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)
I have the following code:
library(shiny)
library(shinydashboard)
library(rhandsontable)
header <- dashboardHeader(title = "Sample", titleWidth = 375)
sidebar <- dashboardSidebar(width = 270,
sidebarMenu(id="mymenu",
menuItem(text = "Home", tabName = "tabCars", icon = icon("home", class="home"))
))
body <- dashboardBody (
tabItems(
tabItem(tabName = "tabCars",
fluidRow(
column(width = 2,
selectInput(
inputId = "selected_CarCylinders",
label = "Car Cylinders",
choices = mtcars$cyl,
selectize = TRUE,
width = "250px",
multiple = FALSE
)),
column(width = 2, style = "margin-top: 25px",
actionButton("deleteBtn", "Delete Selected Cylinders")),
column(width = 1, style = "margin-top: 25px",
actionButton("refreshBtn", "Refresh Filter/Chart")),
rHandsontableOutput("carDT")
)
)
)
)
ui <- dashboardPage(header, sidebar, body)
server <- function(input, output, session) {
output$carDT <- renderRHandsontable({
df <- mtcars
rhandsontable(df, stretchH = "all")
})
observeEvent(input$deleteBtn, {
# need help here
})
observeEvent(input$refreshBtn, {
# need help here
})
}
shinyApp(ui, server)
I need help writing what would go into the input$deleteBtn and input$refreshBtn sections of the server side. If you run the code as is, the idea is to select the number of cylinders from mtcars, then click the Delete button to remove all those entries from the table and filter; however, the filter and table would only update after clicking the refresh button.
While permanently delete screams a SQLite database to me, you could achieve this by using a reactiveVal to store the dataframe and call req to only refresh the table when you click the refreshBtn (in this case, you also have to click it to display the table at the start of the app).
server <- function(input, output, session) {
# Create a `reactiveVal` and set a value to it
df <- reactiveVal()
df(mtcars)
output$carDT <- renderRHandsontable({
req(input$refreshBtn)
rhandsontable(df(), stretchH = "all")
})
observeEvent(input$deleteBtn, {
data <- dplyr::filter(df(), cyl != input$selected_CarCylinders)
# Update `selectInput` to filter out the choices too (for good measure)
updateSelectInput(session, "selected_CarCylinders", choices = data$cyl)
# Update the `reactiveVal` value
df(data)
})
}
I am unable to create a conditional sidebar menu via renderMenu because the if statement fails. "Warning: Error in if: argument is of length zero".
I found conditional RenderUI R shiny and Conditional panel in Shiny dashboard but neither are what I am looking for. A conditional panel might work in this instance but in the long run I will need to be able to do this server side.
if (interactive()) {
library(ggplot2)
library(shiny)
library(shinydashboard)
library(shinipsum)
ui <- dashboardPage(
header = dashboardHeader(),
dashboardSidebar(
sidebarMenuOutput("plotDataVHA"),
sidebarMenuOutput("tabSelector")
),
dashboardBody(tabItems(
tabItem(tabName = "facilities",
fluidRow(box(
uiOutput("selectedFacilityTime")
))),
tabItem(tabName = "service",
fluidRow(box(
uiOutput("selectedFacilityYyCases")
)))
))
)
server <- function(input, output) {
output$renderedSelectedFacilityTime <- renderPlot({
random_ggplot(type = "line")
})
output$selectedFacilityTime <- renderUI({
plotOutput("renderedSelectedFacilityTime")
})
output$renderedFacilityYyCases <- renderPlot({
random_ggplot(type = "bar")
})
output$selectedFacilityYyCases <- renderUI({
plotOutput("renderedFacilityYyCases")
})
output$tabSelector <- renderMenu({
sidebarMenu(id = "test",
menuItem(
text = "Chart data",
menuSubItem(
text = "Facilities",
tabName = "facilities",
selected = TRUE
),
menuSubItem(
text = "Service & Specialty",
tabName = "service",
icon = NULL
)
))
})
output$plotDataVHA <- renderMenu({
if (input$test == "facilities") {
sidebarMenu(
menuItem(
text = "VHA data",
menuSubItem(
text = "None",
selected = TRUE,
icon = NULL
),
menuSubItem(text = "Mean", icon = NULL)
)
)
}
})
}
shinyApp(ui, server)
}
When working properly the menu "VHA data" should only be visible when the submenu "facilities" is selected.
Interesting question. The reason you were getting the argument is of length zero error is because you are rendering both menus on the server side through renderMenu(). So when the app starts, input$test doesn't have a value assigned to it. You can avoid this by using req() which will evaluate the test input$test == "facilities" only after input$test has been initiated.
Now for the menu to only appear when another submenu is selected, you want to create the menu independently of renderMenu(). It is better to evaluate the condition in a normal reactive() and then pass this reactive function as input to renderMenu(). Finally, to remove the menu when input$test == "facilities" is FALSE, you can render an empty html container.
