I recently asked a similar question (Shiny DT datatable input reactivity after table is reloaded). My issue was getting a selectInput in a DT datatable to work correctly after the table is reloaded. The solution worked, which was to use javascript to unbind before reloading the table. However, that example used a static dataframe. When the input data in the datatable are reactive, it doesn't work. In the example below, when the user clicks "Update data" the first time to load data, the selectInput works correctly and input$id1 responds to the user selection. However, when the user clicks "Update data" again to update the reactive data, the input$id no longer responds to the user selection. I've seen two potential approaches to address the issue. One is using dataTableProxy() and replaceData(), and the other is renaming the selectInput ids each time the reactive data are updated. I was wondering if I can avoid those two approaches and get this example working with minimal changes.
require(shiny)
require(DT)
shinyApp(
ui = fluidPage(
tags$head(tags$script(
HTML(
"Shiny.addCustomMessageHandler('unbindDT', function(id) {
var $table = $('#'+id).find('table');
if($table.length > 0){
Shiny.unbindAll($table.DataTable().table().node());
}
})")
)),
actionButton(inputId = "update", label = "Update data"),
uiOutput("resettable_table")
),
server = function(input, output, session) {
rv <- reactiveValues(
times = 1,
mydata = NULL
)
observeEvent(input$update, {
session$sendCustomMessage("unbindDT", "mytable")
rv$times <- rv$times + 1
rv$mydata <- data.frame(
Col1 = as.character(selectInput(
inputId = "id1",
label = NULL,
choices = paste0(letters, input$update),
selected = paste0(letters, input$update)[1],
))
)
})
output$mytable <- DT::renderDataTable({
req(rv$mydata)
DT::datatable(
data = rv$mydata,
escape = F,
selection = "none",
options = list(
preDrawCallback = JS('function(){Shiny.unbindAll(this.api().table().node());}'),
drawCallback = JS('function(){Shiny.bindAll(this.api().table().node());}')
)
)
}, server = F)
output$resettable_table <- renderUI({
req(rv$times)
div(
id = paste0("mydiv", rv$times),
DT::dataTableOutput("mytable")
)
})
observe({
if(is.null(input$id1)) {
print("input$id1 is NULL")
} else {
print(paste(c("input$id1:", input$id1)))
}
})
}
)
Update
Thanks to #StephaneLaurent for pointing out that the reactive counter keeping track of the number of times the data were reloaded was causing the issue. It wasn't actually necessary to put the DT datatable inside a div with an id that updated each time. Here is working code:
require(shiny)
require(DT)
shinyApp(
ui = fluidPage(
tags$head(tags$script(
HTML(
"Shiny.addCustomMessageHandler('unbindDT', function(id) {
var $table = $('#'+id).find('table');
if($table.length > 0){
Shiny.unbindAll($table.DataTable().table().node());
}
})")
)),
actionButton(inputId = "update", label = "Update data"),
DT::dataTableOutput("mytable")
),
server = function(input, output, session) {
rv <- reactiveValues(mydata = NULL)
observeEvent(input$update, {
session$sendCustomMessage("unbindDT", "mytable")
rv$mydata <- data.frame(
Col1 = as.character(selectInput(
inputId = "id1",
label = NULL,
choices = paste0(letters, input$update),
selected = paste0(letters, input$update)[1],
))
)
})
output$mytable <- DT::renderDataTable({
req(rv$mydata)
DT::datatable(
data = rv$mydata,
escape = F,
selection = "none",
options = list(
preDrawCallback = JS('function(){Shiny.unbindAll(this.api().table().node());}'),
drawCallback = JS('function(){Shiny.bindAll(this.api().table().node());}')
)
)
}, server = F)
observe({
if(is.null(input$id1)) {
print("input$id1 is NULL")
} else {
print(paste(c("input$id1:", input$id1)))
}
})
}
)
The problem is caused by the presence of rv$times in the renderUI. The simplest way to make this app work is to get rid of this renderUI.
However, for fun, and in order to understand what happens, I did the app below which works with the renderUI and which shows what happens. The key point was to remove the id1 element when the table is consecutively rendered two times, before the second rendering. To do so, I use a JavaScript counter i.
