Any tips to solve encoding problem. I am not able to generate the up (↑) and down (↓) arrows in the code below. When running, the following warning message appears:
Warning messages:
1: unable to translate 'Maximize <U+2191>' to native encoding
2: unable to translate 'Minimize <U+2193>' to native encoding
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
column(
width = 6,
selectInput("maxmin", label = h5("Maximize or Minimize"),
choices = list("Maximize \u2191" = 1, "Minimize \u2193" = 2), selected = "")
)
)),
mainPanel(
))
)
server <- function(input, output, session) {
}
shinyApp(ui = ui, server = server)
You can use HTML code for the arrows and proceed like this:
library(shiny)
choicesNames <- list("Minimize", "Maximize")
choicesHTML <- list("Minimize ↓", "Maximize ↑")
choices <- setNames(choicesNames, choicesHTML)
ui <- fluidPage(
selectizeInput("select", label = "Select", choices = NULL),
textOutput("txt")
)
server <- function(input, output, session) {
updateSelectizeInput(
session, "select",
choices = choices,
options = list(render = I("
{
item: function(item, escape) { return '<div>' + item.label + '</div>'; },
option: function(item, escape) { return '<div>' + item.label + '</div>'; }
}
"))
)
output$txt <- renderText({
paste("You chose", input$select)
})
}
shinyApp(ui, server)
Another option is to use my package shinySelect and fontawesome icons for the arrows.
library(shiny)
library(shinySelect)
library(bslib)
library(fontawesome)
choices <- HTMLchoices(
labels = list(
tags$span("Minimize", fa_i("arrow-alt-circle-down")),
tags$span("Maximize", fa_i("arrow-alt-circle-up"))
),
values = list("minimize", "maximize")
)
styles <- list(
borderBottom = "5px solid orange",
color = list(selected = "lime", otherwise = "pink"),
backgroundColor = list(selected = "cyan", otherwise = "seashell")
)
ui <- fluidPage(
theme = bs_theme(version = 4),
titlePanel("shinySelect example"),
selectControlInput(
"inputid",
label = tags$h1("Make a choice", style = "color: red;"),
optionsStyles = styles,
choices = choices,
selected = "minimize",
multiple = FALSE,
animated = TRUE
),
br(),
verbatimTextOutput("textOutput")
)
server <- function(input, output, session) {
output$textOutput <- renderPrint({
sprintf("You selected: %s", input$inputid)
})
}
shinyApp(ui, server)
This is an alternate solution. Solutions provided by #Stephane Laurent are great. To translate unicode points to UTF-8, you can use chr_unserialise_unicode() from rlang package. Try this
library(shiny)
library(rlang)
ll <- chr_unserialise_unicode("<U+2193>")
uu <- chr_unserialise_unicode("<U+2191>")
choicesNames <- list(1,2)
choiceValues <- list(sprintf("Minimize %s",ll),sprintf("Maximize %s",uu))
choices <- setNames(choicesNames, choiceValues)
ui <- fluidPage(
selectInput("maxmin", label = h5("Maximize or Minimize"), choices = NULL),
textOutput("mytxt")
)
server <- function(input, output, session) {
updateSelectInput(session, "maxmin", choices = choices )
output$mytxt <- renderText({
paste("You chose", input$maxmin)
})
}
shinyApp(ui = ui, server = server)
Related
When running the code below, you will notice that I have two options below. If you press the Excel option, a fileInput will appear right below the radioButtons. However, I would like to know if it is possible to separate fileInput from radioButtons. I will insert an image to clarify what I want. See that they are separated.
Executable code below:
library(shiny)
library(dplyr)
library(shinyjs)
library(shinythemes)
library(readxl)
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("PAGE1",
sidebarLayout(
sidebarPanel(
radioButtons("button",
label = h3("Data source"),
choices = list("Excel" = "Excel",
"Database" = "database"),
selected = "File"),
uiOutput('fileInput'),
),
mainPanel(
)))))
server <- function(input, output) {
observe({
if(is.null(input$button)) {
}else if (input$button =="Excel"){
output$fileInput <- renderUI({
fileInput("file",h4("Import file"), multiple = T, accept = ".xlsx")
})
} else if(input$button=="database"){
output$fileInput <- NULL
} else {
output$fileInput <- NULL
}
})
}
shinyApp(ui = ui, server = server)
Example:
I left it in red to specify the space
A possible workaround could be to use fluidRow with two columns to simulating a sidebarPanel with a mainPanel.
