check value'
)
)
)
server <- function(input, output, session){
secondInputVar <- reactive({
if(input$mainInput == 'Show'){
input$secondInput
} else {
}
})
observeEvent(input$mainInput, ignoreNULL = TRUE, {
if (input$mainInput == 'Show')
output$secondInputUI <-
renderUI(
selectInput(
inputId = 'secondInput',
label = 'Second input',
selected = 0,
multiple = FALSE,
choices = c(1, 0)
)
)
else {
output$secondInputUI <- renderUI({
NULL
})
}
})
observeEvent(input$thirdInput, {
showNotification(
session = session,
ui = paste(secondInputVar(), collapse = ', '))
})
}
shinyApp(
ui = ui,
server = server)
So, I found another solution, the main idea is: update input value in observer for first input, hide second input from observer for the second input. Will be better if I show:
ui <-
dashboardPage(
dashboardHeader(
title = 'Test'),
dashboardSidebar(),
dashboardBody(
selectInput(
inputId = 'mainInput',
label = 'Main input',
selected = 'Show',
choices = c('Show', 'Hide')
),
uiOutput(
outputId = 'secondInputUI'
),
actionButton(
inputId = 'thirdInput',
label = 'Check value'
)
)
)
server <- function(input, output, session){
observeEvent(input$mainInput, {
if (input$mainInput == 'Show')
output$secondInputUI <-
renderUI(
selectInput(
inputId = 'secondInput',
label = 'Second input',
selected = 0,
multiple = FALSE,
choices = c(1, 0)
)
)
else {
output$secondInputUI <-
renderUI(
selectInput(
inputId = 'secondInput',
label = 'Second input',
selected = '',
multiple = TRUE,
choices = c(1, 0)
)
)
}
})
# THE TRICK HERE ####
observeEvent(input$secondInput, ignoreNULL = FALSE, {
if (input$mainInput != 'Show'){
output$secondInputUI <-
renderUI(NULL)
}
})
observeEvent(input$thirdInput, {
showNotification(
session = session,
ui = paste(input$secondInput, collapse = ', '))
})
}
shinyApp(
ui = ui,
server = server)

Reset tableoutput with action button in shinydashboard

I have an shinydashboard app, the app get an filter box and a tabset which show a datatatable depending on filter.
I have a reset button which reset the filters whith shinyjs::reset function, and I want to reset also the tableset and showing the complete table or nothing.
I want also to do it for a valuboxes.
My app is like this :
For server interface I have an basic : output$tableprint_A <- DT::renderDataRable ({})
ui :
body <- dashboardBody(
tabItems(
#### First tab item #####
tabItem(tabName = "fpc",
fluidRow(
infoBoxOutput("kpm_inf", width = 6),
infoBoxOutput(outputId = "fpc_inf", width = 6)
),
fluidRow(
box(title = "Variables filter",
shinyjs::useShinyjs(),
id = "side_panel",
br(),
background = "light-blue",
solidHeader = TRUE,
width = 2,
selectInput("aaa", "aaa", multiple = T, choices = c("All", as.character(unique(fpc$aaa))))
br(),
br(),
p(class = "text-center", div(style = "display:inline-block", actionButton("go_button", "Search",
icon = icon("arrow-circle-o-right"))),
div(style = "display:inline-block", actionButton("reset_button", "Reset",
icon = icon("repeat")))),
p(class = 'text-center', downloadButton('dl_fpc', 'Download Data'))),
tabBox(
title = tagList(),
id = "tabset1",
width = 10,
tabPanel(
"A \u2030 ",
DT::dataTableOutput("tableprint_A"),
bsModal(id = 'startupModal', title = 'Update message', trigger = '',
size = 'large',
tags$p(tags$h2("Last update of A : 01/09/2017",
br(), br(),
"Last update of B : 01/09/2017",
br(), br(),
"Last update of C : 01/09/2017",
style = "color:green", align = "center")))
),
tabPanel(
"B % Table",
DT::dataTableOutput("tableprint_B")),
type = "pills"
)
),
fluidRow(
# Dynamic valueBoxes
valueBoxOutput("info_gen", width = 6)
)
I tried this :
observeEvent(input$reset_button, {
output$tableprint_A <- NULL
})
Edit:
I want something like that, but when I action the search button I want it to appear again :
shinyjs::onclick("reset_button",
shinyjs::toggle(id = "tableprint_A", anim = TRUE))
You should try this out:
output$tableprint_A <- renderDataTable({
if(input$reset_button == 1) {
NULL
}else{
datatable(...)
}
})
if the button is clicked then nothing will be displayed, else the datatable is shown.
[EDIT]
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(selectInput("select", "select", choices = unique(iris$Species), multiple = T),
actionButton("go_button", "Search",
icon = icon("arrow-circle-o-right")),
actionButton("reset_button", "Reset",
icon = icon("repeat")),
DT::dataTableOutput('tbl')),
server = function(input, output) {
values <- reactiveValues(matrix = NULL)
observe({
if (input$go_button == 0)
return()
values$matrix <- iris[iris$Species %in% input$select, ]
})
observe({
if (input$reset_button == 0)
return()
values$matrix <- NULL
})
output$tbl = DT::renderDataTable({
datatable(values$matrix, options = list(lengthChange = FALSE))}
)
}
)

Resources