How to show text and table in shiny - r

How to show h3("Numeric Results") and h3("Summary Statements")? Thank you.
This is my ui.R and server.R.
Below is the code for my ui.R file:
library(shiny)
ui <- shinyUI(fluidPage(
titlePanel("aaaaaaaaaaaaaaaa"),
tabsetPanel(
navbarMenu("Means",
tabPanel("One Mean"),
tabPanel("Two Means",
wellPanel(
checkboxInput(inputId = "s1", label = "S1" , value = FALSE),
checkboxInput(inputId = "s2", label = "S2", value = FALSE)
),
sidebarPanel(
p(strong("Error Rates")),
numericInput("alpha", label="Alpha", min=0, max=1,value=0.05),
numericInput("power", "Power", 0.8),
actionButton("submit","Submit")
),
mainPanel(
tabsetPanel(
tabPanel("Main",
tableOutput("Table"),
verbatimTextOutput("Text")
)
)
)
)
))))
Below is the code for my server.R file:
server <- shinyServer(function(input, output) {
output$Table <- renderTable({
if(input$submit > 0) {
h3("Numeric Results")
output<-data.frame(input$alpha,input$power)
output
}
})
output$Text<-renderPrint({
if(input$submit > 0) {
h3("Summary Statements")
paste("alpha and power are",input$alpha,"and",input$power)
}
})
})
shinyApp(ui = ui, server = server)

For the Table, I guess you are not providing a variable to store/display the text and for the Text, the paste overrides the h3 code. If you comment the paste code, you can see the h3 code. To have multiple lines of text, you can try something like in the code below.
library(shiny)
ui <- shinyUI(fluidPage(
titlePanel("aaaaaaaaaaaaaaaa"),
tabsetPanel(
navbarMenu("Means",
tabPanel("One Mean"),
tabPanel("Two Means",
wellPanel(
checkboxInput(inputId = "s1", label = "S1" , value = FALSE),
checkboxInput(inputId = "s2", label = "S2", value = FALSE)
),
sidebarPanel(
p(strong("Error Rates")),
numericInput("alpha", label="Alpha", min=0, max=1,value=0.05),
numericInput("power", "Power", 0.8),
actionButton("submit","Submit")
),
mainPanel(
tabsetPanel(
tabPanel("Main",
htmlOutput("header"),
tableOutput("Table"),
htmlOutput("Text")
)
)
)
)
))))
server <- shinyServer(function(input, output) {
output$header <- renderText({
if(input$submit > 0) {
HTML(paste0("<h3>","Numeric Results","</h3>"))
}
})
output$Table <- renderTable({
if(input$submit > 0) {
output<-data.frame(input$alpha,input$power)
output
}
})
output$Text<-renderPrint({
if(input$submit > 0) {
str1 <- (paste0("<h3>", "Summary Statements", "</h3>"))
str2 <- paste("alpha and power are",input$alpha,"and",input$power)
HTML(paste(str1, str2, sep = '<br/>'))
}
})
})
shinyApp(ui = ui, server = server)

Related

Separating fileInput from radioButtons into shiny code

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)

Loading bar from Waiter package doesn't disappear after its use [SHINY]

