Showing and hiding inputs based on checkboxGroupInput - r

My shiny app begins with a checkboxGroupInput which contains the names of three companies: A, B and C. It also has 3 hidden numeric inputs, each corresponding to a company. Potential investors may select the name of the company they wish to invest in and specifiy the amount they are willing to invest. When the name of a company is checked, the corresponding numeric input shows up. Also, when the company name is unchecked, the numeric input disappears.
The checkboxGroupInput is called company. The 3 numericInput fields are respectively called amountA, amountB and amountC and are all generated inside a uiOutput. They are hidden with the hidden function of shinyjs.
library(shiny)
library(shinyjs)
library(magrittr)
ui <- fluidPage(
useShinyjs(),
checkboxGroupInput(inputId = "company", label = "Select a company", choices = LETTERS[1:3]),
uiOutput(outputId = "amounts")
)
server <- function(input, output){
company_names <- LETTERS[1:3]
num_ids <- paste0("amount", LETTERS[1:3])
output$amounts <- renderUI({
num_inputs <- lapply(1:3, function(i){
numericInput(inputId = num_ids[i], label = paste0("Investment in ", company_names[i]), value = 0, min = 0, max = 5000)
}) %>% tagList
shinyjs::hidden(num_inputs)
})
observeEvent(eventExpr = input$company, handlerExpr = {
if(length(input$company) == 0){
for(i in num_ids){
shinyjs::hide(id = i)
}
} else {
for(i in input$company){
shinyjs::toggle(id = paste0("amount", i), condition = input$company)
}
}
})
}
shinyApp(ui = ui, server = server)
The problem with my app is that the intended dynamics between the checkboxGroupInput and the numericInput fields are not working as intended. For instance, once a numericInput is shown, it cannot be hidden anymore by unchecking the boxes. How can I handle this?
The code pasted above is fully functional. Thank you very much.

I fixed your code by explicitly show/hide the numericInput when the corresponding check box is selected/unselected. Also I change the observeEvent with observe to make sure that the observer reacts when none of the check boxes are selected.
library(shiny)
library(shinyjs)
library(magrittr)
ui <- fluidPage(
useShinyjs(),
checkboxGroupInput(inputId = "company", label = "Select a company", choices = LETTERS[1:3]),
uiOutput(outputId = "amounts")
)
server <- function(input, output){
company_names <- LETTERS[1:3]
num_ids <- paste0("amount", LETTERS[1:3])
output$amounts <- renderUI({
num_inputs <- lapply(1:3, function(i){
numericInput(inputId = num_ids[i], label = paste0("Investment in ", company_names[i]), value = 0, min = 0, max = 5000)
}) %>% tagList
shinyjs::hidden(num_inputs)
})
observe({
for(i in company_names){
if (i %in% input$company) {
shinyjs::show(id = paste0("amount", i))
} else {
shinyjs::hide(id = paste0("amount", i))
}
}
})
}
shinyApp(ui = ui, server = server)

Related

How to count number of times the selectInput box is clicked?

