I am trying to test rhandsontable in R shiny app with shinytest package. But fail to access table3 and get a following error:
Error in session_makeRequest(self, private, endpoint, data, params, headers) :
undefined is not an object (evaluating 'HTMLWidgets.getInstance(table3).hot')
##app.R
library(shiny)
library(rhandsontable)
create_df <-function() {
df <- data.frame(matrix(0.0, ncol = 2, nrow = 1))
return(df)
}
ui <- basicPage(
navbarPage("App", id="nav",fluid = TRUE,
tabPanel("Table 1", id="t1",
titlePanel("Table 1"),
hr(),
fluidRow(column(12,
tagList(
tags$h3("Table 1"),
rHandsontableOutput("table1")
)
)),
fluidRow(column(12,
tagList(
tags$h3("Table 2"),
rHandsontableOutput("table2")
)))
),
tabPanel("Table 3",id="t3",
titlePanel("Table 3"),
hr(),
fluidRow(column(12,
tagList(
tags$h3("Table 3"),
rHandsontableOutput("table3")
)
)))
)
)
server <- function(input, output, session) {
v = reactiveValues()
observe({ input$table1
if (!is.null(input$table1)) {
v$table1<- hot_to_r(input$table1)
} else {
v$table1<-create_df()
}
})
output$table1 <- renderRHandsontable({
rhandsontable(v$table1)
})
observe({ input$table2
if (!is.null(input$table2)) {
v$table2<- hot_to_r(input$table2)
} else {
v$table2<-create_df()
}
})
# observeEvent(input$df,{
# v$df2 <- v$df * 2
# })
output$table2 <- renderRHandsontable({
rhandsontable(v$table2)
})
observe({ input$table3
if (!is.null(input$table3)) {
v$table3<- hot_to_r(input$table3)
} else {
v$table3<-create_df()
}
})
output$table3 <- renderRHandsontable({
rhandsontable(v$table3)
})
}
shinyApp(ui = ui, server = server)
#shinytest script
library(shinytest)
app <- ShinyDriver$new("path to app")
app$snapshotInit("mytest")
app$snapshot(screenshot = FALSE)
script <- paste0(
"var $table = HTMLWidgets.getInstance(table3).hot;",
"$table.setDataAtCell([[0,0,'1'],[0,1,'1']]);"
)
app$executeScript(script)
app$snapshot(screenshot = FALSE)
My expectation of this script is that first two cells in first row will get values of 1 assigned to them, but it does not happen. Please advise how to solve it. Thank you.
That's because you execute the script while you are not in the tab containing table3. Try:
app <- ShinyDriver$new("../")
app$snapshotInit("mytest")
app$setInputs(nav = "Table 3") # <-- go the tab containing 'table3'
script <- paste0(
"var $table = HTMLWidgets.getInstance(table3).hot;",
"$table.setDataAtCell([[0,0,'1'],[0,1,'1']]);"
)
app$executeScript(script)
app$snapshot()
Related
I am a beginer of shiny, and I am building a shiny app using win10 system, rstudio, and shiny version 1.7.1. I would like to make it more user oriented. It means that other parts of the application will be hid unless user uploads correct data. After many attempts, I decided to use session$userData and shinyjs::toggle to develop this app. But I am confused by session$userData. In the beginning, by reading the official documentation, I think it just like the global environment of r. But obviously not. So I just want to know how to use it correctly, or how to realize the features I want. There are three examples I had tried, they are for your reference.
Please note that the third example is almost what I want, but I don't think it's elegant since the continue button is somewhat redundant.
Examples 1:
I would like to check whether there is data input or whether the input data is a csv format, if true, show the data, and if not, the rest part of the app will be hid. In this case you can see, although you data have passed the check, the tablepanel b will still show nothing, unless before input data you have clicked tablepanel b, or unless after data checking you clicked button go again.