I am creating a Shiny app and I have started using the Waiter package.
When I load the app, before doing anything, we cannot see anything (at it is expected). When I generate the plot, the loading bar appears but when it finishes, it doesn't disappear. It stays a white box that it still can be seen.
Loading....
It has finished.
Does anyone know how to remove it?
Thanks in advance!
Code:
library(shiny)
library(magrittr)
library(DT)
library(ggplot2)
library(waiter)
new_choices <- setNames(names(mtcars), names(mtcars))
ui <- fluidPage(
# Application title
titlePanel("My shiny app"),
sidebarLayout(
sidebarPanel(
tabsetPanel(
tabPanel("Selection",
selectInput("x_axis", "Choose x axis",
choices = new_choices),
selectInput("y_axis", "Choose y axis",
choices = new_choices),
hr(),
),
tabPanel("Titles",
hr(),
textInput(inputId = "title", "You can write the title:", value = "This is the title"),
textInput(inputId = "xlab", "You can re-name the x-axis:", value = "x-axis...."),
textInput(inputId = "ylab", "You can re-name the y-axis:", value = "y-axis ...."),
),
tabPanel("Calculations",
hr(),
checkboxInput("log2", "Do the log2 transformation", value = F),
checkboxInput("sqrt", "Calculate the square root", value = F),
)
),
useWaitress(),
actionButton(inputId = "drawplot", label = "Show the plot")
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("plot"),
)
)
)
server <- function(input, output, session) {
waitress <- Waitress$new(theme = "overlay-percent", min = 0, max = 10)
data <- reactive({
mtcars
})
filtered_data <- reactive({
data <- data()
if(input$log2 == TRUE){
data <- log2(data+1)
}
if(input$sqrt == TRUE){
data <- sqrt(data)
}
return(data)
})
v <- reactiveValues()
observeEvent(input$drawplot, {
# use notification
waitress$notify()
for(i in 1:10){
waitress$inc(1) # increase by 10%
Sys.sleep(.3)
}
v$plot <- ggplot() +
geom_point(data = filtered_data(),
aes_string(x = input$x_axis, y = input$y_axis)) +
xlab(input$xlab) +
ylab(input$ylab) +
ggtitle(input$title)
waitress$close() # hide when done
})
output$plot <- renderPlot({
if (is.null(v$plot)) return()
v$plot
})
}
shinyApp(ui, server)
Feels like a bug to me. You may file an issue to the waiter github repository and ask them to fix it. Meanwhile, a workaround we can do is to manually show and hide the bar by ourselves.
library(shiny)
library(magrittr)
library(DT)
library(ggplot2)
library(waiter)
library(shinyjs)
new_choices <- setNames(names(mtcars), names(mtcars))
ui <- fluidPage(
# Application title
titlePanel("My shiny app"),
sidebarLayout(
sidebarPanel(
tabsetPanel(
tabPanel("Selection",
selectInput("x_axis", "Choose x axis",
choices = new_choices),
selectInput("y_axis", "Choose y axis",
choices = new_choices),
hr(),
),
tabPanel("Titles",
hr(),
textInput(inputId = "title", "You can write the title:", value = "This is the title"),
textInput(inputId = "xlab", "You can re-name the x-axis:", value = "x-axis...."),
textInput(inputId = "ylab", "You can re-name the y-axis:", value = "y-axis ...."),
),
tabPanel("Calculations",
hr(),
checkboxInput("log2", "Do the log2 transformation", value = F),
checkboxInput("sqrt", "Calculate the square root", value = F),
)
),
useWaitress(),
useShinyjs(),
actionButton(inputId = "drawplot", label = "Show the plot")
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("plot")
)
)
)
server <- function(input, output, session) {
waitress <- Waitress$new(theme = "overlay-percent", min = 0, max = 10)
data <- reactive({
mtcars
})
filtered_data <- reactive({
data <- data()
if(input$log2 == TRUE){
data <- log2(data+1)
}
if(input$sqrt == TRUE){
data <- sqrt(data)
}
return(data)
})
v <- reactiveValues()
observeEvent(input$drawplot, {
# use notification
show(selector = '.waitress-notification.notifications')
waitress$notify()
for(i in 1:10){
waitress$inc(1) # increase by 10%
Sys.sleep(.3)
}
v$plot <- ggplot() +
geom_point(data = filtered_data(),
aes_string(x = input$x_axis, y = input$y_axis)) +
xlab(input$xlab) +
ylab(input$ylab) +
ggtitle(input$title)
waitress$close()
hide(selector = '.waitress-notification.notifications')
})
output$plot <- renderPlot({
if (is.null(v$plot)) return()
v$plot
})
}
shinyApp(ui, server)