Notice that I wrapped the inputs in a div(class = "well well-lg") for the background.
App
library(shiny)
library(dplyr)
library(shinyjs)
library(shinythemes)
library(readxl)
ui <- navbarPage(
theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel(
"PAGE1",
fluidRow(
column(
width = 6,
fluidRow(div(
class = "well well-lg",
radioButtons("button",
label = h3("Data source"),
choices = list(
"Excel" = "Excel",
"Database" = "database"
),
selected = "File"
)
)),
fluidRow(
uiOutput("fileInput")
)
),
column(
width = 6,
tableOutput("iris")
)
)
)
)
server <- function(input, output) {
output$iris <- renderTable({
iris
})
observe({
if (is.null(input$button)) {
} else if (input$button == "Excel") {
output$fileInput <- renderUI({
div(class = "well well-lg", fileInput("file", h4("Import file"), multiple = T, accept = ".xlsx"))
})
} else if (input$button == "database") {
output$fileInput <- NULL
} else {
output$fileInput <- NULL
}
})
}
shinyApp(ui = ui, server = server)
Consider the following example application:
library(shiny)
library(shinyWidgets)
module_UI <- function(id){
tagList(
div(
uiOutput(
outputId = NS(id, "selection")
),
shinyWidgets::dropdown(
uiOutput(outputId = NS(id, "new_option")),
style = "unite",
label = "New",
color = "primary",
animate = animateOptions(
enter = animations$fading_entrances$fadeInLeftBig,
exit = animations$fading_exits$fadeOutRightBig
),
up = F,
width = "600px",
inline = T
)
)
)
}
module_server <- function(id){
moduleServer(id, function(input, output, session){
ns <- session$ns
return_values <- reactiveValues(selection=NULL)
output$selection <- renderUI({
selectInput(inputId = ns("selection"), label = "Select:", choices = 1:5)
})
output$new_option <- renderUI({
div(
numericInput(ns("new_option_input"), label = "Add a new option:"),
shinyWidgets::actionBttn(
inputId = ns("submit_new_option"),
label = "Submit",
icon = icon("paper-plane"))
)
})
observeEvent(input$submit_new_option, {
#does not work as intended
updateSelectInput(session = session, inputId = "selection", selected = input$new_option_input)
})
observe({
return_values$selection <- input$selection
})
return(return_values)
})
}
# Define UI for application that draws a histogram
ui <- fluidPage(
title = "Test App",
module_UI("test"),
verbatimTextOutput(outputId = "selection_chosen")
)
# Define server logic required to draw a histogram
server <- function(input, output) {
picker <- module_server("test")
output$selection_chosen <- renderText({
picker$selection
})
}
# Run the application
shinyApp(ui = ui, server = server)
Basically, the module should do two things:
Allow user to select a pre-existing option --> return that value from module
Allow user to create their own, new option --> return that value from module
I have #1 working, but am struggling on #2. Specifically, where I have the "does not work" comment. How can I achieve this functionality? What are/is the best practice(s) for returning server-side created values from a Shiny module? This is an example app; the real one involves reading the selectInput options from a database, as well as saving the newly created options in the database. Appreciate any help on this! A lot of SO answers regarding Shiny modules have the older callModule(...) syntax, which makes researching this topic a bit more confusing.
You just need to provide the default value in numericInput. Perhaps you are looking for this.