##### 1. packages #####
library(shiny)
library(shinyjs)
##### 2. ui #####
ui <- fluidPage(
useShinyjs(),
tabsetPanel(
tabPanel("a",
sidebarLayout(
sidebarPanel(uiOutput("ui_p1_sidebar1"), uiOutput("ui_p1_sidebar2")),
mainPanel(uiOutput("ui_p1_main"))
)),
tabPanel("b",
sidebarLayout(
sidebarPanel(uiOutput("ui_p2_sidebar")),
mainPanel(uiOutput("ui_p2_main"))
))
)
)
##### 3. server #####
server <- function(input, output, session) {
output$ui_p1_sidebar1 <- renderUI({
fileInput(inputId = "p1s_inputdata",
label = "Input data",
multiple = FALSE,
accept = ".csv")
})
output$ui_p1_sidebar2 <- renderUI({
shiny::actionButton(inputId = "p1s_go",
label = "go",
icon = icon("play"))
})
observeEvent(input$p1s_go,{
isolate({
data <- input$p1s_inputdata
})
output$ui_p1_main <- renderUI({
tagList(
h3("Data check: "),
verbatimTextOutput(outputId = "p1m_datacheck", placeholder = T),
h3("Data show: "),
verbatimTextOutput(outputId = "p1m_datashow", placeholder = T),
)
})
output$p1m_datacheck <- renderPrint({
# data check part, the result of checking is stored by session$userData$sig
if(is.null(data)){
cat("There is no data input! \n")
session$userData$sig <- F
} else{
dataExt <- tools::file_ext(data$name)
if(dataExt != "csv"){
cat("Please input csv data! \n")
session$userData$sig <- F
} else{
cat("Data have passed the check!")
session$userData$data <- read.csv(data$datapath)
session$userData$sig <- T
}
}
})
output$p1m_datashow <- renderPrint({
if(session$userData$sig){
print(session$userData$data)
} else{
cat("Please check the data!")
}
})
output$ui_p2_sidebar <- renderUI({
radioButtons("aaa", "aaa", choices = c("a", "b", "c"))
})
output$ui_p2_main <- renderUI({
verbatimTextOutput(outputId = "p2m_print", placeholder = T)
})
output$p2m_print <- renderPrint({print(letters[1:10])})
observe({
toggle(id = "ui_p2_sidebar", condition = session$userData$sig)
toggle(id = "ui_p2_main", condition = session$userData$sig)
})
})
}
##### 4. app #####
shinyApp(ui = ui, server = server)
Example 2:
In this small case you can see, in a samle module, session$userData$... changed timely, but in another module, it will not change unless you click the button again. It that means session$userData$... could have different values at the same time?
##### 1. packages #####
library(shiny)
##### 2. ui #####
ui <- fluidPage(
sidebarLayout(
sidebarPanel(uiOutput("ui_sidebar")),
mainPanel(uiOutput("ui_main1"), uiOutput("ui_main2"))
)
)
##### 3. server #####
server <- function(input, output, session) {
output$ui_sidebar <- renderUI({
tagList(
radioButtons("s_letter", "letters", choices = c("a", "b", "c")),
shiny::actionButton(inputId = "go1",
label = "GO1",
icon = icon("play"))
)
})
observeEvent(input$go1, {
output$ui_main1 <- renderUI({
tagList(
h3("module 1: shared value changes timely."),
verbatimTextOutput(outputId = "m1", placeholder = T),
h3("module 2: shared value changes by button."),
verbatimTextOutput(outputId = "m2", placeholder = T)
)
})
output$m1 <- renderPrint({
out <- switch (input$s_letter,
"a" = "choose a",
"b" = "choose b",
"c" = "choose c")
session$userData$sharedout <- out
cat("out: \n")
print(out)
cat("sharedout: \n")
print(session$userData$sharedout)
})
output$m2 <- renderPrint({
cat("sharedout: \n")
print(session$userData$sharedout)
})
})
}
##### 4. app #####
shinyApp(ui = ui, server = server)
Example 3: I also tried other solutions. There is a modification of example 1, I have added a continue button to realize my thought. It works well, but I hope the hidden action is based on conditions rather than events. So how to remove the button and let the rest part displayed automatically if data passed checking?