Modularize reactiveUI with interdependent filters in shiny with {golem}

The following shiny app works well but has a problem: it displays errors or warnings because of the dynamic filtering.
library(shiny)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
titlePanel(
div(style="line-height: 100%",
align = 'center',
span("Awesome reprex"),
hr()
)
),
sidebarMenu(
menuItem("Home", tabName = "Home", icon = icon("fas fa-home")),
menuItem("Main section", tabName = "Main", icon = icon("far fa-chart-bar"))
)
),
dashboardBody(
tabItems(tabItem(tabName = "Home"),
tabItem(tabName = "Main",
fluidRow(
),
fluidRow(),
hr(),
fluidRow(style = 'background: white;',
div(
box(
title= "Much filters",
style = 'height:420px; background: gainsboro; margin-top: 5vw;',
width=3,
solidHeader = TRUE,
uiOutput("continent"),
uiOutput("country")
),
tabBox(
width = 9,
title = "Results",
id = "tabset1",
tabPanel(style = 'overflow-y:scroll;height:420px;',"Awesome results !",
style="zoom: 90%;",
DT::dataTableOutput("awesometable")
)
)
)
)
)
)
)
)
library(data.table)
library(shiny)
library(gapminder
server <- function(input, output, session) {
df <- gapminder::gapminder
output$continent = renderUI({
selectizeInput(inputId = "continent",
label = "Continent :",
choices = unique(df[,"continent"]),
selected = unique(df[,"continent"])[1])
})
# #
datasub <- reactive({
df[df$continent == input$continent,]
})
output$country = renderUI({
selectizeInput(inputId = "country",
label = "Country :",
choices = unique(datasub()[,"country"])
)
})
#
datasub2 <- reactive({
datasub()[datasub()$country == input$country, ]
})
output$awesometable <- DT::renderDataTable({
datasub2()
})
}
shinyApp(ui, server)
First part of the problem:
Errors started displaying once I included a filtering method I found here:
https://stackoverflow.com/a/51153769/12131069
After trying different methods, this is the one that works pretty close to what I am looking for.
However, once the app is loaded, this appears in the console:
Logical subscripts must match the size of the indexed input.
Input has size 392 but subscript datasub2()$country== input$country has size 0.
Second part of the problem:
The app is being developed with the {golem} package, which is really helpful when building scalable and maintainable shiny infrastructure. However, I don't get what I am expecting (and I get the errors). How can I solve that? How can I "modularize" the workaround I found to create interdependent filters?
I have been trying something like:
#' awesome_app_ui UI Function
#'
#' #description A shiny Module.
#'
#' #param id,input,output,session Internal parameters for {shiny}.
#'
#' #noRd
#'
#' #import DT
#' #import plotly
#' #import htmltools
#' #import shinydashboard
#' #importFrom reactable JS
#' #importFrom shiny NS tagList
mod_chiffres_cles_ts_ui <- function(id){
ns <- NS(id)
df <- gapminder::gapminder
tabBox(width = 9,title = "Results",d = "tabset1",
tabPanel(style = 'overflow-y:scroll;height:420px;',"Awesome results !",
style="zoom: 90%;",DT::dataTableOutput("awesometable"))
}
#' awesome_app Server Functions
#'
#' #noRd
mod_chiffres_cles_ts_server <- function(id){
moduleServer( id, function(input, output, session){
ns <- session$ns
df <- gapminder::gapminder
output$continent = renderUI({
selectizeInput(inputId = "continent",
label = "Continent :",
choices = unique(df[,"continent"]),
selected = unique(df[,"continent"])[1])
})
# #
datasub <- reactive({
df[df$continent == input$continent,]
})
output$country = renderUI({
selectizeInput(inputId = "country",
label = "Country :",
choices = unique(datasub()[,"country"])
)
})
#
datasub2 <- reactive({
datasub()[datasub()$country == input$country, ]
})
output$awesometable <- DT::renderDataTable({
datasub2()
})
}
Thanks!
Once you use req() appropriately, your program works fine.
library(shiny)
library(data.table)
library(shiny)
library(gapminder)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
titlePanel(
div(style="line-height: 100%",
align = 'center',
span("Awesome reprex"),
hr()
)
),