The below MWE code uses observeEvent() functions and reactiveVal() to track and show the number of times the selectInput() box is clicked and the number of times the actionButton() is clicked.
The actionButton() tracking works fine. Note how in output$... in the code the selectInput() and actionButton() work differently, looks weird to me.
Anyhow, I'm having trouble having selectInput() track the same as actionButton(). When the App is first invoked, the user clicking the first option rendered ("Cyl") in the selectInput() box is not counted as a click, when I would like it to count as a click. And if the same choice is clicked in the selectInput() ("Trans" for example) more than once, the clicks > 1 aren't counted as clicks when I would each click to be counted. Basically, anytime the user clicks in the selectInput() box it needs to be included as a "click". Is there any way to do this?
In the full code this matters because the selectInput() in that box triggers a removeUI() and the list of choices is dynamic and sequentially renumbered with every click.
Code:
library(shiny)
ui = fluidPage(hr(),
selectInput("selInput",label=NULL,c("Cyl"="cyl","Trans"="am","Gears"="gear"),selected=NULL),
actionButton("addBtn","Add"), hr(),
textOutput("clickSelInput"),
textOutput("clickAddBtn"),
tableOutput("data")
)
server = function(input, output) {
x = reactiveVal(0)
y = reactiveVal(0)
output$data <- renderTable({mtcars[1:10, c("mpg", input$selInput), drop = FALSE]})
observeEvent(input$selInput,{x(x()+1)})
observeEvent(input$addBtn,{y(y()+1)})
output$clickSelInput <- renderText({paste('Select Input clicks =',x()-1)})
output$clickAddBtn <- renderText({paste('Add Button clicks =',y())})
}
shinyApp(ui, server)
Adding "multiple = TRUE" to the selectInput() in this case resolves the question. Also allow the removal of the weird -1 from the out$selInput..x()-1)}) in the OP. This also works fine for the larger App this is intended for. See revised OP code with changes from OP commented (further down is the "larger App" where this functionality matters):
library(shiny)
ui = fluidPage(hr(),
selectInput("selInput",
label=NULL,
c("Cyl"="cyl","Trans"="am","Gears"="gear"),
selected=NULL,
multiple=TRUE # added this
),
actionButton("addBtn","Add"), hr(),
textOutput("clickSelInput"),
textOutput("clickAddBtn"),
tableOutput("data")
)
server = function(input, output) {
x = reactiveVal(0)
y = reactiveVal(0)
output$data <- renderTable({mtcars[1:10, c("mpg", input$selInput), drop = FALSE]})
observeEvent(input$selInput,{x(x()+1)})
observeEvent(input$addBtn,{y(y()+1)})
output$clickSelInput <- renderText({paste('Select Input clicks =',x())}) # removed the -1 from x()
output$clickAddBtn <- renderText({paste('Add Button clicks =',y())})
}
shinyApp(ui, server)
And here's the "larger App" where this functionality matters:
library(dplyr)
library(rhandsontable)
library(shiny)
rowNames1 <- c("A", "B", "C", "Sum")
DF1 <- data.frame(row.names = rowNames1, "Col 1" = c(1, 1, 0, 2), check.names = FALSE)
ui <- fluidPage(br(),
rHandsontableOutput('hottable1'),br(),
actionButton("addCol1", "Add column 1"),br(),
h5(strong("Select column to delete:")),
uiOutput("delCol1"), hr(),
textOutput("clickSelInput"),
textOutput("clickAddBtn"),
)
server <- function(input, output) {
x = reactiveVal(0)
y = reactiveVal(0)
uiTbl1 <- reactiveVal(DF1)
observeEvent(input$hottable1, {uiTbl1(hot_to_r(input$hottable1))})
output$hottable1 <- renderRHandsontable({
rhandsontable(uiTbl1(),rowHeaderWidth = 100, useTypes = TRUE)%>%
hot_context_menu(allowRowEdit = FALSE, allowColEdit = FALSE)
})
observeEvent(input$addCol1, {
newCol <- data.frame(c(1,1,0,2))
names(newCol) <- paste("Col", ncol(hot_to_r(input$hottable1)) + 1)
uiTbl1(cbind(uiTbl1(), newCol))
})
observeEvent(input$delCol1, {
tmp <- uiTbl1()
delCol <- input$delCol1
tmp <- tmp[ , !(names(tmp) %in% delCol), drop = FALSE]
newNames <- sprintf("Col %d",seq(1:ncol(tmp)))
names(tmp) <- newNames
uiTbl1(tmp)
})
output$delCol1 <-
renderUI(
selectInput(
"delCol1",
label = NULL,
choices = colnames(hot_to_r(input$hottable1)),
selected = "",
multiple = TRUE)
)
observeEvent(input$delCol1,{x(x()+1)})
observeEvent(input$addCol1,{y(y()+1)})
output$clickSelInput <- renderText({paste('Select Input clicks =',x())})
output$clickAddBtn <- renderText({paste('Add Button clicks =',y())})
}
shinyApp(ui,server)

How to add a spinner before a selectizeInput has loaded all the choices? [Shiny]

