Related
I am working on a shiny application that allows users to enter comments about an observation. The comments are then saved in a SQL database on the back end. The code below is a working representation of my current application.
What is happening is the tables load with the subset of Cylinder = 4 (the radio buttons), the user can save comments, got to Cylinder = 6, save comments, and then Cylinder = 8, and save comments. But if I ever change the cylinder back to a value that I've already saved comments at, the text inputs are unbound and no comments are saved. In order to restore the functionality, I have to restart the application. I've found that irritates my users.
What do I need to do to make sure I can continue to save comments if I go back to a Cylinder value I've already used?
I'm sorry that it isn't a very concise example. When you enter a comment, the console will print the number of comments saved, and display the data frame that was altered so you can compare what is showing in the application.
library(shiny)
library(DT)
library(dplyr)
mtcars$comment <- rep("", nrow(mtcars))
mtcars$row_id <- seq_len(nrow(mtcars))
AppData <- split(mtcars, mtcars[c("cyl", "am")])
# Makes a text input column out of a data frame
make_inputtable <- function(df){
df$comment <-
mapply(
function(comment, id){
as.character(textInput(inputId = sprintf("txt_comment_%s", id),
label = "",
value = comment))
},
comment = df$comment,
id = df$row_id,
SIMPLIFY = TRUE)
df
}
ui <- shinyUI(
fluidPage(
radioButtons(inputId = "rdo_cyl",
label = "Cylinders",
choices = sort(unique(mtcars$cyl)),
inline = TRUE),
h3("Automatic"),
actionButton(inputId = "btn_save_automatic",
label = "Save Comments"),
DT::dataTableOutput("am0"),
hr(),
h3("Manual"),
actionButton(inputId = "btn_save_manual",
label = "Save Comments"),
DT::dataTableOutput("am1"),
# unbind a datatable. Needs to be done before a table is redrawn.
tags$script(HTML(
"Shiny.addCustomMessageHandler('unbind-DT', function(id) {
Shiny.unbindAll($('#'+id).find('table').DataTable().table().node());
})"))
)
)
server <- shinyServer(function(input, output, session){
reactiveData <- reactiveValues(
am0_cyl4 = AppData[["4.0"]],
am0_cyl6 = AppData[["6.0"]],
am0_cyl8 = AppData[["8.0"]],
am1_cyl4 = AppData[["4.1"]],
am1_cyl6 = AppData[["6.1"]],
am1_cyl8 = AppData[["8.1"]]
)
# Reactive Objects ------------------------------------------------
ref0 <- reactive({
sprintf("am0_cyl%s", input$rdo_cyl)
})
data0 <- reactive({
reactiveData[[ref0()]]
})
ref1 <- reactive({
sprintf("am1_cyl%s", input$rdo_cyl)
})
data1 <- reactive({
reactiveData[[ref1()]]
})
# Event Observers -------------------------------------------------
observeEvent(
input$btn_save_automatic,
{
in_field <- names(input)[grepl("^txt_comment_", names(input))]
in_field_id <- sub("^txt_comment_", "", in_field)
in_field_id <- as.numeric(in_field_id)
in_field_id <- in_field_id[in_field_id %in% data0()$row_id]
exist_frame <- data0()[c("row_id", "comment")]
new_frame <-
data.frame(
row_id = in_field_id,
comment = vapply(in_field_id,
function(id){ input[[sprintf("txt_comment_%s", id)]]},
character(1)),
stringsAsFactors = FALSE)
Compare <- left_join(exist_frame,
new_frame,
by = "row_id",
suffix = c("_exist", "_new")) %>%
filter(comment_exist != comment_new)
message(sprintf("* %s comment(s) saved", nrow(Compare)))