sidebarMenu(
menuItem("Home", tabName = "Home", icon = icon("fas fa-home")),
menuItem("Main section", tabName = "Main", icon = icon("far fa-chart-bar"))
)
),
dashboardBody(
tabItems(tabItem(tabName = "Home"),
tabItem(tabName = "Main",
fluidRow(
),
fluidRow(),
hr(),
fluidRow(style = 'background: white;',
div(
box(
title= "Much filters",
style = 'height:420px; background: gainsboro; margin-top: 5vw;',
width=3,
solidHeader = TRUE,
uiOutput("continent"),
uiOutput("country")
),
tabBox(
width = 9,
title = "Results",
id = "tabset1",
tabPanel(style = 'overflow-y:scroll;height:420px;',"Awesome results !",
style="zoom: 90%;",
DT::dataTableOutput("awesometable")
)
)
)
)
)
)
)
)
server <- function(input, output, session) {
df <- gapminder::gapminder
output$continent = renderUI({
selectizeInput(inputId = "continent",
label = "Continent :",
choices = unique(df[,"continent"]),
selected = unique(df[,"continent"])[1])
})
datasub <- reactive({
req(input$continent)
df[df$continent == input$continent,]
})
output$country = renderUI({
req(datasub())
selectizeInput(inputId = "country",
label = "Country :",
choices = unique(datasub()[,"country"])
)
})
datasub2 <- reactive({
req(datasub(),input$country)
datasub()[datasub()$country == input$country, ]
})
output$awesometable <- DT::renderDataTable({
req(datasub2())
datasub2()
})
}
shinyApp(ui, server)
You can also use modules as shown below. You may need to adjust where you want to place your selectInputs.
library(shiny)
library(data.table)
library(shiny)
library(gapminder)
moduleServer <- function(id, module) {
callModule(module, id)
}
mod_chiffres_cles_ts_ui <- function(id){
ns <- NS(id)
tagList(
box(
title= "Filter",
style = 'height:420px; background: gainsboro; margin-top: 3vw;',
#width=3,
solidHeader = TRUE,
uiOutput(ns("mycontinent"))
)
)
}
mod_chiffres_cles_ts_server <- function(id,dat,var){
moduleServer( id, function(input, output, session){
ns <- session$ns
df <- isolate(dat())
output$mycontinent = renderUI({
selectizeInput(inputId = ns("continent"),
label = paste(var, ":"),
choices = unique(df[,var]),
selected = unique(df[,var])[1])
})
#print(var)
return(reactive(input$continent))
})
}
mod_chiffres_cles_ds_server <- function(id,dat,var,value){
moduleServer( id, function(input, output, session){
df <- isolate(dat())
datasub <- reactive({
val = as.character(value())
df[df[[as.name(var)]] == val,]
})
#print(var)
return(reactive(as.data.frame(datasub())))
})
}
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
titlePanel(
div(style="line-height: 100%",
align = 'center',
span("Awesome reprex"),
hr()
)
),
sidebarMenu(
menuItem("Home", tabName = "Home", icon = icon("fas fa-home")),
menuItem("Main section", tabName = "Main", icon = icon("far fa-chart-bar"))
)
),
dashboardBody(
tabItems(tabItem(tabName = "Home"),
tabItem(tabName = "Main",
fluidRow(
column(6,mod_chiffres_cles_ts_ui("gap1"),
mod_chiffres_cles_ts_ui("gap2")
),
column(6,style = 'background: white;',
div(
tabBox(
width = 12,
title = "Results",
id = "tabset1",
tabPanel(style = 'overflow-y:scroll;height:560px;',"Awesome results !",
style="zoom: 90%;",
DTOutput("awesometable")
)
)
)
)
)
)
)
)
)
server <- function(input, output, session) {
dfa <- reactive(gapminder)
session$userData$settings <- reactiveValues(df1=NULL,df2=NULL)
rv <- reactiveValues()
var1 <- mod_chiffres_cles_ts_server("gap1",dfa,"continent")
observeEvent(var1(), {
data1 <- mod_chiffres_cles_ds_server("gap1",dfa,"continent", var1 )
session$userData$settings$df1 <- data1()
var21 <- mod_chiffres_cles_ts_server("gap2",data1,"country")
df21 <- mod_chiffres_cles_ds_server("gap2",data1,"country", var21 )
session$userData$settings$df2 <- df21()
print(var21)
})
df22 <- reactive(session$userData$settings$df1)
var22 <- mod_chiffres_cles_ts_server("gap2",df22,"country")
observeEvent(var22(), {
print(var22())
data2 <- mod_chiffres_cles_ds_server("gap2",df22,"country",var22)
session$userData$settings$df2 <- data2()
})
output$awesometable <- renderDT({
datatable(session$userData$settings$df2)
})
}
shinyApp(ui, server)