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(
tags$head(tags$script(
HTML("var i = 1;")
)),
actionButton(inputId = "update", label = "Update data"),
uiOutput("resettable_table")
),
server = function(input, output, session) {
rv <- reactiveValues(
times = 1,
mydata = NULL
)
observeEvent(input$update, {
rv$times <- rv$times + 1
rv$mydata <- data.frame(
Col1 = as.character(selectInput(
inputId = "id1",
label = NULL,
choices = paste0(letters, input$update),
selected = paste0(letters, input$update)[1],
))
)
})
output$mytable <- DT::renderDataTable({
req(rv$mydata)
DT::datatable(
data = rv$mydata,
escape = F,
selection = "none",
options = list(
initComplete = JS('function(settings) { alert("initComplete - incrementing i"); i++; alert("i = " + i)}'),
preDrawCallback = JS('function() { alert("preDrawCallback triggered - unbinding"); Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = JS('function() { alert("drawCallback triggered - i = " + i); if(i===2) {alert("removing id1 and resetting i to 0"); $("#id1").remove(); i=0;} Shiny.bindAll(this.api().table().node());}')
)
)
}, server = F)
output$resettable_table <- renderUI({
div(
id = paste0("mydiv", rv$times),
tags$p(paste0("mydiv", rv$times)),
DT::dataTableOutput("mytable")
)
})
observe({
if(is.null(input$id1)) {
print("input$id1 is NULL")
} else {
print(paste(c("input$id1:", input$id1)))
}
})
}
)
Related
Default ordering is: Item1, Item2, Item3. If I select a new order and click Update, my selection disappears, but the output table is correct.
How do I preserve my selection so that it shows up like so even after Update is clicked?
library(shiny)
shinyApp(
ui = shinyUI({
fluidPage(
sidebarLayout(
sidebarPanel(uiOutput("selection"),
actionButton('update',"Update")),
mainPanel(
tableOutput('ordered')
)
)
)
}),
server = function(input, output, session) {
values <- reactiveValues(x = c('Item1','Item2','Item3'))
output$selection <- renderUI({
selectizeInput('neworder',
'Select order:',
choices = values$x,
selected = preserve$selection,
multiple = TRUE,
options = list(plugins = list('remove_button', 'drag_drop')))
})
output$ordered <- renderTable(
values$x
)
preserve <- reactiveValues(selection = character())
observeEvent(input$neworder,{
if (!all(preserve$selection %in% input$neworder)) {
preserve$selection = input$neworder
}
})
observeEvent(input$update,{
id <- values$x %in% input$neworder
values$x <- c(input$neworder, values$x[!id])
})
}
)
You can use isolate() to avoid unwanted update:
selectizeInput('neworder',
'Select order:',
choices = isolate(values$x),
selected = preserve$selection,
multiple = TRUE,
options = list(plugins = list('remove_button', 'drag_drop')))
I tried to combine editing table by adding, deleting row in DT table with checkboxInput(). It is not quite correct.
If I didn't add editing feature, it returned correct, but if I added editing feature,it didn't response after I added another row. I got stuck for a while, I will appreciate any help from you guys
library(shiny)
library(shinyjs)
library(DT)
# Tab 2 UI code.
tab2UI <- function(id) {
ns <- NS(id)
tabPanel(
"Tab 2",
fluidRow(
#uiOutput(ns('cars')),
h2('The mtcars data'),
DT::dataTableOutput(ns('mytable2')),
uiOutput(ns("edit_1")),
h2("Selected"),
tableOutput(ns("checked"))
)
)
}
# Tab 2 server code.
tab2Server <- function(input, output, session) {
ns <- session$ns
# Helper function for making checkboxes.
shinyInput = function(FUN, len, id, ...) {
inputs = character(len)
for (i in seq_len(len)) {
inputs[i] = as.character(FUN(ns(paste0(id, i)), label = NULL, ...))