# Only perform the save operations if there are changes to be made.
if (nrow(Compare)){
session$sendCustomMessage("unbind-DT", "am0")
for(i in seq_len(nrow(Compare))){
row <- Compare$row_id
reactiveData[[ref0()]]$comment[reactiveData[[ref0()]]$row_id == row] <-
input[[sprintf("txt_comment_%s", row)]]
}
print(data0())
}
}
)
# Very similar to btn_save_automatic
observeEvent(
input$btn_save_manual,
{
in_field <- names(input)[grepl("^txt_comment_", names(input))]
in_field_id <- sub("^txt_comment_", "", in_field)
in_field_id <- as.numeric(in_field_id)
in_field_id <- in_field_id[in_field_id %in% data1()$row_id]
exist_frame <- data1()[c("row_id", "comment")]
new_frame <-
data.frame(
row_id = in_field_id,
comment = vapply(in_field_id,
function(id){ input[[sprintf("txt_comment_%s", id)]]},
character(1)),
stringsAsFactors = FALSE)
Compare <- left_join(exist_frame,
new_frame,
by = "row_id",
suffix = c("_exist", "_new")) %>%
filter(comment_exist != comment_new)
message(sprintf("* %s comment(s) saved", nrow(Compare)))
# Only perform the save operations if there are changes to be made.
if (nrow(Compare)){
session$sendCustomMessage("unbind-DT", "am1")
for(i in seq_len(nrow(Compare))){
row <- Compare$row_id
reactiveData[[ref1()]]$comment[reactiveData[[ref1()]]$row_id == row] <-
input[[sprintf("txt_comment_%s", row)]]
}
print(data1())
}
}
)
# Output Objects --------------------------------------------------
output$am0 <-
DT::renderDataTable({
make_inputtable(data0()) %>%
datatable(escape = -13,
options = list(preDrawCallback = DT::JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = DT::JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
})
output$am1 <-
DT::renderDataTable({
make_inputtable(data1()) %>%
datatable(escape = -13,
options = list(preDrawCallback = DT::JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = DT::JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
})
})
shinyApp(ui = ui, server = server)
Edits and updates
editable data tables are a potential solution, but would require upgrading our package library. We are currently using R 3.4.1 with shiny 1.0.4 and DT 0.2.12.
Yes, that's comparatively ancient. But the cost of upgrading is substantial given the sensitivity of the reports supported by this application and the quality assurance required by any upgrade.
Putting aside your version restrictions, here is how I'd approach this with the latest library(DT) version (Hopefully useful for future readers and maybe someday you will also update):
Edit: now using dataTableProxy to avoid re-rendering.
library(shiny)
library(DT)
ui <- shinyUI(
fluidPage(
radioButtons(inputId = "rdo_cyl",
label = "Cylinders",
choices = sort(unique(mtcars$cyl)),
inline = TRUE),
h3("Automatic"),
actionButton(inputId = "btn_save_automatic",
label = "Save Comments"), p(),
DTOutput("am0"),
hr(),
h3("Manual"),
actionButton(inputId = "btn_save_manual",
label = "Save Comments"), p(),
DTOutput("am1")
)
)
server <- shinyServer(function(input, output, session){
globalData <- mtcars
globalData$comment <- rep("", nrow(mtcars))
globalData$row_id <- seq_len(nrow(mtcars))
diabledCols <- grep("comment", names(globalData), invert = TRUE)
AppData <- reactiveVal(globalData)
automaticAppData <- reactive({
AppData()[AppData()[["cyl"]] %in% input$rdo_cyl & AppData()[["am"]] %in% "0", ]
})
manualAppData <- reactive({
AppData()[AppData()[["cyl"]] %in% input$rdo_cyl & AppData()[["am"]] %in% "1", ]
})
output$am0 <- DT::renderDT(
# isolate: render only once
expr = {isolate(automaticAppData())},
editable = list(target = "cell", disable = list(columns = diabledCols))
)
output$am1 <- DT::renderDT(
# isolate: render only once
expr = {isolate(manualAppData())},
editable = list(target = "cell", disable = list(columns = diabledCols))
)
observeEvent(input$btn_save_automatic, {
info = input$am0_cell_edit
str(info)
i = automaticAppData()$row_id[[info$row]]
j = info$col
v = info$value
globalData[i, j] <<- DT::coerceValue(v, globalData[i, j])
AppData(globalData)