##### 1. packages #####
library(shiny)
##### 2. ui #####
ui <- fluidPage(
tabsetPanel(
tabPanel("a",
sidebarLayout(
sidebarPanel(uiOutput("ui_p1_sidebar1"), uiOutput("ui_p1_sidebar2")),
mainPanel(uiOutput("ui_p1_main"))
)),
tabPanel("b",
sidebarLayout(
sidebarPanel(uiOutput("ui_p2_sidebar")),
mainPanel(uiOutput("ui_p2_main"))
))
)
)
##### 3. server #####
server <- function(input, output, session) {
output$ui_p1_sidebar1 <- renderUI({
fileInput(inputId = "p1s_inputdata",
label = "Input data",
multiple = FALSE,
accept = ".csv")
})
output$ui_p1_sidebar2 <- renderUI({
shiny::actionButton(inputId = "p1s_go",
label = "go",
icon = icon("play"))
})
observeEvent(input$p1s_go,{
isolate({
data <- input$p1s_inputdata
})
output$ui_p1_main <- renderUI({
tagList(
h3("Data check: "),
verbatimTextOutput(outputId = "p1m_datacheck", placeholder = T),
uiOutput("ispass"),
h3("Data show: "),
verbatimTextOutput(outputId = "p1m_datashow", placeholder = T)
)
})
output$p1m_datacheck <- renderPrint({
if(is.null(data)){
cat("There is no data input! \n")
session$userData$sig <- F
} else{
dataExt <- tools::file_ext(data$name)
if(dataExt != "csv"){
cat("Please input csv data! \n")
session$userData$sig <- F
} else{
cat("Data have passed the check!")
session$userData$data <- read.csv(data$datapath)
session$userData$sig <- T
}
}
})
output$ispass <- renderUI({
if(isFALSE(session$userData$sig)){
return()
} else{
shiny::actionButton(inputId = "ispass",
label = "continue",
icon = icon("play"))
}
})
})
observeEvent(input$ispass,{
output$p1m_datashow <- renderPrint({
if(session$userData$sig){
print(session$userData$data)
} else{
cat("Please check the data!")
}
})
output$ui_p2_sidebar <- renderUI({
radioButtons("aaa", "aaa", choices = c("a", "b", "c"))
})
output$ui_p2_main <- renderUI({
verbatimTextOutput(outputId = "p2m_print", placeholder = T)
})
output$p2m_print <- renderPrint({print(letters[1:10])})
})
}
##### 4. app #####
shinyApp(ui = ui, server = server)
I hope the following refactoring will help and does what you want.
An essential tool for hiding,showing and updating UI elements can be the renderUI, but often this is overkill because of rerenderings.
But I would suggest using the shinyjs-package which gives you functions like shinyjs::show and shinyjs::hide for showing and hiding. For updating UI-elements, there are functions like shiny::updateActionButton,shiny::updateCheckboxInput, shiny::updateRadioButtons, ....
It is (always) useful to give your UI-elements IDs, like the tabsetPanel.
Moreover, a nice tool too is shiny::conditionalPanel, but you will dive into all this stuff when programming more apps. :)
##### 1. packages #####
library(shiny)
myapp <- function() {
##### 2. ui #####
ui <- fluidPage(
tabsetPanel(
tabPanel("a",
sidebarLayout(
sidebarPanel(
fileInput(inputId = "p1s_inputdata", label = "Input data", multiple = FALSE, accept = ".csv")
),
mainPanel(uiOutput("ui_p1_main"))
)),
tabPanel("b",
sidebarLayout(
sidebarPanel(radioButtons("aaa", "aaa", choices = c("some", "placeholder", "stuff"))),
mainPanel(verbatimTextOutput(outputId = "p2m_print", placeholder = T))
)),
id = "TABSETPANEL"
)
)
##### 3. server #####
server <- function(input, output, session) {
shiny::hideTab(inputId = "TABSETPANEL", target = "b", session = session)
observeEvent(input$p1s_inputdata, {
data <- input$p1s_inputdata
dataCheckText <- NULL
if(is.null(data)){
dataCheckText <- "There is no data input!"