I want to make an app with 2 actionButtons: 1) to submit the changes before loading a selectizeInput and 2) to draw the plot.
I know how to add a spinner after clicking a actionButton but the majority of the cases is added when you want to show the plot.
However, is it possible to add a spinner without showing any plot?
In this particular case, I want to show a spinner after clicking "Submit" until the selectizeInput from the 'Selection tab' is loaded. As you can see the example that I attach, it takes a bit to load all the choices (since the file has 25000 rows).
I already have one spinner after clicking the second actionButton (Show the plot) but I need one more.
I have created an example, but for some reason the plot is not shown in the shiny app and it appears in the window from R (I don't know why but I added the plot just to show you how I put the second spinner. I want a similar one but with the first actionButton.).
library(shiny)
library(shinycssloaders)
ui <- fluidPage(
titlePanel("My app"),
sidebarLayout(
sidebarPanel(
tabsetPanel(
tabPanel("Submit",
checkboxInput("log2", "Log2 transformation", value = FALSE),
actionButton("submit", "Submit")
),
tabPanel("Selection",
br(),
selectizeInput(inputId = "numbers", label = "Choose one number:", choices=character(0)),
actionButton("show_plot", "Show the plot")
))
),
mainPanel(
conditionalPanel(
condition = "input.show_plot > 0",
style = "display: none;",
withSpinner( plotOutput("hist"),
type = 5, color = "#0dc5c1", size = 1))
)
)
)
server <- function(input, output, session) {
data <- reactive({
data = read.csv("https://people.sc.fsu.edu/~jburkardt/data/csv/hw_25000.csv")
data[,1] <- as.character(data[,1])
if(input$log2 == TRUE){
cols <- sapply(data, is.numeric)
data[cols] <- lapply(data[cols], function(x) log2(x+1))
}
return(data)
})
mylist <- reactive({
req(data())
data <- data()
data <- data[,1]
return(data)
})
# This is to generate the choices (gene list) depending on the user's input.
observeEvent(input$submit, {
updateSelectizeInput(
session = session,
inputId = "numbers",
choices = mylist(), options=list(maxOptions = length(mylist()))
)
})
v <- reactiveValues()
observeEvent(input$show_plot, {
data <- data()
v$plot <- plot(x=data[,1], y=data[,2])
})
# If the user didn't choose to see the plot, it won't appear.
output$hist <- renderPlot({
req(data())
if (is.null(v$plot)) return()
if(input$show_plot > 0){
v$plot
}
})
}
Does anyone know how to help me, please?
Thanks very much
It's a little tricky.
First of all I'd update the selectizeInput on the server side as the warning suggests:
Warning: The select input "numbers" contains a large number of
options; consider using server-side selectize for massively improved
performance. See the Details section of the ?selectizeInput help
topic.
Furthermore I switched to ggplot2 regarding the plotOutput - Please see this related post.
To show the spinner while the selectizeInput is updating choices we'll need to know how long the update takes. This information can be gathered via shiny's JS events - please also see this article.
Finally, we can show the spinner for a non-existent output, so we are able to control for how long the spinner is shown (see uiOutput("dummyid")):
library(shiny)
library(shinycssloaders)
library(ggplot2)
ui <- fluidPage(
titlePanel("My app"),
tags$script(HTML(
"
$(document).on('shiny:inputchanged', function(event) {
if (event.target.id === 'numbers') {
Shiny.setInputValue('selectizeupdate', true, {priority: 'event'});
}
});
$(document).on('shiny:updateinput', function(event) {
if (event.target.id === 'numbers') {
Shiny.setInputValue('selectizeupdate', false, {priority: 'event'});
}
});
"
)),
sidebarLayout(
sidebarPanel(
tabsetPanel(
tabPanel("Submit",
checkboxInput("log2", "Log2 transformation", value = FALSE),
actionButton("submit", "Submit")