}
inputs
}
# Update table records with selection.
subsetData <- reactive({
sel <- mtcars[1:5,]
})
values <- reactiveValues(df = NULL)
observe({
values$df <- subsetData()
})
# Datatable with checkboxes.
output$mytable2 <- DT::renderDataTable(
datatable(
data.frame(values$df,Favorite=shinyInput(checkboxInput,nrow(values$df), "cbox_", width = 10)),
editable = TRUE,
selection = 'single',
escape = FALSE,
options = list(
paging = FALSE,
preDrawCallback = JS('function() {Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = JS('function() {Shiny.bindAll(this.api().table().node()); }')
)
)
)
observeEvent(input$add.row_1,{
# print(paste0("Row selected",input$mytable2_rows_selected))
if (!is.null(input$mytable2_rows_selected)) {
td <- values$df
tid_n = as.numeric(input$mytable2_rows_selected)
tid = as.numeric(input$mytable2_rows_selected) + 1
if(tid_n == nrow(td)){
td<- rbind(data.frame(td[1:tid_n, ]),
data.frame(td[tid_n, ]))
}else{
td<- rbind(data.frame(td[1:tid_n, ]),
data.frame(td[tid_n, ]),
data.frame(td[tid: nrow(td), ]))
}
td <- data.frame(td)
print(td)
values$df <- td
}
})
output$edit_1 <- renderUI({
tagList(
actionButton(inputId = ns("add.row_1"), label = "Add Row", icon = icon("plus"),class = "example-css-selector",style = "background-color:gray; border-color:gray;color:white;height:31px;"),
actionButton(inputId = ns("delete.row_1"), label = "Delete Row", icon = icon("minus"),class = "example-css-selector",style = "background-color:gray; border-color:gray;color:white;height:31px;"),br(),br()
)
})
# Helper function for reading checkbox.
shinyValue = function(id, len) {
values <- unlist(lapply(seq_len(len), function(i) {
value = input[[paste0(id, i)]]
if (is.null(value)) NA else value
}))
return(values)
}
# Output read checkboxes.
observe({
len <- nrow(values$df)
output$checked <- renderTable({
data.frame(selected=shinyValue("cbox_", len))
})
})
}
# Define UI for application.
ui <- fluidPage(
useShinyjs(),
navbarPage(
'Title',
tab2UI("tab2")
)
)
# Define server.
server <- function(input, output, session) {
# Call tab2 server code.
callModule(tab2Server, "tab2")
}
# Run the application
shinyApp(ui = ui, server = server)
In the code below, I am saving user selected rows into CSV file. It is working perfectly fine. Problem arises if I add filter='top', selection = 'multiple' in datatable() function then it stops returning row value (row position). The user-defined function rowSelect() returns row value.
See the complete code below -
library(shiny)
library(RODBC)
library(DT)
library(shinyalert)
mydata = mtcars
mydata$id = 1:nrow(mydata)
d = data.frame(stringsAsFactors = F)
runApp(
list(ui = pageWithSidebar(
headerPanel('Examples of Table'),
sidebarPanel(
textInput("collection_txt",label="RowIndex")
,br(),useShinyalert(),
actionButton("run", "Write Data"),
br(),
p("Writeback with every user input. CSV file gets saved on your working directory!")),
mainPanel(
DT::dataTableOutput("mytable")
))
, server = function(input, output, session) {
shinyInput <- function(FUN,id,num,...) {
inputs <- character(num)
for (i in seq_len(num)) {
inputs[i] <- as.character(FUN(paste0(id,i),label=NULL,...))
}
inputs
}
rowSelect <- reactive({
rows=names(input)[grepl(pattern = "srows_",names(input))]
paste(unlist(lapply(rows,function(i){
if(input[[i]]==T){
return(substr(i,gregexpr(pattern = "_",i)[[1]]+1,nchar(i)))
}
})))
})
observe({
updateTextInput(session, "collection_txt", value = rowSelect() ,label = "RowIndex:" )
})
df_subset <- reactive({
d = data.frame(n = rowSelect(), stringsAsFactors = F)
return(d)
})
observeEvent(input$run, {write.csv(mydata[as.numeric(df_subset()$n),], file = "Writeback.csv" , row.names=F)
shinyalert(title = "Task Completed!", type = "success")})
output$mytable = DT::renderDataTable({
DT::datatable(cbind(Flag=paste0('<input type="checkbox" id="srows_', mydata$id, '" value="', mydata$id, '">',""),
mydata), extensions = 'Buttons', options = list(orderClasses = TRUE,
pageLength = 5, lengthChange = FALSE, dom = 'Bfrtip',
buttons = c('copy', 'csv', 'excel'),
drawCallback= JS(
'function(settings) {
Shiny.unbindAll(this.api().table().node());
Shiny.bindAll(this.api().table().node());}')
),escape=F)
}
)
}), launch.browser = T
)
Any help would be highly appreciated!