library(shiny)
library(shinyWidgets)
module_UI <- function(id){
ns <- NS(id)
tagList(
div(
uiOutput(
outputId = NS(id, "selection")
),
shinyWidgets::dropdown(
uiOutput(outputId = NS(id, "new_option")),
style = "unite",
label = "New",
color = "primary",
animate = animateOptions(
enter = animations$fading_entrances$fadeInLeftBig,
exit = animations$fading_exits$fadeOutRightBig
),
up = F,
width = "600px",
inline = T
),
DTOutput(ns("t1"))
)
)
}
module_server <- function(id){
moduleServer(id, function(input, output, session){
ns <- session$ns
return_values <- reactiveValues(selection=NULL,myiris = iris)
output$selection <- renderUI({
selectInput(inputId = ns("selection"), label = "Select:", choices = 1:5)
})
output$new_option <- renderUI({
tagList(
numericInput(ns("new_option_input"), label = "Add a new option:",10, min = 1, max = 100),
shinyWidgets::actionBttn(
inputId = ns("submit_new_option"),
label = "Submit",
icon = icon("paper-plane"))
)
})
observeEvent(input$submit_new_option, {
return_values$myiris <- iris[1:input$new_option_input,]
#does work as intended
updateSelectInput(session = session, inputId = "selection", choices= c(1:input$new_option_input), selected = input$new_option_input)
})
output$t1 <- renderDT({return_values$myiris})
observe({
return_values$selection <- input$selection
})
return(return_values)
})
}
# Define UI for application that draws a histogram
ui <- fluidPage(
title = "Test App",
module_UI("test"),
verbatimTextOutput(outputId = "selection_chosen"),
DTOutput("t2")
)
# Define server logic required to draw a histogram
server <- function(input, output) {
picker <- module_server("test")
output$selection_chosen <- renderText({
picker$selection
})
output$t2 <- renderDT({picker$myiris[,c(3:5)]})
}
# Run the application
shinyApp(ui = ui, server = server)
I currently have a table being generated and I would like the user to be able to create a pdf file when they click the download button.
I am currently getting an error where when I click the download button I get an html file that downloads the entire page of the app. I thought that using pdf(file) would work but it ignores the function.
Here is currently what I have.
library(shiny)
library(xlsx)
library(shinyWidgets)
population <- read.xlsx("population.xlsx", 1)
fieldsMandatory <- c("selectedCountry")
labelMandatory <- function(label) {
tagList(
label,
span("*", class = "mandatory_star")
)
}
appCSS <-
".mandatory_star {color: red;}"
ui <- fluidPage(
navbarPage(title = span("Spatial Tracking of COVID-19 using Mathematical Models", style = "color:#000000; font-weight:bold; font-size:15pt"),
tabPanel(title = "Model",
sidebarLayout(
sidebarPanel(
shinyjs::useShinyjs(),
shinyjs::inlineCSS(appCSS),
div(
id = "dashboard",
pickerInput(
inputId = "selectedCountry",
labelMandatory ("Country"),
choices = population$Country,
multiple = FALSE,
options = pickerOptions(
actionsBox = TRUE,
title = "Please select a country")
),
sliderInput(inputId = "agg",
label = "Aggregation Factor",
min = 0, max = 50, step = 5, value = 10),
actionButton("go","Run Simulation"),
)
),
mainPanel(
tabsetPanel(
tabPanel("Input Summary", verbatimTextOutput("summary"),
tableOutput("table"),
downloadButton(outputId = "downloadSummary", label = "Save Summary"))
)
)
)
)
)
)
server <- function(input, output, session){
observeEvent(input$resetAll, {
shinyjs::reset("dashboard")
})
values <- reactiveValues()
values$df <- data.frame(Variable = character(), Value = character())
observeEvent(input$go, {
row1 <- data.frame(Variable = "Country", Value = input$selectedCountry)
row2 <- data.frame(Variable = "Aggregation Factor", Value = input$agg)
values$df <- rbind(row1, row2)
})
output$table <- renderTable(values$df)
observe({
# check if all mandatory fields have a value
mandatoryFilled <-
vapply(fieldsMandatory,
function(x) {
!is.null(input[[x]]) && input[[x]] != ""
},
logical(1))
mandatoryFilled <- all(mandatoryFilled)
# enable/disable the submit button
shinyjs::toggleState(id = "go", condition = mandatoryFilled)
})
output$downloadSummary <- downloadHandler(
filename = function(file) {
paste('my-report.pdf', )
},
content = function(file) {
pdf(file)
}
)
}
shinyApp(ui,server)
Here's a minimal example:
library(shiny)
ui <- fluidPage(
downloadButton("savepdf", "Save pdf")
)
server <- function(input, output, session) {
output$savepdf <- downloadHandler(
filename = "test.pdf",
content = function(file) {
pdf(file)
plot(iris$Sepal.Length, iris$Sepal.Width)
dev.off()
}
)
}
shinyApp(ui, server)
Also see here.
