I have used the below code to create checkbox from my data.I would like to create slider input for each checkbox I select from the list.For example if the checkbox has 4 variables like "sky","earth","water","fire" and if I select sky, it should dynamically open a slider input for sky and if I select water it should open up one more slider input for water. I tried conditionalPanel,but I have more than 50 variables in my checkbox,so i cannot write condition for all the 50 variables. Is there any generalized method available in shiny?
server
output$choosedigital=renderUI({
if(is.null(bk$variables))
return()
checkboxGroupInput("choosemedia", "Choose digital",
choices = bk$variables,
selected = bk$variables)
})
output$test <- renderUI({
LL <- list(rep(0,length(input$choosedigital)))
for(i in 0:(length(input$choosedigital))) {
LL[i] <- list(sliderInput(inputId = paste(input$choosedigital,i)
, label = paste(input$choosedigital,i),
min=0,max=25,value = 5))
}
return(LL)
})
You want to put your sliderInputs inside a conditionalPanel in the UI and set the condition so that when the relevant checkbox is clicked the the condition equates to TRUE.
e.g.
library(shiny)
myData = c("One", "Two", "Three")
ui <- fluidPage(
checkboxGroupInput("choosemedia", "Choose digital",
choices = myData,
selected = myData),
textOutput("myText"),
conditionalPanel(condition = "input.choosemedia.includes('One')",
sliderInput("sliderOne", "Choose your value", min=0, max=100, value=50)
),
conditionalPanel(condition = "input.choosemedia.includes('Two')",
sliderInput("sliderTwo", "Choose your other value",
min=0, max=50, value=25))
)
# Define server logic
server <- function(input, output) {
output$myText <- renderText({input$choosemedia})
}
# Run the application
shinyApp(ui = ui, server = server)
If long as you know what the content of bk$variables is you can hardcode them, otherwise you'll have to generate these on the fly.
Hope this is enough info to get you going.
Related
Overview
Hello, I am trying to work with displaying different plots using checkboxes within tabsetPanels. I am working with a dynamic amount number of panels, so that is the reason for creating the UI contents within the server portion.
Ideal Output
For each tabPanel:
iris plot outputs if no checkboxes are selected
mtcars plot outputs if Box One is selected
islands plot outputs if Box Two is selected
sleep plot outputs if both Box One and Box Two are selected
What I have tried
-I have tried to use condtionalPanels to try to & capture the cases. I was under the impression that the value returns 'TRUE' if checked & 'FALSE' if unchecked, however I receive NULL for each of the boxed values, even if I set the default value to be checked.
-I believe my underlying issue is my lack of ability to trigger the dynamic checkboxes for each tabPanel
Disclaimer
This is a reproducible example, the default values of originally created tabPanels is set to 5. I did not accommodate proper code if the value were to change for the sake of simplicity.
Sample Code:
ui <- navbarPage(title="Dynamic tabsetPanels",id="navbar",
tabPanel("Home",
textInput(inputId = "numPanels",
label = "Enter # of Panels to produce",
value = 5)
),tabPanel("Analysis",
tabsetPanel(id = "tabs"))
)
server <- function(input, output) {
plotOne = renderPlot({plot(iris)})
plotTwo = renderPlot({plot(mtcars)})
plotThree = renderPlot({plot(islands)})
plotFour = renderPlot({plot(sleep)})
observe({
req(input$numPanels)
lapply(1:input$numPanels,function(i){
tabName = paste("Tab",i,sep=" ")
first = paste0("first",i)
second = paste0("second",i)
appendTab(inputId = "tabs",
tab = tabPanel(
tabName,
fluidPage(
sidebarLayout(
sidebarPanel(
#side-panel code
h2("Features"),
checkboxInput(inputId=first,label="Box One"),
checkboxInput(inputId=second,label="Box Two")
),mainPanel(
#output when nothing clicked
conditionalPanel(
condition = "!glue(input.{first} && !glue(input.{second})",
plotOutput(iris)
),
#output when box one is clicked
conditionalPanel(
condition = "glue(input.{first})",
plotOutput(mtcars)
),
#output when box two is clicked
conditionalPanel(
condition = "glue(input.{second})",
plotOutput(islands)
),
#output when box one and two are clicked
conditionalPanel(
condition = "glue(input.{first}) && glue(input.{second})",
plotOutput(sleep)
)
)
)
)
)
)
})
})
}
shinyApp(ui=ui, server=server)
Any suggestions would be greatly appreciated!