I want to create a web app, which allows user to enter input in numericInput object, which is embedded in DataTable and recalculates result (multiplication of column with some static values and a user input column) in another column.
I believe that when I set a reactive function which wraps around merging dataset and user input column and later I call it from RenderDataTable, that I somehow break the reactivity and I don't have a clue how to keep reactivity within table dependent on user input (which is also in the table). Please help.
Reproducible example to where I am stuck:
library(shiny)
library(DT)
set.seed(21)
db <- data.frame(ent = rep(x = 1,5),
group = c("G","M","O","F","L"),
val = sample(1:100, 5, replace=TRUE))
ui <- fluidPage(
titlePanel(paste0("entity - ", unique(db$ent))),
sidebarLayout(
sidebarPanel(
helpText("Shiny app calculation")
),
mainPanel(
DT::dataTableOutput("table")
))
)
numericText <- function(FUN, id_nums, id_base, label, value, ...) {
inputs <- 1:length(id_nums)
for (i in 1:length(inputs)) {
inputs[i] <- as.character(FUN(paste0(id_base,
id_nums[i]), label, value, ...))
}
return(inputs)
}
inputs <- numericText(numericInput,
id_nums = as.character(1:5),
id_base = "input_",
label = NULL,
value = 0)
db <- data.frame(db,
num = inputs)
server <- function(input, output, session) {
shinyValue = function(id, len) {
unlist(lapply(seq_len(len), function(i) {
value = input[[paste0(id, i)]]
if (is.null(value)) NA else value
}))
}
output_table <- reactive({
data.frame(db, calc = shinyValue("input_", 5))
})
output$table <- renderDataTable({
datatable(output_table(), rownames = FALSE, escape = FALSE, selection
= 'none', options = list(paging = FALSE, ordering = FALSE, searching
= FALSE, preDrawCallback = JS('function() {
Shiny.unbindAll(this.api().table().node()); }'), drawCallback =
JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
})
}
shinyApp(ui = ui, server = server)
Also maybe it helps - I was able to do this if I remove reactive expression from the dataframe and if I write result in another output type(however this is not a solution, since my main purpose is to write it in another column in DataTable):
library(shiny)
library(DT)
set.seed(21)
db <- data.frame(ent = rep(x = 1,5),
group = c("G","M","O","F","L"),
val = sample(1:100, 5, replace=TRUE))
ui <- fluidPage(
titlePanel(paste0("entity - ", unique(db$ent))),
sidebarLayout(
sidebarPanel(
helpText("Shiny app calculation")
),
mainPanel(
DT::dataTableOutput("table"),
verbatimTextOutput("text")
))
)
numericText <- function(FUN, id_nums, id_base, label, value, ...) {
inputs <- 1:length(id_nums)
for (i in 1:length(inputs)) {
inputs[i] <- as.character(FUN(paste0(id_base,
id_nums[i]), label, value, ...))
}
return(inputs)
}
inputs <- numericText(numericInput,
id_nums = as.character(1:5),
id_base = "input_",
label = NULL,
value = 0)
db <- data.frame(db,
num = inputs)
server <- function(input, output, session) {
shinyValue = function(id, len) {
unlist(lapply(seq_len(len), function(i) {
value = input[[paste0(id, i)]]
if (is.null(value)) NA else value
}))
}
output_table <- db
output$table <- renderDataTable({
datatable(output_table, rownames = FALSE, escape = FALSE, selection
= 'none', options = list(paging = FALSE, ordering = FALSE, searching
= FALSE, preDrawCallback = JS('function() {
Shiny.unbindAll(this.api().table().node()); }'), drawCallback =
JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
})
}
output$text <- reactive({shinyValue("input_", 5) * db$val
})
shinyApp(ui = ui, server = server)
I couldn't fully understand your code so I've myself produced another reproducible example based on a bunch of other answers especially this one.