# update database...
})
observeEvent(input$btn_save_manual, {
info = input$am1_cell_edit
str(info)
i = manualAppData()$row_id[[info$row]]
j = info$col
v = info$value
globalData[i, j] <<- DT::coerceValue(v, globalData[i, j])
AppData(globalData)
# update database...
})
am0Proxy <- dataTableProxy("am0")
am1Proxy <- dataTableProxy("am1")
observeEvent(automaticAppData(), {
replaceData(am0Proxy, automaticAppData(), resetPaging = FALSE)
})
observeEvent(manualAppData(), {
replaceData(am1Proxy, manualAppData(), resetPaging = FALSE)
})
})
shinyApp(ui = ui, server = server)
Here are some related infos.
Update for DT Version 0.2
Here is another solution closer to your initial code. I'm using isolate(), dataTableProxy() and replaceData() which are available since DT version 0.2 to avoid re-rendering the table, which resolves the binding issue and should be faster.
Another problem in your code was that you called session$sendCustomMessage("unbind-DT", "am0") twice instead of using it for "am1".
library(shiny)
library(DT)
library(dplyr)
mtcars$comment <- rep("", nrow(mtcars))
mtcars$row_id <- seq_len(nrow(mtcars))
AppData <- split(mtcars, mtcars[c("cyl", "am")])
# Makes a text input column out of a data frame
make_inputtable <- function(df){
df$comment <-
mapply(
function(comment, id){
as.character(textInput(inputId = sprintf("txt_comment_%s", id),
label = "",
value = comment))
},
comment = df$comment,
id = df$row_id,
SIMPLIFY = TRUE)
df
}
ui <- shinyUI(
fluidPage(
radioButtons(inputId = "rdo_cyl",
label = "Cylinders",
choices = sort(unique(mtcars$cyl)),
inline = TRUE),
h3("Automatic"),
actionButton(inputId = "btn_save_automatic",
label = "Save Comments"),
DT::dataTableOutput("am0"),
hr(),
h3("Manual"),
actionButton(inputId = "btn_save_manual",
label = "Save Comments"),
DT::dataTableOutput("am1"),
# unbind a datatable. Needs to be done before a table is redrawn.
tags$script(HTML(
"Shiny.addCustomMessageHandler('unbind-DT', function(id) {
Shiny.unbindAll($('#'+id).find('table').DataTable().table().node());
})"))
)
)
server <- shinyServer(function(input, output, session){
reactiveData <- reactiveValues(
am0_cyl4 = AppData[["4.0"]],
am0_cyl6 = AppData[["6.0"]],
am0_cyl8 = AppData[["8.0"]],
am1_cyl4 = AppData[["4.1"]],
am1_cyl6 = AppData[["6.1"]],
am1_cyl8 = AppData[["8.1"]]
)
# Reactive Objects ------------------------------------------------
ref0 <- reactive({
sprintf("am0_cyl%s", input$rdo_cyl)
})
data0 <- reactive({
reactiveData[[ref0()]]
})
ref1 <- reactive({
sprintf("am1_cyl%s", input$rdo_cyl)
})
data1 <- reactive({
reactiveData[[ref1()]]
})
# Event Observers -------------------------------------------------
observeEvent(
input$btn_save_automatic,
{
in_field <- names(input)[grepl("^txt_comment_", names(input))]
in_field_id <- sub("^txt_comment_", "", in_field)
in_field_id <- as.numeric(in_field_id)
in_field_id <- in_field_id[in_field_id %in% data0()$row_id]
exist_frame <- data0()[c("row_id", "comment")]
new_frame <-
data.frame(
row_id = in_field_id,
comment = vapply(in_field_id,
function(id){ input[[sprintf("txt_comment_%s", id)]]},
character(1)),
stringsAsFactors = FALSE)
Compare <- left_join(exist_frame,
new_frame,
by = "row_id",
suffix = c("_exist", "_new")) %>%
filter(comment_exist != comment_new)
message(sprintf("* %s comment(s) saved", nrow(Compare)))