session$userData$sig <- F
} else{
dataExt <- tools::file_ext(data$name)
if(dataExt != "csv"){
dataCheckText <- "Please input csv data!"
session$userData$sig <- F
} else{
dataCheckText <- "Data have passed the check!"
session$userData$data <- read.csv(data$datapath)
session$userData$sig <- T
}
}
output$p1m_datacheck <- renderPrint(dataCheckText)
if(session$userData$sig) shiny::showTab(inputId = "TABSETPANEL", target = "b", session = session)
else shiny::hideTab(inputId = "TABSETPANEL", target = "b", session = session)
main1Taglist <- tagList(
h3("Data check: "),
verbatimTextOutput(outputId = "p1m_datacheck", placeholder = T)
)
if(session$userData$sig) {
shiny::showTab(inputId = "TABSETPANEL", target = "b", session = session)
output$p1m_datashow <- renderPrint({
print(session$userData$data)
})
main1Taglist <- c(main1Taglist, tagList(
h3("Data show: "),
verbatimTextOutput(outputId = "p1m_datashow", placeholder = T)
))
#Update stuff in panel b according to the new data
updateRadioButtons(session = session, inputId = "aaa", choices = names(session$userData$data))
output$p2m_print <- renderPrint({print(letters[1:10])})
}
output$ui_p1_main <- renderUI(main1Taglist)
})
}
##### 4. app #####
shinyApp(ui = ui, server = server)
}
myapp()
You're somewhat on the right track. Try something like this:
observeEvent(input$go1, {
# Perform data validation here.
# This would look similar to what you have inside output$p1m_datacheck <- renderPrint({})
# If data file is no good, do nothing, exit this function: return()
# Else, data file is good, continue
# Do your output$* <- render*() functions here
})
You don't need to isolate() inside the handlerExpr of observeEvent(). It will already be executed in an isolate() scope.
I encountered the following problem that I have tried to summarize in this minimal reproducible example.
The app should be able to dynamically create modules and render the UI of the module - obj_UI in my example - in a tab of the tabsetpanel objTP. Each of this modules should render a R6 object of type objR6. I would like to save the resulting R6 objects into a reactiveValues variable called objCollection and display it in the verbatimTextOutput called displayValues.
When clicking on the input$addObject button, I get the error message "Error in <-: cannot add bindings to a locked environment". I believe the problem lies in the observeEvent at the very end of the example, but cannot figure what it is.
Any help would be much appreciated!