First issue with your code is the use of glue to create your conditions, i.e. you have to do e.g. condition = glue("input.{first}") instead of condition = "glue(input.{first})" to evaluate the glue string. Second issue is that in the plotOutputs you have to use the names of the outputs, e.g. plotOutput("plotOne") instead of plotOutput(iris). Finally, even after fixing these issues your app will not work as desired as you can't use outputs with the same id in several places or tabs, i.e. you get a duplicated id error. To fix that you also have to create a dynamic list of outputs so that the ids are unique.
library(shiny)
library(glue)
ui <- navbarPage(
title = "Dynamic tabsetPanels", id = "navbar",
tabPanel(
"Home",
textInput(
inputId = "numPanels",
label = "Enter # of Panels to produce",
value = 5
)
), tabPanel(
"Analysis",
tabsetPanel(id = "tabs")
)
)
server <- function(input, output) {
observe({
req(input$numPanels)
lapply(1:input$numPanels, function(i) {
output[[paste0("plotOne", i)]] <- renderPlot(plot(iris))
output[[paste0("plotTwo", i)]] <- renderPlot(plot(mtcars))
output[[paste0("plotThree", i)]] <- renderPlot(plot(islands))
output[[paste0("plotFour", i)]] <- renderPlot(plot(sleep))
})
})
observe({
req(input$numPanels)
lapply(1:input$numPanels, function(i) {
tabName <- paste("Tab", i, sep = " ")
first <- paste0("first", i)
second <- paste0("second", i)
appendTab(
inputId = "tabs",
tab = tabPanel(
tabName,
fluidPage(
sidebarLayout(
sidebarPanel(
# side-panel code
h2("Features"),
checkboxInput(inputId = first, label = "Box One"),
checkboxInput(inputId = second, label = "Box Two")
), mainPanel(
# output when nothing clicked
conditionalPanel(
condition = glue("!input.{first} && !input.{second}"),
plotOutput(paste0("plotOne", i))
),
# output when box one is clicked
conditionalPanel(
condition = glue("input.{first}"),
plotOutput(paste0("plotTwo", i))
),
# output when box two is clicked
conditionalPanel(
condition = glue("input.{second}"),
plotOutput(paste0("plotThree", i))
),
# output when box one and two are clicked
conditionalPanel(
condition = glue("input.{first} && input.{second}"),
plotOutput(paste0("plotFour", i))
)
)
)
)
)
)
})
})
}
shinyApp(ui = ui, server = server)
Here's my app displaying a greeting with names and showing the number of letters of the name.
I would like to change the name and rv$len on one single click, but I need to click twice to get the rv$len changed to 4. Is there anything I can do to first update the name to pikapika, then manually change rv$len to 4 with a single click?
Thanks in advance!
library(shiny)
ui <- fluidPage(
titlePanel("Thanks in advance for your help"),
sidebarLayout(
sidebarPanel(
textInput("name", "name of the user", value = "TEST"),
actionButton(inputId = "Example", label = "pikapika as an example"),
),
mainPanel(
verbatimTextOutput("greetings")
)
)
)
server <- function(input, output) {
name <- reactive(input$name)
rv <- reactiveValues(len = 4)
# by default it reads the number of characters
observe({
rv$len <- nchar(name())
})
greeting <- reactive(paste("Hello", name(), "! Your name has", rv$len, "letters."))
output$greetings <- renderPrint(greeting())
# I would like to illustrate with a custom case
observeEvent(input$Example, {
updateTextInput(inputId = "name", value = "pikapika")
rv$len <- 4
})
}
# Run the application
shinyApp(ui = ui, server = server)
Thanks from Pikachu
Probably very basic question - but can't translate similar posts I've found to my exact issue.