Here is a minimal example with the package latexpdf. It will create the pdf table in the folder of the app.
library(shiny)
library(latexpdf)
dat <- head(iris, 5)
ui <- fluidPage(
br(),
actionButton("dwnld", "Create pdf"),
tableOutput("mytable")
)
server <- function(input, output, session){
output[["mytable"]] <- renderTable({
dat
})
observeEvent(input[["dwnld"]], {
as.pdf(dat)
})
}
shinyApp(ui, server)
I'm building a shinyApp on mtcars data. I got 2 actionButtons (Go & Clear).
The Go button is for displaying the output on mainPanel whereas the Clear button is for clearing that output.
My Clear button isn't working due to some unforeseen reason. Can somebody please have a look at my codes. I shall be extremely grateful.
library(shiny)
library(DT)
library(dplyr)
library(shinythemes)
library(htmlwidgets)
library(shinyWidgets)
library(shinydashboard)
data_table<-mtcars
#ui
ui = fluidPage(
sidebarLayout(
sidebarPanel (
uiOutput("cyl_selector"),
uiOutput("disp_selector"),
actionButton(inputId = "go", label = "Go"),
actionButton(inputId = "reset", label = "Clear")),
mainPanel(
DT::dataTableOutput('mytable') )))
#server
server = function(input, output, session) {
output$cyl_selector <- renderUI({
selectInput(inputId = "cyl",
label = "cyl:", multiple = TRUE,
choices = c( unique(as.character(data_table$cyl))),
selected = c('4')) })
output$disp_selector <- renderUI({
available <- data_table[c(data_table$cyl %in% input$cyl ), "disp"]
selectInput(
inputId = "disp",
label = "disp:",
multiple = TRUE,
choices = c('All',as.character(unique(available))),
selected = 'All') })
thedata <- eventReactive(input$go,{
data_table<-data_table[data_table$cyl %in% input$cyl,]
if(input$disp != 'All'){
data_table<-data_table[data_table$disp %in% input$disp,]
}
data_table
})
# thedata <- eventReactive(input$reset,{
# data_table<-NULL
# })
output$mytable = DT::renderDataTable({
DT::datatable( filter = "top", rownames = FALSE, escape = FALSE,
options = list(pageLength = 50, autowidth=FALSE,
dom = 'Brtip' ),
{
thedata() # Call reactive thedata()
})
})}
shinyApp(ui = ui, server = server)
insertUI() and removeUI() is what you might be looking for.
Removing the element is easier with removeUI():
observeEvent(input$reset, {
removeUI("#mytable")
})
To avoid that you dont delete it permanently you could use insertUI():
observeEvent(input$go, {
insertUI("#placeholder", "afterEnd", ui = DT::dataTableOutput('mytable'))
})
In order to place the element correctly you can use a placeholder in the mainPanel():
mainPanel(
tags$div(id = "placeholder")
)
Then you could remove the dependency of thedata() from the input button, since you use the insertUI() now. (You should swith to insertUI(), because otherwise you cant re-insert the table once its deleted without it,...)
thedata <- reactive({
...
})
Full example would read:
library(shiny)
library(DT)
library(dplyr)
library(shinythemes)
library(htmlwidgets)
library(shinyWidgets)
library(shinydashboard)
data_table<-mtcars
#ui
ui = fluidPage(
sidebarLayout(
sidebarPanel (
uiOutput("cyl_selector"),
uiOutput("disp_selector"),
actionButton(inputId = "go", label = "Go"),
actionButton(inputId = "reset", label = "Clear")),
mainPanel(
tags$div(id = "placeholder")
)
)
)
#server
server = function(input, output, session) {
output$cyl_selector <- renderUI({
selectInput(inputId = "cyl",
label = "cyl:", multiple = TRUE,
choices = c( unique(as.character(data_table$cyl))),
selected = c('4')) })
output$disp_selector <- renderUI({
available <- data_table[c(data_table$cyl %in% input$cyl ), "disp"]
selectInput(
inputId = "disp",
label = "disp:",
multiple = TRUE,
choices = c('All',as.character(unique(available))),
selected = 'All') })
thedata <- reactive({
input$go
isolate({
data_table<-data_table[data_table$cyl %in% input$cyl,]
if(input$disp != 'All'){
data_table<-data_table[data_table$disp %in% input$disp,]
}
return(data_table)
})
})
observeEvent(input$reset, {
removeUI("#mytable")
})
observeEvent(input$go, {
insertUI("#placeholder", "afterEnd", ui = DT::dataTableOutput('mytable'))
})
output$mytable = DT::renderDataTable({
DT::datatable( filter = "top", rownames = FALSE, escape = FALSE,
options = list(pageLength = 50, autowidth=FALSE,
dom = 'Brtip' ),
{
thedata() # Call reactive thedata()
})
})}
shinyApp(ui = ui, server = server)
)
Why not inject some javascript? This way, your code is kept virtually unchanged.