library(shiny)
library(R6)
# Simple R6 object
objR6 <- R6::R6Class(
"objR6",
public = list(
identifier = NULL,
selected_value = NULL,
initialize = function(identifier) {
self$identifier <- identifier
}
)
)
# Module Ui
obj_UI <- function(id) {
tagList(
selectInput(NS(id, "value"), "Chose Value", letters)
)
}
# Module Server
obj_Server <- function(id) {
moduleServer(id, function(input, output, session) {
obj <- reactiveVal(objR6$new(id))
observeEvent(input$value, {
newObj <- obj()$clone()
newObj$selectec_value <- input$value
obj(newObj)
})
return(reactive(obj()))
})
}
# Shiny App
ui <- fluidPage(
fluidPage(
selectInput("objSelection", "Select Object",
choices = "",
selectize = FALSE,
size = 10),
actionButton("addObject", "Add Object"),
actionButton("rmvObject", "Remove Object"),
tabsetPanel(id = "objTP"),
verbatimTextOutput("displayValues")
)
)
server <- function(input, output, session) {
objCount <- reactiveVal(0)
objCollection <- reactiveValues(objects = list())
# Reaction on action button "addObject"
observeEvent(input$addObject, {
# Add another item
objCount(objCount() + 1)
newObjName <- paste0("Object_", objCount())
updateSelectInput(session, "objSelection", choices = c(paste0("Object_", 1:objCount())))
# Append the object tabset panel
appendTab("objTP", tabPanel(newObjName, obj_UI(newObjName)), select = TRUE)
})
# Reaction on action button "rmvObject"
observeEvent(input$rmvObject, {
delObjName <- paste0("Object_", objCount())
objCount(objCount() - 1)
updateSelectInput(session, "objSelection", choices = c(paste0("Object_", 1:objCount())))
removeTab("objTP", target = delObjName)
})
# Implement the server side of module
observeEvent(objCount(), {
if (objCount() > 0) {
for (i in 1:objCount()) {
identifier <- paste0("Object_", i)
observeEvent(obj_Server(identifier), {
objCollection$objects[[identifier]] <- obj_Server(identifier)
})
}
}
# Ouput the selected values
output$displayValues <- renderPrint({
reactiveValuesToList(objCollection)
})
})
}
shinyApp(ui, server)
The following minimal reproducible example is an answer to the problem above. In comparison to the code above I corrected a typo in the server function of the module and also put the initialization of the server part in the observeEvent for the input$addObject and removed the observeEvent for objCount().
library(shiny)
library(R6)
# Simple R6 object
objR6 <- R6::R6Class(
"objR6",
public = list(
identifier = NULL,
selected_value = NULL,
initialize = function(identifier) {
self$identifier <- identifier
}
)
)
# Module Ui
obj_UI <- function(id) {
tagList(
selectInput(NS(id, "value"), "Chose Value", letters)
)
}
# Module Server
obj_Server <- function(id) {
moduleServer(id, function(input, output, session) {
obj <- reactiveVal(objR6$new(id))
observeEvent(input$value, {
newObj <- obj()$clone()
newObj$selected_value <- input$value
obj(newObj)
})
return(reactive(obj()))
})
}
# Shiny App
ui <- fluidPage(
fluidPage(
selectInput("objSelection", "Select Object",
choices = "",
selectize = FALSE,
size = 10),
actionButton("addObject", "Add Object"),
actionButton("rmvObject", "Remove Object"),
tabsetPanel(id = "objTP"),
verbatimTextOutput("displayValues")
)
)
server <- function(input, output, session) {
objCount <- reactiveVal(0)
objCollection <- reactiveValues(objects = list())
# Reaction on action button "addObject"
observeEvent(input$addObject, {
# Add another item
objCount(objCount() + 1)
newObjName <- paste0("Object_", objCount())
updateSelectInput(session, "objSelection", choices = c(paste0("Object_", 1:objCount())))
# Append the object tabset panel
appendTab("objTP", tabPanel(newObjName, obj_UI(newObjName)), select = TRUE)
# Add the server component of the module
observeEvent(obj_Server(newObjName), {
objCollection$objects[[newObjName]] <- obj_Server(newObjName)
})
})
# Reaction on action button "rmvObject"
observeEvent(input$rmvObject, {
delObjName <- paste0("Object_", objCount())
if (objCount() > 0) {
objCount(objCount() - 1)
removeTab("objTP", target = delObjName)
objCollection$objects[[delObjName]] <- NULL
if (objCount() > 0) {
updateSelectInput(session, "objSelection", choices = c(paste0("Object_", 1:objCount())))
} else {
updateSelectInput(session, "objSelection", choices = "")
}
}
})
# Ouput the selected values
output$displayValues <- renderPrint({
lapply(reactiveValuesToList(objCollection)$objects, function(i) {i()})
})
}
shinyApp(ui, server)
It would be great some one could help on below requirement.