R shiny: Align inputs/ outputs horizontally within columns

I would like to align inputs/ outputs horizontally within columns. I can do this by splitting IDs, but I would prefer a way that dynamically splits the single input/ output ID into spaced columns.
Here is my code:
library(shinythemes)
library(shiny)
rm(list = ls())
ui <- navbarPage('Example',id = "inTabset",
tabPanel(title = "Example_1", value = "Example_1",
fluidPage(
tags$b( h4("Example_1", align = "left")),
theme = shinytheme("paper"),
fluidRow(
column(6,checkboxGroupInput("checkGroup", label ="",
choices = c(1,2,3,4,5,6,7,8),
selected = c(1,4,7)) )
),
br()
),
hr(),
verbatimTextOutput("example1")
),
tabPanel(title = "Example_2", value = "Example_2",
fluidPage(
tags$b( h4("Example_2", align = "left")),
br(),
fluidRow(
column(4, uiOutput("VarsInput")),
fluidRow(verbatimTextOutput("dataInfo")),
br(),
hr())
)
))
server <- function(input, output, session) {
output$example1 = renderPrint(input$checkGroup)
### output$example2 = ????
### i.e what data (a,b,c,d,e or f) has been chosen from the selectInput below?
K <- reactive({
length(input$checkGroup)
})
output$VarsInput <- renderUI({
NoV = K()
C = sapply(1:(ceiling(NoV)), function(i){paste0(input$checkGroup[i])})
output = tagList()
for(i in seq_along(1:ceiling(NoV))){
output[[i]] = tagList()
output[[i]][[1]] = selectInput(C[i], C[i], c("",c("a","b","c","d","e","f")))
}
output
})
}
shinyApp(ui, server)
As an example, the first input looks like this:
single column
I could, of course, split this into 2 (with the following code) to look like the following picture. However, this entails creating a separate ID, which I want to avoid.
2 columns
library(shinythemes)
library(shiny)
rm(list = ls())
ui <- navbarPage('Example',id = "inTabset",
tabPanel(title = "Example_1", value = "Example_1",
fluidPage(
tags$b( h4("Example_1", align = "left")),
theme = shinytheme("paper"),
fluidRow(
column(6,checkboxGroupInput("checkGroup1", label ="",
choices = c(1,2,3,4),
selected = c(1,4)) ),
column(6,checkboxGroupInput("checkGroup2", label ="",
choices = c(5,6,7,8),
selected = c(7)) )
),
br()
),
hr(),
verbatimTextOutput("example1")
))
server <- function(input, output, session) {
output$example1 = renderPrint(input$checkGroup1)
output$example2 = renderPrint(input$checkGroup2)
}
shinyApp(ui, server)
Many thanks.
Using inline=TRUE with width="100px" will control how wide you want to display. Then use
tags$head(
tags$style(
".checkbox-inline{margin-left:10px;"
)
)
to indent the first row. Try this
library(shinythemes)
library(shiny)
rm(list = ls())
ui <- navbarPage('Example',id = "inTabset",
tabPanel(title = "Example_1", value = "Example_1",
fluidPage(
tags$b( h4("Example_1", align = "left")),
theme = shinytheme("paper"),
fluidRow(
column(6,checkboxGroupInput("checkGroup", label ="", width="100px", inline=TRUE,
choices = c(1,2,3,4,5,6,7,8),
selected = c(1,4,7)) )
),
br()
),
hr(),
verbatimTextOutput("example1")
),
tags$head(
tags$style(
".checkbox-inline{margin-left:10px;"
)
),
tabPanel(title = "Example_2", value = "Example_2",
fluidPage(
tags$b( h4("Example_2", align = "left")),
br(),
fluidRow(
column(4, uiOutput("VarsInput")),
fluidRow(verbatimTextOutput("dataInfo")),
br(),
hr())
)
))
server <- function(input, output, session) {
output$example1 = renderPrint(input$checkGroup)
### output$example2 = ????
### i.e what data (a,b,c,d,e or f) has been chosen from the selectInput below?
K <- reactive({
length(input$checkGroup)
})
output$VarsInput <- renderUI({
NoV = K()
C = sapply(1:(ceiling(NoV)), function(i){paste0(input$checkGroup[i])})
output = tagList()
for(i in seq_along(1:ceiling(NoV))){
output[[i]] = tagList()
output[[i]][[1]] = selectInput(C[i], C[i], c("",c("a","b","c","d","e","f")))
}
output
})
}
shinyApp(ui, server)

Is there a way to dynamically selectInput and have its respectivelly textInput arranged like flowLayout?