),
tabPanel("Selection",
br(),
selectizeInput(inputId = "numbers", label = "Choose one number:", choices=NULL),
actionButton("show_plot", "Show the plot")
))
),
mainPanel(
uiOutput("plotProxy")
)
)
)
server <- function(input, output, session) {
previousEvent <- reactiveVal(FALSE)
choicesReady <- reactiveVal(FALSE)
submittingData <- reactiveVal(FALSE)
observeEvent(input$selectizeupdate, {
if(previousEvent() && input$selectizeupdate){
choicesReady(TRUE)
submittingData(FALSE)
} else {
choicesReady(FALSE)
}
previousEvent(input$selectizeupdate)
})
data <- reactive({
data = read.csv("https://people.sc.fsu.edu/~jburkardt/data/csv/hw_25000.csv")
if(input$log2 == TRUE){
cols <- sapply(data, is.numeric)
data[cols] <- lapply(data[cols], function(x) log2(x+1))
}
return(data)
})
mylist <- reactive({
req(data()[,1])
})
observeEvent(input$submit, {
submittingData(TRUE)
reactivePlotObject(NULL) # reset
updateSelectizeInput(
session = session,
inputId = "numbers",
choices = mylist(), options=list(maxOptions = length(mylist())),
server = TRUE
)
})
reactivePlotObject <- reactiveVal(NULL)
observeEvent(input$show_plot, {
reactivePlotObject(ggplot(data(), aes_string(x = names(data())[1], y = names(data())[2])) + geom_point())
})
output$hist <- renderPlot({
reactivePlotObject()
})
output$plotProxy <- renderUI({
if(submittingData() && !choicesReady()){
withSpinner(uiOutput("dummyid"), type = 5, color = "#0dc5c1", size = 1)
} else {
conditionalPanel(condition = "input.show_plot > 0", withSpinner(plotOutput("hist"), type = 5, color = "#0dc5c1", size = 1), style = "display: none;")
}
})
}
shinyApp(ui, server)
First 100 rows of your example data (dput(head(data, 100)) - your link might be offline some day):
structure(list(Index = 1:100, Height.Inches. = c(65.78331, 71.51521,
69.39874, 68.2166, 67.78781, 68.69784, 69.80204, 70.01472, 67.90265,
66.78236, 66.48769, 67.62333, 68.30248, 67.11656, 68.27967, 71.0916,
66.461, 68.64927, 71.23033, 67.13118, 67.83379, 68.87881, 63.48115,
68.42187, 67.62804, 67.20864, 70.84235, 67.49434, 66.53401, 65.44098,
69.5233, 65.8132, 67.8163, 70.59505, 71.80484, 69.20613, 66.80368,
67.65893, 67.80701, 64.04535, 68.57463, 65.18357, 69.65814, 67.96731,
65.98088, 68.67249, 66.88088, 67.69868, 69.82117, 69.08817, 69.91479,
67.33182, 70.26939, 69.10344, 65.38356, 70.18447, 70.40617, 66.54376,
66.36418, 67.537, 66.50418, 68.99958, 68.30355, 67.01255, 70.80592,
68.21951, 69.05914, 67.73103, 67.21568, 67.36763, 65.27033, 70.84278,
69.92442, 64.28508, 68.2452, 66.35708, 68.36275, 65.4769, 69.71947,
67.72554, 68.63941, 66.78405, 70.05147, 66.27848, 69.20198, 69.13481,
67.36436, 70.09297, 70.1766, 68.22556, 68.12932, 70.24256, 71.48752,
69.20477, 70.06306, 70.55703, 66.28644, 63.42577, 66.76711, 68.88741
), Weight.Pounds. = c(112.9925, 136.4873, 153.0269, 142.3354,
144.2971, 123.3024, 141.4947, 136.4623, 112.3723, 120.6672, 127.4516,
114.143, 125.6107, 122.4618, 116.0866, 139.9975, 129.5023, 142.9733,
137.9025, 124.0449, 141.2807, 143.5392, 97.90191, 129.5027, 141.8501,
129.7244, 142.4235, 131.5502, 108.3324, 113.8922, 103.3016, 120.7536,
125.7886, 136.2225, 140.1015, 128.7487, 141.7994, 121.2319, 131.3478,
106.7115, 124.3598, 124.8591, 139.6711, 137.3696, 106.4499, 128.7639,
145.6837, 116.819, 143.6215, 134.9325, 147.0219, 126.3285, 125.4839,
115.7084, 123.4892, 147.8926, 155.8987, 128.0742, 119.3701, 133.8148,
128.7325, 137.5453, 129.7604, 128.824, 135.3165, 109.6113, 142.4684,
132.749, 103.5275, 124.7299, 129.3137, 134.0175, 140.3969, 102.8351,
128.5214, 120.2991, 138.6036, 132.9574, 115.6233, 122.524, 134.6254,
121.8986, 155.3767, 128.9418, 129.1013, 139.4733, 140.8901, 131.5916,
121.1232, 131.5127, 136.5479, 141.4896, 140.6104, 112.1413, 133.457,
131.8001, 120.0285, 123.0972, 128.1432, 115.4759)), row.names = c(NA,
100L), class = "data.frame")