Here is the updated code:
library(ggplot2)
library(shiny)
library(shinydashboard)
library(shinipsum)
ui <- dashboardPage(
header = dashboardHeader(),
dashboardSidebar(
sidebarMenuOutput("plotDataVHA"),
sidebarMenuOutput("tabSelector")
),
dashboardBody(tabItems(
tabItem(tabName = "facilities",
fluidRow(box(
uiOutput("selectedFacilityTime")
))),
tabItem(tabName = "service",
fluidRow(box(
uiOutput("selectedFacilityYyCases")
)))
))
)
server <- function(input, session, output) {
output$renderedSelectedFacilityTime <- renderPlot({
random_ggplot(type = "line")
})
output$selectedFacilityTime <- renderUI({
plotOutput("renderedSelectedFacilityTime")
})
output$renderedFacilityYyCases <- renderPlot({
random_ggplot(type = "bar")
})
output$selectedFacilityYyCases <- renderUI({
plotOutput("renderedFacilityYyCases")
})
output$tabSelector <- renderMenu({
sidebarMenu(id = "test",
menuItem(
text = "Chart data",
menuSubItem(
text = "Facilities",
tabName = "facilities",
selected = TRUE
),
menuSubItem(
text = "Service & Specialty",
tabName = "service",
selected = FALSE,
icon = NULL
)
))
})
make_menu <- reactive({
cat("Current submenu selected: ", input$test, "\n\n")
if (req(input$test) == "facilities") {
sidebarMenu(
menuItem(
text = "VHA data",
menuSubItem(
text = "None",
selected = TRUE,
icon = NULL
),
menuSubItem(text = "Mean", icon = NULL)
)
)
} else {
# return an empty HTML container
div()
}
})
output$plotDataVHA <- renderMenu({
make_menu()
})
}
shinyApp(ui, server)
I am making a shiny app that interacts with a big data.frame that I have stored as an RData file. I want the user to select the file, and once the RData is completely loaded (takes ~15 seconds) a second panel should show up allowing the user to input some sample name and do some operations.
Here is how my app looks now
header <- dashboardHeader(title="Analysis and database")
sidebar <- dashboardSidebar(
useShinyjs(),
sidebarUserPanel(),
hr(),
sidebarMenu(
# Setting id makes input$tabs give the tabName of currently-selected tab
id = "sidebarmenu",
menuItem("Analyse old data by Sample", tabName="oldfile", icon = icon("table"), startExpanded = FALSE),
fileInput(inputId = "file1", "Choose database file"),
conditionalPanel(
#condition = "input.sidebarmenu === 'oldfile'",
condition = "output.fileUploaded == 'true' ",
textInput(inputId = "sample", label ="Type a sample ID"),
actionButton("go2", "Filter")
)
)
)
body <- dashboardBody(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"),
tabItems(
tabItem("oldfile", "Sample name data.table",
fluidRow(DT::dataTableOutput('tabla_oldfile') %>% withSpinner(color="#0dc5c1")))
)
)
ui <- dashboardPage(header, sidebar, body)
### SERVER SIDE
server = function(input, output, session) {
options(shiny.maxRequestSize=100000*1024^2)
prop <- reactive({
if (input$go2 <= 0){
return(NULL)
}
result <- isolate({
if (is.null(input$file1))
return(NULL)
if (is.null(input$sample))
return(NULL)
inFile <- input$file1
print(inFile$datapath)
#big_df <- load(inFile$datapath)
print (big_df)
print(input$sample)
oldtable <- big_df1 %>% filter_at(vars(GATK_Illumina.samples:TVC_Ion.samples),
any_vars(stringi::stri_detect_fixed(., as.character(input$sample))))
oldtable
})
result
})
output$fileUploaded <- reactive({
return(!is.null(prop()))
})
outputOptions(output, 'fileUploaded', suspendWhenHidden=FALSE)
output$tabla_oldfile <- DT::renderDataTable({
DT::datatable(prop(),
filter = 'top',
extensions = 'Buttons',
options = list(
dom = 'Blftip',
buttons =
list('colvis', list(
extend = 'collection',
buttons = list(list(extend='csv',
filename = 'results'),
list(extend='excel',
filename = 'results'),
list(extend='pdf',
filename= 'results')),
text = 'Download'
)),
scrollX = TRUE,
pageLength = 5,
lengthMenu = list(c(5, 15, -1), list('5', '15', 'All'))
), rownames = FALSE
)
})
}
shinyApp(ui, server)
I have used the solution provide in Make conditionalPanel depend on files uploaded with fileInput but I can't make it work, there is another implementation using shinyjs package but don't know how to use it on my example
How can I read parameters of a box element in shinydashboard?
box(..., title = NULL, footer = NULL, status = NULL,
solidHeader = FALSE, background = NULL, width = 6, height = NULL,
collapsible = FALSE, collapsed = FALSE)
In particular, I want to save parameter collapsed so that application does not redraw the box in collapsed state if a user expanded it (or vise versa).
Parameter collapsed returns to the originally set value if the tabs are generated.
Example code is below. Collapsed state is reset after adding a tab by the button.
library(shiny)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(title = "Collapsed Box Example"),
dashboardSidebar(sidebarMenuOutput("menu"),
actionButton("addTab", label = "Add Tab")),
dashboardBody(uiOutput("body"))
)
server <- function(input, output) {
tabsCount <- reactiveVal(2)
#count button clicks
observeEvent(input$addTab, {
newValue <- tabsCount() + 1
tabsCount(newValue)
}
)
output$menu <- renderMenu(sidebarMenu(
do.call(menuItem, c(text = "Tabs", tabName = "tabs", startExpanded = T,
lapply(1:tabsCount(), function(i) {
menuSubItem(text = paste0("Tab ", i),
tabName=paste0("tab",i))
})
))
)
)
output$body <- renderUI({
Tabs <- vector("list", tabsCount())
for(i in 1:tabsCount()) {
tabname <- paste0("tab",i)
Tabs[[i]] <- tabItem(tabName = tabname, uiOutput(tabname))
}
do.call(tabItems, Tabs)
})
observe({
for (i in 1:tabsCount()) {
local({
my_i <- i
tabname <- paste0("tab", my_i)
output[[tabname]] <- renderUI(
box(title = paste("Box", my_i, sep = " "), collapsible = T, collapsed = T)
)
})
}
})
}
shinyApp(ui, server)