Within an R Shiny app, I have a first drop-down menu that is populated by a vector produced on the server - this allows me to make one set of choices.
I want to have a tick box that then introduces a second drop down - but I want that drop down to disappear if I un-tick the tick box.
I've had a go - see MWE below - the graph is just there to keep to the structure of my original code (obviously I'm aware my drop-downs do nothing but that's not the case in the original but wanted the MWE to be as 'M' as possible).
If I remove the removeUI() line then ticking the tick-box does create a new drop down as required - but then un-ticking the tick box fails to remove it.
I'm obviously missing something; any help much appreciated as I totally suck at R Shiny but really want to get better!
library(shiny)
library(shinyMobile)
# define UI elements
ui <- f7Page(
f7SingleLayout(
navbar = f7Navbar(
),
f7Card(htmlOutput("initial_drop_down"), #first drop down
f7checkBox(inputId = "switch", label = "Introduce second choice", FALSE), #tick box for second drop down if required
htmlOutput("reactive_drop_down") #second drop down
),
f7Shadow(
intensity = 16,
f7Card(
plotOutput("distPlot", height = "800px") # plot - originally linked to drop down choices but an arbitrary graph here for simplicity
)
)
)
)
# server calculations
server <- function(input, output) {
library(ggplot2)
# generate first drop down - done on server side since usually choices vector is comprised of information read in from files
output$initial_drop_down = renderUI({
selectInput(inputId = "initial_choice",
label = "First choice:",
choices = c("Choice 1", "Choice 2", "Choice 3"))
})
observeEvent(input$initial_choice, {
# trying to add second drop down based on action in switch - not convinced my use of observeEvent is quite right - issue likely sits in here.
observeEvent(input$switch, {
if(input$switch == T){
output$reactive_drop_down = renderUI({
selectInput(inputId = "second_choice",
label = "Second (dynamic) choice:",
choices = c(1,2,3))
})
}else{
removeUI(selector ="#reactive_drop_down")
}
})
output$distPlot <- renderPlot({
ggplot(data = cars) + geom_line(aes(x=speed, y=dist))
})
})
}
# Run the application
shinyApp(ui = ui, server = server)
Could you use conditionalPanel? Put your htmlOutput for your second input there in your ui. I would avoid using nested observeEvent and output.
library(shiny)
library(shinyMobile)
library(ggplot2)
# define UI elements
ui <- f7Page(
f7SingleLayout(
navbar = f7Navbar(
),
f7Card(htmlOutput("initial_drop_down"), #first drop down
f7checkBox(inputId = "switch", label = "Introduce second choice", FALSE), #tick box for second drop down if required
conditionalPanel(
condition = "input.switch==1",
htmlOutput("reactive_drop_down") #second drop down
)
),
f7Shadow(
intensity = 16,
f7Card(
plotOutput("distPlot", height = "800px") # plot - originally linked to drop down choices but an arbitrary graph here for simplicity
)
)
)
)
# server calculations
server <- function(input, output) {
# generate first drop down - done on server side since usually choices vector is comprised of information read in from files
output$initial_drop_down = renderUI({
selectInput(inputId = "initial_choice",
label = "First choice:",
choices = c("Choice 1", "Choice 2", "Choice 3"))
})
output$reactive_drop_down = renderUI({
selectInput(inputId = "second_choice",
label = "Second (dynamic) choice:",
choices = c(1,2,3))
})
output$distPlot <- renderPlot({
ggplot(data = cars) + geom_line(aes(x=speed, y=dist))
})
}
# Run the application
shinyApp(ui = ui, server = server)
In a nutshell, I believe I need to nest uiOutputs together and cannot figure a great way to do so.
The app is large but for this part, I would like to create a survey that renders sub-surveys (new panels) based on a slider input (I've accomplished that much). These panels will all be standard and so they can be created with a loop.