How to restart an lapply loop within a renderUI

I am trying to create a shiny code that is able to filter a table non pre-determined number of times. When the user uploads a different (new) table, unfortunately the code breaks as I need to restart a lapply loop somehow, throwing out the previously stored column names.
I would like to create an non pre-defined filtering options for a table within Shiny. The user can select a column and filter a table choosing different categorical variables within that column. It is possible to add additional selection fields by pressing the 'Add' button.
the UI:
library(shiny)
library(shinydashboard)
library(dplyr)
ui <- shinyUI(
pageWithSidebar(
headerPanel("testing of dynamic number of selection"),
sidebarPanel(
uiOutput("buttons")),
mainPanel(
uiOutput("drops")
,tableOutput("table")
)
))
The server:
A table (test.csv) is automatically stored in a reactive values and a first searching field appears with 3 buttons (Add = to add a new searching field by reading in the colnames and a multiselect that stores the unique variables from that columns. The filtering function is activated by the Calculate button)
server<-function(input, output, session) {
###### read in test file
values<-reactiveValues(number = 1,
upload = NULL,
input = NULL)
values$upload<-read.csv("test.csv")
#just the "add" button, in this instance it shouldn't be a uiOutput
output$buttons <- renderUI({
div(
actionButton(inputId = "add", label = "Add"), actionButton(inputId = "calc", label = "Calculate"),
actionButton(inputId = "new", label = "new table")
)
})
#pressing the add button
observeEvent(input$add, {
cat("i adding a new record\n")
values$number <- values$number + 1L })
daStuff <- function(i){
inputName<-paste0("drop", i)
inputName2<-paste0("select", i)
inputText<-if(values$number>0){input[[paste0("drop",i)]]}else{F} # previously selected value for dropdown
inputSelect <- if(values$number>1){input[[paste0("select",i)]]}else{F} # previously selected value for dropdown
fluidRow(
column(6,selectInput(inputName, inputName, c(colnames(values$upload)), selected = inputText)),
column(6,selectInput(inputName2, inputName2,
na.omit(unique(as.vector(values$upload[,input[[paste0("drop",i)]]]))),
multiple=TRUE, selectize=TRUE, selected=inputSelect)) )}
output$drops<- renderUI({
lapply(seq_len(values$number), daStuff)})
By pressing the Calculate button, the uploaded table is subjected to filtering, depending on the selected unique values and shown in the output$table
observeEvent(input$calc, {
values$input<-NULL
for (i in 1:values$number){
if(!is.null(input[[paste0("select",i)]])){
if(is.null(values$input)){
values$input<- filter(values$upload,values$upload[,input[[paste0("drop",i)]]] %in% input[[paste0("select",i)]])}
else{
values$input<- filter(values$input,values$input[,input[[paste0("drop",i)]]] %in% input[[paste0("select",i)]])}
} }
if (is.null(values$input)){values$input<-values$upload}
output$table <- renderTable({values$input})
})
My problem is when I upload a new table (test2.csv), I don't know how to erase the previously stored selections (drop* and select* values) and gives back an error message.
observeEvent(input$new,{
values$upload<-read.csv("test2.csv")
})
}
shinyApp(ui=ui, server = server)
I suppose I should stop somehow the lapply loop and restart it over, so the previously stored values are replaced depending on the new selection, but I am a bit stuck on how I could achieve that.
Just in case you might still be looking for solutions, I wanted to share something that was similar and could potentially be adapted for your needs.
This uses observeEvent for all select inputs. If it detects any changes, it will update all inputs, including the possibilities for select based on drop.
In addition, when a new file is read, the selectInput for drop and select are reset to first value.
Edit: I forgot to keep selected = input[[paste0("drop",i)]] in place for the dropdown (see revised code). It seems to keep the values now when new filters are added - let me know if this is what you had in mind.
library(shiny)
library(shinydashboard)
library(dplyr)
myDataFrame <- read.csv("test.csv")
ui <- shinyUI(
pageWithSidebar(
headerPanel("Testing of dynamic number of selection"),
sidebarPanel(
fileInput("file1", "Choose file to upload", accept = ".csv"),
uiOutput("buttons")
),
mainPanel(
uiOutput("inputs"),
tableOutput("table")
)
)
)
server <- function(input, output, session) {
myInputs <- reactiveValues(rendered = c(1))
myData <- reactive({
inFile <- input$file1
if (is.null(inFile)) {
d <- myDataFrame
} else {
d <- read.csv(inFile$datapath)
}
d
})
observeEvent(lapply(paste0("drop", myInputs$rendered), function(x) input[[x]]), {
for (i in myInputs$rendered) {
updateSelectInput(session,
paste0('select', i),
choices = myData()[input[[paste0('drop', i)]]],
selected = input[[paste0("select",i)]])
}
})
output$buttons <- renderUI({
div(
actionButton(inputId = "add", label = "Add"),
actionButton(inputId = "calc", label = "Calculate")
)
})
observeEvent(input$add, {
myInputs$rendered <- c(myInputs$rendered, max(myInputs$rendered)+1)
})
observeEvent(input$calc, {
showData <- NULL
for (i in 1:length(myInputs$rendered)) {
if(!is.null(input[[paste0("select",i)]])) {
if(is.null(showData)) {
showData <- filter(myData(), myData()[,input[[paste0("drop",i)]]] %in% input[[paste0("select",i)]])
}
else {
showData <- filter(showData, showData[,input[[paste0("drop",i)]]] %in% input[[paste0("select",i)]])
}
}
}
if (is.null(showData)) { showData <- myData() }
output$table <- renderTable({showData})
})
observe({
output$inputs <- renderUI({
rows <- lapply(myInputs$rendered, function(i){
fluidRow(
column(6, selectInput(paste0('drop',i),
label = "",
choices = colnames(myData()),
selected = input[[paste0("drop",i)]])),
column(6, selectInput(paste0('select',i),
label = "",
choices = myData()[1],
multiple = TRUE,
selectize = TRUE))
)
})
do.call(shiny::tagList, rows)
})
})
}
shinyApp(ui, server)