In the following code the textInput does not stay inside the dashboardSidebar. I would like to have it structured like in 3 columns and the number of rows would depend on the number of items selected using the selectInput.
library(shiny)
ui <- dashboardPage(
skin = "black",
title = "Dashboard",
dashboardHeader(
title = "Dashboard",
titleWidth = 451
),
dashboardSidebar(
width = 451,
sidebarMenu(
fileInput('file1', 'Select File', accept=c('text/csv','text/comma-separated-values,text/plain','.csv'), width = 450),
textInput("avg_info", "Population Info", placeholder = "Enter values separated by a comma", width = 450),
br(),
actionButton("Btn_run", "Run"),
hr(),
uiOutput("sel_inp"),
uiOutput("text_sel"),
br(),
uiOutput("ui1"),
br()
)
),
dashboardBody()
)
server <- shinyServer(function(input, output, session) {
# Track the number of input boxes to render
observeEvent(input$Btn_run, {
output$sel_inp <- renderUI({
selectInput("COLUMN", "Selection", choices = paste0("Item",1:15), multiple = TRUE, width = 450)
})
output$text_sel <- renderUI({
trait_names <- input$COLUMN
n <- length(trait_names)
if (n > 0) {
interaction <- lapply(seq_len(n), function(i) {
textInput(inputId = trait_names[i],
label = trait_names[i],
width = 140)
})
do.call(flowLayout, interaction) # tagList
}
})
})
})
shinyApp(ui, server)
Is there a way to do that? Thank you.
This might not be the best solution, but it gave me the expected layout result.
library(shiny)
ui <- shinyUI(
pageWithSidebar(
headerPanel("Add Features"),
sidebarPanel(width=4,
fluidRow(column(12,
fileInput('file1', 'Select File', accept=c('text/csv','text/comma-separated-values,text/plain','.csv'), width = 450),
textInput("avg_info", "Population Info", placeholder = "Enter values separated by a comma", width = 450),
br(),
actionButton("Btn_run", "Run"),
hr(),
uiOutput("sel_inp"),)), # END fluidRow
fluidRow(
column(2, uiOutput("text_sel1")),
column(2, uiOutput("text_sel2")),
column(2, uiOutput("text_sel3")),
column(2, uiOutput("text_sel4"))
) # END fluidRow
), # END sidebarPanel
mainPanel()
)
)
server <- shinyServer(function(input, output, session) {
# Track the number of input boxes to render
observeEvent(input$Btn_run, {
output$sel_inp <- renderUI({
selectInput("COLUMN", "Selection", choices = paste0("Item",1:15), multiple = TRUE, width = 450)
})
output$text_sel1 <- renderUI({
trait_names <- input$COLUMN
if (length(trait_names) > 0) {
interaction1 <- lapply(seq(1,length(trait_names), by = 3), function(i) {
textInput(inputId = trait_names[i], label = trait_names[i], width = 140)
})
do.call(tagList, interaction1)
}
})
output$text_sel2 <- renderUI({
trait_names <- input$COLUMN
if (length(trait_names) > 1) {
interaction2 <- lapply(seq(2,length(trait_names), by = 3), function(i) {
textInput(inputId = trait_names[i], label = trait_names[i], width = 140)
})
do.call(tagList, interaction2)
}
})
output$text_sel3 <- renderUI({
trait_names <- input$COLUMN
if (length(trait_names) > 2) {
interaction3 <- lapply(seq(3,length(trait_names), by = 3), function(i) {
textInput(inputId = trait_names[i], label = trait_names[i], width = 140)
})
do.call(tagList, interaction3)
}
})
output$text_sel4 <- renderUI({
trait_names <- input$COLUMN
if (length(trait_names) > 3) {
interaction4 <- lapply(seq(4,length(trait_names), by = 3), function(i) {
textInput(inputId = trait_names[i], label = trait_names[i], width = 140)
})
do.call(tagList, interaction4)
}
})
})
})
shinyApp(ui, server)

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