However, answers within these panels should generate more UI within the panel from which they were generated and therein lies the problem... the nesting of uiOutputs. I've tried to provide the shortest example possible below, with comments - and note that the second uiOutput call works if I specify a panel for which it should work ("oh_lawd_1" in this case).
Please let me know what you think! Have been looking at this in my spare time for at least 4 days. (also I realize that this is not an ideal use of shiny).
library(shiny)
library(shinyWidgets)
ui <- fluidPage( #UI
column(6, offset = 3,
sliderInput(inputId = "my_slider", # slider to choose number of panels
label = "Choose Panels to be Displayed",
min = 0, max = 5, value = 1),
uiOutput(outputId = "update_panels") # ui output to create panels
)
)
server <- function(input, output, session) { #Server
output$update_panels <- renderUI({ # rendering all the panels called for by user
panels <- input$my_slider
if(panels == 0){
return("No panels being displayed")# returning 0 if none selected
} else {
our_ui <- list() # creating a list to store a standard panel
for(i in 1:panels){
button_id <- paste("button_id", i, sep = "_") # a unique id for each panel's radiobuttons
oh_lawd <- paste("oh_lawd", i, sep = "_") # a unique id for each panel's uiOutput
update <- wellPanel(paste("Well Panel #", i), # "update" is what each panel should START OFF looking like
radioButtons(inputId = button_id,
label = "Choose a pill",
choices = c("Red Pill", "Blue Pill")),
uiOutput(oh_lawd)) # this part is the issue - I would like to update individual panels with a
# radio button selection specific to a choice in each panel... a nested uiOutput
our_ui <- list(our_ui, update)
}}
our_ui})
output$oh_lawd_1 <- renderUI({ # this works for the first... but I need to somehow create one of these for each based on
# number of panels and the choice in each panel
if(input$button_id_1 == "Red Pill"){
radioButtons("first_output", "Next Choices", choices = c("I'm a brave boi", "Knowledge schmoledge"))
} else {
radioButtons("first_output", "Next Choices", choices = c("Gimme dat ignorance", "Mhmm yea") )
}
})
}
# Run the application
shinyApp(ui = ui, server = server)
Is it what you want? I'm not sure.
library(shiny)
library(shinyWidgets)
ui <- fluidPage( #UI
column(6, offset = 3,
sliderInput(inputId = "my_slider", # slider to choose number of panels
label = "Choose Panels to be Displayed",
min = 0, max = 5, value = 1),
uiOutput(outputId = "update_panels") # ui output to create panels
)
)
server <- function(input, output, session) { #Server
output$update_panels <- renderUI({ # rendering all the panels called for by user
panels <- input$my_slider
if(panels == 0){
return("No panels being displayed")# returning 0 if none selected
} else {
our_ui <- list() # creating a list to store a standard panel
for(i in 1:panels){
button_id <- paste("button_id", i, sep = "_") # a unique id for each panel's radiobuttons
oh_lawd <- paste("oh_lawd", i, sep = "_") # a unique id for each panel's uiOutput
update <- wellPanel(paste("Well Panel #", i), # "update" is what each panel should START OFF looking like
radioButtons(inputId = button_id,
label = "Choose a pill",
choices = c("Red Pill", "Blue Pill")),
uiOutput(oh_lawd)) # this part is the issue - I would like to update individual panels with a
# radio button selection specific to a choice in each panel... a nested uiOutput
our_ui <- list(our_ui, update)
}}
our_ui})
observeEvent(input$my_slider, {
lapply(seq_len(input$my_slider), function(i){
uiID <- paste0("oh_lawd_", i)
buttonID <- paste0("button_id_", i)
radioID <- paste0("radio_id_", i)
output[[uiID]] <- renderUI({
if(input[[buttonID]] == "Red Pill"){
choices <- c("I'm a brave boi", "Knowledge schmoledge")
}else{
choices <- c("Gimme dat ignorance", "Mhmm yea")
}
radioButtons(radioID, "Next Choices", choices = choices)
})
})
})
}
# Run the application
shinyApp(ui = ui, server = server)
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)