R Shiny: How To Create A Remove Button

What I have learnt from the differences between the ADD and REMOVE Button.
As we can see from the codes below, the main difference is how the ADD and REMOVE buttons affect the scenarios line. The REMOVE button effectively uses the scenarios[-length(scenarios)] command to remove the immediate last scenario while keeping the other codes constant with the ADD button.
A very simple one-line code solution, and yet elegant approach to solve the problem. I learned alot again. Thank you all.
observeEvent(input$add, {
if (!(shock %in% scenarios)) {
scenarios <<- sort(c(scenarios, shock))
updateCheckboxGroupInput(session, "scenarios",choices = scenarios,selected = scenarios)
}
observeEvent(input$remove,{
scenarios <<- scenarios[-length(scenarios)]
updateCheckboxGroupInput(session, "scenarios",choices = scenarios,selected = scenarios)
})
This should do:
library(shiny)
ui <- fluidPage(
numericInput("shock", "Shock", value = round(runif(1) * 1000), 0),
actionButton("add", "Add"),
actionButton("remove", "Remove"),
checkboxGroupInput("scenarios", "Scenarios", choices = c(), selected = c()),
verbatimTextOutput("o1")
)
scenarios <- c(-100, -50, 0, 50, 100)
server <- function(input, output, session) {
updateCheckboxGroupInput(session, "scenarios",
choices = scenarios,
selected = scenarios)
observeEvent(input$add,{
shock <- isolate(input$shock)
if (!(shock %in% scenarios)) {
scenarios <<- sort(c(scenarios, shock))
updateCheckboxGroupInput(session, "scenarios",choices = scenarios,selected = scenarios)
}
# put a new random value
updateNumericInput(session, "shock", value = round(runif(1) * 1000))
})
observeEvent(input$remove,{
scenarios <<- scenarios[-length(scenarios)]
updateCheckboxGroupInput(session, "scenarios",choices = scenarios,selected = scenarios)
})
output$o1 <- renderPrint({
x <- input$scenarios
str(x)
cat(paste0("length: ", length(x), "\n"))
cat(paste0(x, "\n"))
})
}
shinyApp(ui, server)