url <- "https://bbolker.github.io/mpha_2019/gapminder_index.csv"
dt <- fread(url)
# UI
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
textInput("newcolumnname", "Custom Attribute Name"),
selectInput("formula", "Enter Custom Formula", choices = unique(names(dt)), multiple = TRUE),
actionButton("addnewcolumn", "Add new column")
),
mainPanel(
DT::DTOutput("data_tbl")
)
)
)
#SERVER
server <- function(input, output, session) {
reactive_dt <- eventReactive(input$addnewcolumn, {
if (input$newcolumnname != "" &&
!is.null(input$newcolumnname) && input$addnewcolumn > 0) {
#newcolval <- dt$input$formula
newcolval <- dt[,input$formula]
newcol <- data.table(newcolval)
names(newcol) <- input$newcolumnname
dt <<- cbind(dt, newcol)
}
dt
})
output$data_tbl <- DT::renderDT({ head(reactive_dt(),5) })
}
#Run the Shiny App to Display Webpage
shinyApp(ui = ui, server = server)
Requirement details:-
would like to concatenate the values of "Category/Provider" attribute values under new column called "Category_provider", unfortunately instead of values it's showing attribute names in UI table. what would be the correction in my code to achieve the requirement.
Try this,
url <- "https://bbolker.github.io/mpha_2019/gapminder_index.csv"
dt <- as.data.frame(fread(url))
# UI
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
textInput("newcolumnname", "Custom Attribute Name"),
selectInput("formula", "Enter Custom Formula", choices = unique(names(dt)), multiple = TRUE),
actionButton("addnewcolumn", "Add new column")
),
mainPanel(
DT::DTOutput("data_tbl")
)
)
)
#SERVER
server <- function(input, output, session) {
reactive_dt <- eventReactive(input$addnewcolumn, {
if (input$newcolumnname != "" &&
!is.null(input$newcolumnname) && input$addnewcolumn > 0) {
newcol <- apply(dt[,input$formula] , 1, function(x) paste(x, collapse = "_"))
cn <-colnames(dt)
dt <<- data.frame(dt, newcol)
colnames(dt) <- c(cn,input$newcolumnname)
}
dt
})
output$data_tbl <- DT::renderDT({ head(reactive_dt(),5) })
}
#Run the Shiny App to Display Webpage
shinyApp(ui = ui, server = server)
I am developing the Shiny app and I am unable to sum the values entered in dynamically created textInput.
The RCode used is as follows:
ui <- fluidPage(
fluidRow(
column(3, offset = 3,wellPanel(textOutput("text2"))),
column(3,wellPanel(textOutput("text3"))),
column(3,wellPanel(textOutput("text4")))
)
)
server <- function(input, output, session){
observeEvent(input$view, {
output$inputGroup = renderUI({
#code for generating textBoxes and corresponding Id's dynamically
input_list <- lapply(1:(nrow(df())*3), function(i) {
inputName <- paste("id", i, sep = "")
textInputRow<-function (inputId,value)
{
textAreaInput(inputName,"", width = "200px", height = "43px", resize = "horizontal")
}
column(4,
textInputRow(inputName, "")
)
})
do.call(tagList, input_list)
})
})
#code for adding the values and displaying the sum
output$text2 <- renderText({
tot = nrow(df())*3
sum1 = 0
for(lim in 1:tot){
if(lim %% 3 == 1){
inp = paste("id",lim)
sum1 = sum1 + input[[inp]]
}
}
})
}
shinyApp(ui = ui, server = server)
The output is :
Can anyone help me with this code?