library(shiny)
library(data.table)
library(rhandsontable)
DF = data.frame(num = 1:10, qty = rep(0,10), total = 1:10,
stringsAsFactors = FALSE)
#DF = rbind(DF, c(0,0,0))
ui = fluidPage(
titlePanel("Reactive Table "),
fluidRow(box(rHandsontableOutput("table", height = 400)))
)
server = function(input, output) {
data <- reactiveValues(df=DF)
observe({
input$recalc
data$df <- as.data.frame(DF)
})
observe({
if(!is.null(input$table))
data$df <- hot_to_r(input$table)
})
output$table <- renderRHandsontable({
rhandsontable(data$df)
})
output$table <- renderRHandsontable({
data$df$total <- data$df$num * data$df$qty
print(sum(data$df$num*data$df$price) )
rhandsontable(data$df, selectCallback = TRUE)
})
}
shinyApp(ui, server)
The very first idea is to use rhandsontable which is specifically for this kind of purpose.
I am looking for suggestions in improving performance of my shiny app. This shiny app saves data in CSV format when user selects a particular row by clicking on check box. I don't want it to save data every time when user clicks on check box. Hence I created action button so that user clicks on button only when he is done with the checkbox selection of multiple rows.
library(shiny)
library(DT)
mydata = mtcars
mydata$id = 1:nrow(mydata)
runApp(
list(ui = pageWithSidebar(
headerPanel('Examples of Table'),
sidebarPanel(
textInput("collection_txt",label="RowIndex")
,br(),
actionButton("run", "Write Data"),
br(),
p("Writeback with every user input. CSV file gets saved on your working directory!")),
mainPanel(
DT::dataTableOutput("mytable")
))
, server = function(input, output, session) {
shinyInput <- function(FUN,id,num,...) {
inputs <- character(num)
for (i in seq_len(num)) {
inputs[i] <- as.character(FUN(paste0(id,i),label=NULL,...))
}
inputs
}
rowSelect <- reactive({
rows=names(input)[grepl(pattern = "srows_",names(input))]
paste(unlist(lapply(rows,function(i){
if(input[[i]]==T){
return(substr(i,gregexpr(pattern = "_",i)[[1]]+1,nchar(i)))
}
})))
})
observe({
updateTextInput(session, "collection_txt", value = rowSelect() ,label = "RowIndex:" )
d = data.frame(n = rowSelect(), stringsAsFactors = F)
if (input$run == 0)
return()
isolate({write.csv(mydata[as.numeric(d$n),], file = "Writeback.csv" , row.names=F)})
})
output$mytable = DT::renderDataTable({
DT::datatable(cbind(Flag=shinyInput(checkboxInput,"srows_",nrow(mydata),value=NULL,width=1),
mydata), extensions = 'Buttons', options = list(orderClasses = TRUE,
pageLength = 5, lengthChange = FALSE, dom = 'Bfrtip',
buttons = c('copy', 'csv', 'excel'),
drawCallback= JS(
'function(settings) {
Shiny.bindAll(this.api().table().node());}')
),escape=F)
}
)
}), launch.browser = T
)
I want action button to write data in CSV format only when user clicks on action button. Is there any way to improve the code below.
d = data.frame(n = rowSelect(), stringsAsFactors = F)
if (input$run == 0)
return()
isolate({write.csv(mydata[as.numeric(d$n),], file = "Writeback.csv" , row.names=F)})
Why are you not using observeEvent for the actionButton?
observeEvent(input$run, {
updateTextInput(session, "collection_txt", value = rowSelect() ,label = "RowIndex:" )
d = data.frame(n = rowSelect(), stringsAsFactors = F)
write.csv(mydata[as.numeric(d$n),], file = "Writeback.csv" , row.names=F)
})
I think you're looking for the require function req(input$run) or try if(is.null(input$run)==T){return()}