Changing Numeric Inputs to 0 if Check Box is Unchecked

I was wondering if it was possible to set the value of a numeric input via updateNumericInput to be equal to 0 if a checkbox is not clicked. Below is how my code is set up at the moment to generate the check boxes and numeric inputs. I had to use loops to create a dynamic number of check boxes and inputs due to the nature of the app so I would really appreciate any help linking the two while keeping the functionality.
Server file:
shinyServer(function(input, output, session) {
output$inputs1 <- renderUI({
numSliders <- input$sources
lapply(1:numSliders, function(i) {
numericInput(
inputId = paste0('slider1', i),
label = df[i,2],
value = df[i,3]*(input$budget)/100)
})
})
output$checks1 <- renderUI({
numSliders <- input$sources
lapply(1:numSliders, function(i) {
checkboxInput(
inputId = paste0('check1', i),
label = df[i,2],
value = TRUE
)
})
})
}
UI:
shinyUI(fluidPage(fluidRow(
sidebarLayout(
sidebarPanel(
column(5,numericInput("budget", "Budget", value = 0),
uiOutput("checks1")),
column(5,uiOutput("inputs1"))),
mainPanel()
)
)
)
)
Please let me know if there is any sort of workaround for this.
Thanks in advance!
Since you can only generate a finite number of widgets the easiest way of creating an observer for each checkboxInput is to create a global variable, say, max_widgets which gives an upper bound on widgets. You then restrict the maximal value of numericInput which controls a number of widgets to max_widgets (so input$sources) and require within renderUIs that
req(numSliders > 0 & numSliders <= max_widgets)
(I would use validate and need to inform the user that the number of widgets has to be non negative and is bound to max_widgets but in my shiny version there is a bug and validate doesn't work as supposed.)
You then create observers for each checkboxInput on the server side:
lapply(1:max_widgets, function(i) {
observeEvent(input[[paste0('check', i)]], {
print(paste0("update of numeric", i))
updateNumericInput(session, inputId = paste0('numeric', i),
value = 0)
})
})
Note that this will create observers for all possible checkboxes (checkboxes may not even exist - shiny won't complain :) )
This may not be perfect but, as said, you will have only one observer for each checkbox.
If you dynamically generate observers in a following way (without a global variable max_widgets)
observe({
lapply(1:input$sources, function(i) {
observeEvent(input[[paste0('check', i)]], {
print(paste0("numeric", i, " = ", input[[paste0('numeric', i)]]))
updateNumericInput(session, inputId = paste0('numeric', i),
value = 0)
})
})
it will work too but each time you will generate new widgets you will also create an observer for it. So you may get multiple observers for each checkboxInput!
If your app is small then it won't matter much but in general it may lead to bugs. You can easy deal with it but it makes the code slightly more complicated - there was a question that touched on this problem.
Full example:
library(shiny)
rm(list = ls())
max_widgets <- 15
server <- shinyServer(function(input, output, session) {
output$inputs1 <- renderUI({
numSliders <- input$sources
# My shiny version has a bug and can't use validate(need(...)) because
# it doesn't work as suppossed
req(numSliders > 0 & numSliders <= max_widgets)
lapply(1:numSliders, function(i) {
numericInput(
inputId = paste0('numeric', i),
# label = df[i,2],
paste0("Input ", i),
# value = df[i,3] * (input$budget) / 100)
value = i * (input$budget) / 100)
})
})
output$checks1 <- renderUI({
numSliders <- input$sources
req(numSliders > 0 & numSliders <= max_widgets)
lapply(1:numSliders, function(i) {
list(
checkboxInput(
inputId = paste0('check', i),
# label = df[i,2],
label = paste0("Checkbox ", i),
value = TRUE
),
br()
)
})
})
lapply(1:max_widgets, function(i) {
observeEvent(input[[paste0('check', i)]], {
print(paste0("update of numeric", i))
updateNumericInput(session, inputId = paste0('numeric', i),
value = 0)
})
})
})
ui <- shinyUI(fluidPage(fluidRow(
sidebarLayout(
sidebarPanel(
column(5,
numericInput("budget", "Budget", value = 0),
hr(),
br(),
uiOutput("checks1")
),
column(5,
numericInput("sources", "Sources", value = 0, min = 0, max = max_widgets),
hr(),
uiOutput("inputs1")
)
),
mainPanel()
)
)))
shinyApp(ui, server)

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