While your question is modified, Here's a reproducible code for summing values entered in the textbox:
## Only run examples in interactive R sessions
if (interactive()) {
ui <- fluidPage(
textInput("input1", "Input1", 1),
textInput("input2", "Input2", 2),
tags$h3('Result:'),
verbatimTextOutput("value")
)
server <- function(input, output) {
output$value <- renderText({ as.numeric(input$input1) + as.numeric(input$input2)})
}
shinyApp(ui, server)
}
I am trying to dynamically render multiple text output from multiple text input. I tried to use this very helpfull example and this one too.
This conversation is also helpfull.
But when I try to adapt this examples on the following script, I have a problem of output update. Apparently, only the last element was read and updated. It's probably a reactivity problem but it seems to be difficult to associate reactive{()} and renderUI{()}functions.
rm(list = ls())
library(shiny)
creatDataElem <- function(ne, input) {
x1 <- lapply(1:ne, function(i) {
textInput(paste0("elemName", i),
label = h4(strong("Name of dataset element")),
value = "")
})
return(x1)
}
ui = (fluidPage(
sidebarLayout(
sidebarPanel(
sliderInput("elemNb",
"Number of elements", value = 1, min = 1,
max = 3)
,
conditionalPanel(
condition = "input.elemNb == 1",
creatDataElem(1)
),
conditionalPanel(
condition = "input.elemNb == 2",
creatDataElem(2)
),
conditionalPanel(
condition = "input.elemNb == 3",
creatDataElem(3)
)
),
mainPanel(
uiOutput("nameElem")
)
)
)
)
server = function(input, output, session) {
max_elem <- 3
# Name
output$nameElem <-renderUI({
nameElem_output_list <- lapply(1:input$elemNb, function(i) {
elemName <- paste0("elemName", i)
tags$div(class = "group-output",
verbatimTextOutput(elemName)
)
})
do.call(tagList, nameElem_output_list)
})
for (i in 1:max_elem) {
local({
force(i)
my_i <- i
elemName <- paste0("elemName", my_i)
output[[elemName]] <- renderPrint(input[[elemName]])
})
}
}
runApp(list(ui = ui, server = server))
The idea with a reactive({}) function is to add an independant object (a function in this case) like:
nameElem <- reactive({
if (input$goElem == 0) {
return()
} else {
isolate({
if (is.null(input$elemName)) {
return()
} else if (test(input$elemName)) {
return("TEST RESULT")
} else {
return(input$elemName)
}
})
}
})
and to use renderUI on this object (with an ActionButton).
So, if someone knows why the output does not return the good object...
I think one of your problems is that your creatDataElem function is such that when it is called with argument ne=3, the first and second textInput elements are created again (and their value "lost").
Anyway, I think one solution would be to create those textInput elements as an "uiOutput".
You'll find a possible solution below which (I think) does what you want.
Lise
rm(list = ls())
library(shiny)
ui = (fluidPage(
sidebarLayout(
sidebarPanel(
sliderInput("elemNb",
"Number of elements", value = 1, min = 1,
max = 3),
uiOutput("myUI")
),
mainPanel(
uiOutput("nameElem")
)
)
)
)
server = function(input, output, session) {
output$myUI=renderUI({
w=""
for (i in 1:input$elemNb){
w=paste0(w,
textInput(paste0("elemName",i),label='Name of dataset element'))
}
HTML(w)
})
output$nameElem <-renderUI({
elems=c("<div>")
for(i in 1:input$elemNb){
elems=paste(elems,"</div><div>",input[[paste0("elemName",i)]])
}
elems=paste0(elems,"</div>")
HTML(elems)
})
}
runApp(list(ui = ui, server = server))
Found a solution:
library(readr)
library(dplyr)
library(shiny)
df <- data.frame(symbol = 1:10)
uiOutput("myUI")
createUI <- function(dfID, symbol) {
div(class="flex-box",paste0(symbol, " - 10"))
}
output$myUI <- renderUI({
w <- lapply(seq_len(nrow(df)), function(i) {
createUI(i, df[i,"symbol"])
})
do.call(fluidPage,w)
})