# Only perform the save operations if there are changes to be made.
if (nrow(Compare)){
session$sendCustomMessage("unbind-DT", "am0")
for(i in seq_len(nrow(Compare))){
row <- Compare$row_id
reactiveData[[ref0()]]$comment[reactiveData[[ref0()]]$row_id == row] <-
input[[sprintf("txt_comment_%s", row)]]
}
print(data0())
}
}
)
# Very similar to btn_save_automatic
observeEvent(
input$btn_save_manual,
{
in_field <- names(input)[grepl("^txt_comment_", names(input))]
in_field_id <- sub("^txt_comment_", "", in_field)
in_field_id <- as.numeric(in_field_id)
in_field_id <- in_field_id[in_field_id %in% data1()$row_id]
exist_frame <- data1()[c("row_id", "comment")]
new_frame <-
data.frame(
row_id = in_field_id,
comment = vapply(in_field_id,
function(id){ input[[sprintf("txt_comment_%s", id)]]},
character(1)),
stringsAsFactors = FALSE)
Compare <- left_join(exist_frame,
new_frame,
by = "row_id",
suffix = c("_exist", "_new")) %>%
filter(comment_exist != comment_new)
message(sprintf("* %s comment(s) saved", nrow(Compare)))
# Only perform the save operations if there are changes to be made.
if (nrow(Compare)){
session$sendCustomMessage("unbind-DT", "am1")
for(i in seq_len(nrow(Compare))){
row <- Compare$row_id
reactiveData[[ref1()]]$comment[reactiveData[[ref1()]]$row_id == row] <-
input[[sprintf("txt_comment_%s", row)]]
}
print(data1())
}
}
)
# Output Objects --------------------------------------------------
output$am0 <-
DT::renderDataTable({
# isolate: render table only once!
make_inputtable(isolate(data0())) %>%
datatable(escape = -13,
options = list(preDrawCallback = DT::JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = DT::JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
}, server = TRUE)
output$am1 <-
DT::renderDataTable({
# isolate: render table only once!
make_inputtable(isolate(data1())) %>%
datatable(escape = -13,
options = list(preDrawCallback = DT::JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = DT::JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
}, server = TRUE)
am0Proxy <- dataTableProxy("am0")
am1Proxy <- dataTableProxy("am1")
observeEvent(data0(), {
replaceData(am0Proxy, make_inputtable(data0()), resetPaging = FALSE) # important
}, ignoreInit = TRUE)
observeEvent(data1(), {
replaceData(am1Proxy, make_inputtable(data1()), resetPaging = FALSE) # important
}, ignoreInit = TRUE)
})
shinyApp(ui = ui, server = server)
You are either unbinding too soon or too late, I am not certain from the code snippet you posted. Can you make multiple objects of the same type to bind to instead?
Edit:
I find this line suspicious:
# unbind a datatable. Needs to be done before a table is redrawn.
tags$script(HTML(
"Shiny.addCustomMessageHandler('unbind-DT', function(id) {
Shiny.unbindAll($('#'+id).find('table').DataTable().table().node());
})")) )
Seems like you are unbinding twice and binding only once.
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$df, selectCallback = TRUE)
})
}
shinyApp(ui, server)
The very first idea is to use rhandsontable which is specifically for this kind of purpose.
I am new to the shiny, I would like to edit different multiple data frames by radio button or selectinput by using rhandsontable package. However, my script can not show other data frame but only the first one, I don't know what is the problem.
ui.R:
library(rhandsontable)
fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("select2", label = h3("Choose to edit"),
choices = list("003.csv", "004.csv", "005.csv",
"006.csv", "007.csv"),
selected = "003.csv"),
actionButton("saveBtn", "Save changes")
),
mainPanel(
rHandsontableOutput("hot")
)))
server.R
values <- reactiveValues()
setHot <- function(x) values[["hot"]] <<- x
function(input, output, session) {
fname <- reactive({
x <- input$select2
return(x)
})
observe({
input$saveBtn # update csv file each time the button is pressed
if (!is.null(values[["hot"]])) {
write.csv(x = values[["hot"]], file = fname(), row.names = FALSE)
}
})
output$hot <- renderRHandsontable({
if (!is.null(input$hot)) { # if there is an rhot user input...