Create a js file in your shiny folder with the following code (rmDt.js in this example):
$("#reset").click(function() {
$(".display.dataTable.no-footer").DataTable().destroy();
$(".display.dataTable.no-footer").DataTable().clear().draw();
$(".display.no-footer").DataTable().destroy();
$(".display.no-footer").DataTable().clear().draw();
});
Save this file and then inject it in your shiny R script:
library(shiny)
library(DT)
library(dplyr)
library(htmlwidgets)
library(shinyWidgets)
library(shinydashboard)
data_table<-mtcars
#ui
ui = fluidPage(
sidebarLayout(
sidebarPanel (
uiOutput("cyl_selector"),
uiOutput("disp_selector"),
actionButton(inputId = "go", label = "Go"),
actionButton(inputId = "reset", label = "Clear"),
includeScript(path ="rmDt.js") # inject javascript
),
mainPanel(
DT::dataTableOutput('mytable') ))
)
#server
server = function(input, output, session) {
output$cyl_selector <- renderUI({
selectInput(inputId = "cyl",
label = "cyl:", multiple = TRUE,
choices = c( unique(as.character(data_table$cyl))),
selected = c('4')) })
output$disp_selector <- renderUI({
available <- data_table[c(data_table$cyl %in% input$cyl ), "disp"]
selectInput(
inputId = "disp",
label = "disp:",
multiple = TRUE,
choices = c('All',as.character(unique(available))),
selected = 'All') })
thedata <- eventReactive(input$go,{
data_table<-data_table[data_table$cyl %in% input$cyl,]
if(input$disp != 'All'){
data_table<-data_table[data_table$disp %in% input$disp,]
}
data_table
})
output$mytable = DT::renderDataTable({
DT::datatable( filter = "top", rownames = FALSE, escape = FALSE,
options = list(pageLength = 50, autowidth=FALSE,
dom = 'Brtip' ),
{
thedata() # Call reactive thedata()
})
})}
shinyApp(ui = ui, server = server, options = list(launch.browser = T))
everyone. I want to use two actionButtons in shiny to control the values of a project. The code is like below:
ui <- fluidPage(
actionButton(
inputId = "bt2",
label = "BT2",
styleclass = "info"
),
actionButton(
inputId = "bt1",
label = "BT1",
styleclass = "info"
),
textOutput(outputId = "test")
)
server <- function(input, output, session) {
test <- eventReactive(eventExpr = input$bt1, {
"1"
})
observeEvent(eventExpr = input$bt2, {
test <- reactive({"2"})
})
output$test <- renderText({
test()
})
}
shinyApp(ui = ui, server = server)
However, it didn't work!
Anybody can help me?
Thank your very much!!!
I added reactiveValues to help you here as you want to change it using different methods such as observeEvent
library(shiny)
ui <- fluidPage(
actionButton(
inputId = "bt2",
label = "BT2",
styleclass = "info"
),
actionButton(
inputId = "bt1",
label = "BT1",
styleclass = "info"
),
textOutput(outputId = "test")
)
server <- function(input, output, session) {
v <- reactiveValues()
observeEvent(input$bt1,{
v$test <- "1"
})
observeEvent(input$bt2, {
v$test <- "2"
})
output$test <- renderText({
v$test
})
}
shinyApp(ui = ui, server = server)