DF <- hot_to_r(input$hot) # convert rhandsontable data to R object
and store in data frame
setHot(DF) # set the rhandsontable values
} else {
DF <- read.csv(fname(), stringsAsFactors = FALSE) # else pull table from the csv (default)
setHot(DF) # set the rhandsontable values
}
rhandsontable(DF) %>% # actual rhandsontable object
hot_table(highlightCol = TRUE, highlightRow = TRUE, readOnly = TRUE) %>%
hot_col("Status", readOnly = FALSE)
})}
I can edit and save the dataframe that it shows the first one 003.csv, however when i use the drop down list to 004.csv, it didn't show the dataframe. please advise.
This will write (and possibly overwrite ⚠ any existing file with) dummy data:
for (i in c("003.csv", "004.csv", "005.csv", "006.csv", "007.csv")) {
write.csv(cbind(V1 = rep(i, 3), Status = "foo"), i, row.names = FALSE)
}
I overhauled server a bit:
library(shiny)
library(rhandsontable)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(
"select2", label = h3("Choose to edit"), selected = "003.csv",
choices = list("003.csv", "004.csv", "005.csv", "006.csv", "007.csv")
),
actionButton("saveBtn", "Save changes")
),
mainPanel(
rHandsontableOutput("hot")
)
)
)
server <- function(input, output, session) {
DF <- reactiveVal()
observe({
DF(read.csv(input$select2, stringsAsFactors = FALSE))
})
observe({
if (!is.null(input$hot)) DF(hot_to_r(input$hot))
})
observeEvent(input$saveBtn, {
if (!is.null(DF())) write.csv(DF(), input$select2, row.names = FALSE)
})
output$hot <- renderRHandsontable({
rhandsontable(DF()) %>%
hot_table(highlightCol = TRUE, highlightRow = TRUE, readOnly = TRUE) %>%
hot_col("Status", readOnly = FALSE)
})
}
shinyApp(ui, server)
Below logic gives Dropdown's from UI and working well.
dynamic textInput with R shiny ( USer can enter any text )
Need Help: Now I want user input STRING on "col_a4" to match user input string rather then drop down on"col_a4".
Used shiny dashboard and DT library in my work. Is there any way i can include search option in UI to search in the -col_a4
###### UI.R
library(shiny)
library(shinydashboard)
library(DT)
ui <- shinyUI(fluidPage(titlePanel("Demo"),selectInput("dataset", "Choose a dataset:",choices = c("Book1", "Book2", "Book3")),
column(width=2,uiOutput("col_a1")),
column(width=2,uiOutput("col_a2")),
column(width=2,uiOutput("col_a3")),
column(width=2,uiOutput("col_a4")),
div(style="display: inline-block;vertical-align:top; width: 8px;",HTML("<br>")),
downloadButton("downloadData", "Click Me"),
uiOutput("dt")
))
###### server.R
library(shiny)
library(DT)
server = shinyServer(function(input,output){
global <- reactiveValues(refresh = FALSE)
datasetInput <- reactive({
switch(input$dataset,
"Book1" = Book1,
"Book2" = Book2,
"Book3" = Book3)
})
output$Dataset1 <- renderDataTable({
data=datasetInput()
})
output$col_a1 = renderUI({
selectInput("col_a1", "Select col_a1:", datasetInput()$col_a1,selectize = TRUE,multiple = T)
})
output$col_a2 = renderUI({
selectInput("col_a2", "Select col_a2:", datasetInput()$col_a2,selectize = TRUE,multiple = T)
})
output$col_a3 = renderUI({
selectInput("col_a3", "Select col_a3:", datasetInput()$col_a3,selectize = TRUE,multiple = T)
})
output$col_a4 = renderUI({
selectInput("col_a4", "Select col_a4:", datasetInput()$col_a4,selectize = TRUE,multiple = T)
})
output$Counter = renderText(
{
output$Clicked = renderText(0)
isolate(global$refresh <- FALSE)
filter = datasetInput()$col_a1%in%input$col_a1 &
datasetInput()$col_a2%in%input$col_a2 &
datasetInput()$col_a3%in%input$col_a3 &
datasetInput()$col_a4%in%input$col_a4
DataFilter1 = paste("Total Number of Records",nrow(subset(datasetInput(),
filter)))
}
)
observeEvent(input$Click,{
output$Clicked = renderText(1)
isolate(global$refresh <- TRUE)
output$Table = DT::renderDataTable(
{
input$Click
filter = datasetInput()$col_a1%in%input$col_a1 &
datasetInput()$col_a2%in%input$col_a2 &
datasetInput()$col_a3%in%input$col_a3 &
datasetInput()$col_a4%in%input$col_a4
DataFilter = subset(datasetInput(),filter)
})
output$Datasetaa1 <- renderDataTable({
data=Table()
})
output$mytable11 <- DT::renderDataTable({
DT::datatable(Datasetaa1[, input$show_vars, drop = FALSE])
})
output$dt <- renderUI({if(global$refresh == FALSE) return()
dataTableOutput('mytable11')})
})
myout = reactive({
filter = datasetInput()$col_a1%in%input$col_a1 &
datasetInput()$col_a2%in%input$col_a2 &
datasetInput()$col_a3%in%input$col_a3 &
datasetInput()$col_a4%in%input$col_a4
DataFilter = subset(datasetInput(),filter)
})
output$downloadData <- downloadHandler(
filename=function() {
paste('data-', Sys.Date(), '.csv', sep='')
},
content = function(file) {
write.csv(myout(),file)
},
contentType = "text/plain"
)
})
I have an app like below. I want to either read-in data from file upload or use the built-in data. I thought I could put an action button and if somebody hit it the input data will mount on and it goes to the next levels. My problem is later in my real app, some widgets such as selectInput have to be updated and I want to be empty until user decided whether to use uploaded data or the built-in one.
library(shiny)
x <- mtcars
ui <- fluidPage(
fileInput(inputId = "uploadcsv", "", accept = '.csv'),
actionButton(inputId = "a", label = "action button"),
selectInput("select",label = h3("Select box"),choices = "",selected = 1)
)
server <- function(input, output, session) {
data <- reactive({
infile <- input$uploadcsv
if (is.null(infile))
return(NULL)
read.csv(infile$datapath, header = TRUE, sep = ",")
})
DataToUse <- NULL
observe(!is.null(input$uploadedcsv),
DataToUse <- data()
)
observeEvent(input$a,
DataToUse <- x
)
observe({
req(DataToUse)
if (max(DataToUse$cyl) %% 4 == 0){
numberofinterval <- max(DataToUse$cyl) %/% 4
} else {
numberofinterval <- (max(DataToUse$cyl) %/% 4)+1
}
NumPeriod <- seq(0, numberofinterval)
updateSelectInput(session, inputId = "select",
choices = NumPeriod,
selected = NumPeriod)
})
}
shinyApp(ui = ui, server = server)
Something like this should do:
library(shiny)
x <- mtcars
ui <- fluidPage(
fileInput(inputId = "uploadcsv", "", accept = '.csv'),
actionButton(inputId = "a", label = "action button"),
selectInput("select",label = h3("Select box"),choices = "",selected = 1)
)
server <- function(input, output, session) {
data <- reactive({
infile <- input$uploadcsv
if (is.null(infile))
return(NULL)
read.csv(infile$datapath, header = TRUE, sep = ",")
})
v <- reactiveValues()
v$DataToUse <- NULL
observeEvent(input$uploadcsv,{
if(!is.null(input$uploadcsv)){
v$DataToUse <- data()
}
})
observeEvent(input$a,v$DataToUse <- x)
observeEvent(v$DataToUse,{
req(v$DataToUse)
if (max(v$DataToUse$cyl) %% 4 == 0){
numberofinterval <- max(v$DataToUse$cyl) %/% 4
} else {
numberofinterval <- (max(v$DataToUse$cyl) %/% 4)+1
}
NumPeriod <- seq(0, numberofinterval)
updateSelectInput(session, inputId = "select",
choices = NumPeriod,
selected = NumPeriod)
})
}
shinyApp(ui = ui, server = server)