Nested Tabsets in Shiny? - r

How can I create nested tabs in RShiny like the image below?
Where "Sales Performance" is the parent tab and "Open Quotes - LW" is the sub tab that rolls up under the "Sales Performance Tab"
I have a reproducible example using the iris dataset
library(shiny)
library(DT)
ui <- fluidPage(
titlePanel("Tabsets"),
sidebarLayout(
sidebarPanel(
textInput('search', "Search"),
),
mainPanel(
tabsetPanel(id = "tabsetPanelID",
type = "tabs",
tabPanel("Tab1", DTOutput('DT1')),
tabPanel("Tab2", DTOutput('DT2')),
tabPanel("Tab3", DTOutput('DT3'))
)
)
)
)
server <- function(input, output, session) {
output$DT1 = renderDT(iris)
DTProxy1 <- dataTableProxy("DT1")
output$DT2 = renderDT(iris)
DTProxy2 <- dataTableProxy("DT2")
output$DT3 = renderDT(iris)
DTProxy3 <- dataTableProxy("DT3")
observeEvent(c(input$search, input$tabsetPanelID), {
updateSearch(DTProxy1, keywords = list(global = input$search, columns = NULL))
updateSearch(DTProxy2, keywords = list(global = input$search, columns = NULL))
updateSearch(DTProxy3, keywords = list(global = input$search, columns = NULL))
})
}
shinyApp(ui, server)
What I currently have looks like the following:

You could add another tabsetPanel into each tabPanel of the main tabsetPanel.
mainPanel(tabsetPanel(
id = "tabsetPanelID",
type = "tabs",
tabPanel("Tab1", tabsetPanel(
tabPanel("SubPanelA1"), tabPanel("SubPanelA2")
)),
tabPanel("Tab2", tabsetPanel(
tabPanel("SubPanelB1"), tabPanel("SubPanelB2")
)),
tabPanel("Tab3", tabsetPanel(
tabPanel("SubPanelC1"), tabPanel("SubPanelC2")
))
))

Related

How to add a button to download to Excel or CSV in shiny app?

Context: I created a shiny app with multiple tabsets in the document. I am looking to create buttons for each tabset which allows users to download the data into an excel spreadsheet or a CSV.
Here is a reproduceable example:
library(shiny)
library(DT)
ui <- fluidPage(
titlePanel("Tabsets"),
sidebarLayout(
sidebarPanel(
textInput('search', "Search"),
),
mainPanel(
tabsetPanel(id = "tabsetPanelID",
type = "tabs",
tabPanel("Tab1", DTOutput('DT1')),
tabPanel("Tab2", DTOutput('DT2')),
tabPanel("Tab3", DTOutput('DT3'))
)
)
)
)
server <- function(input, output, session) {
output$DT1 = renderDT(iris)
DTProxy1 <- dataTableProxy("DT1")
output$DT2 = renderDT(iris)
DTProxy2 <- dataTableProxy("DT2")
output$DT3 = renderDT(iris)
DTProxy3 <- dataTableProxy("DT3")
observeEvent(c(input$search, input$tabsetPanelID), {
updateSearch(DTProxy1, keywords = list(global = input$search, columns = NULL))
updateSearch(DTProxy2, keywords = list(global = input$search, columns = NULL))
updateSearch(DTProxy3, keywords = list(global = input$search, columns = NULL))
})
}
shinyApp(ui, server)

Is it possible to add a sidebarPanel and a mainPanel in each tabPanel using navbarPage?

I have at least 2 individual apps that I want to join in one single app. Although I was using shinyDashboard, I think that it could be a good idea to try with navbarPage.
However, I don't know if it is possible to do what I want with this new approach.
To put you in a context, this is an example of my shinyDashboard. Each tab has a sidebarPanel and mainPanel. I replicated the info in all the tabs, but the idea is that each tab has different things.
However, I was thinking to have this using navbarPage. Do you know if it is possible?
Here I attach you the code that I used for the shinyDashboard:
library(shiny)
library(shinydashboard)
library(shinyWidgets)
ui <- dashboardPage(
dashboardHeader(title = "Basic dashboard"),
## Sidebar content
dashboardSidebar(
sidebarMenu(
menuItem("Tab1", tabName = "Tab1", icon = icon("th")),
menuItem("Tab2", tabName = "Tab2", icon = icon("th")),
menuItem("Tab3", tabName = "Tab3", icon = icon("th"))
)
),
dashboardBody(
fluidRow(
tabItems(
tabItem(tabName = "Tab1",
sidebarPanel(
numericInput("num",
"Select a number",
min = 1,
value = 10),
checkboxInput("remove", "Remove...", value = FALSE),
sliderInput("slider", "slider", min = 1, max = 30, value=22)
),
mainPanel(
plotOutput("plot1")
)
),
tabItem(tabName = "Tab2",
sidebarPanel(
numericInput("num2",
"Select a number",
min = 1,
value = 10),
checkboxInput("remove2", "Remove...", value = FALSE),
sliderInput("slider2", "slider", min = 1, max = 30, value=22)
),
mainPanel(
plotOutput("plot2")
)
),
tabItem(tabName = "Tab3",
sidebarPanel(
numericInput("num3",
"Select a number",
min = 1,
value = 10),
checkboxInput("remove3", "Remove...", value = FALSE),
sliderInput("slider3", "slider", min = 1, max = 30, value=22)
),
mainPanel(
plotOutput("plot3")
)
)
)
)
)
)
server <- function(input, output, session) {
output$plot1 <- renderPlot({
plot(x=c(1,2,3,4,5,6), y=c(14,3,6,4,56,2))
})
output$plot2 <- renderPlot({
plot(x=c(1,2,3,4,5,6), y=c(14,3,6,4,56,2))
})
output$plot3 <- renderPlot({
plot(x=c(1,2,3,4,5,6), y=c(14,3,6,4,56,2))
})
}
shinyApp(ui, server)
And the code for the navbarPage approach:
library(shinythemes)
library(shiny)
ui <- fluidPage(theme = shinytheme("flatly"),
navbarPage(
collapsible = T,
fluid = T,
"",
tabPanel("Tab 1", "one"),
tabPanel("Tab 2", "two"),
tabPanel("Tab 3", "three"),
)
)
server <- function(input, output, session) {
}
shinyApp(ui, server)
Thanks very much in advance
You can do that with sidebarLayout. Here I've done it for the first tabPanel:
library(shinythemes)
library(shiny)
ui <- fluidPage(
theme = shinytheme("flatly"),
navbarPage(
title = "Your App Title",
collapsible = TRUE,
fluid = TRUE,
tabPanel(
title = "Tab 1",
sidebarLayout(
sidebarPanel = sidebarPanel(
tags$h3(
"Sidebar Content Here!"
)
),
mainPanel = mainPanel(
tags$h3(
"Main Panel Content Here!"
)
)
)
),
tabPanel(
title = "Tab 2",
"three"
),
)
)
server <- function(input, output, session) {
}
shinyApp(ui, server)

Multiple tabs in ShinyApp

This code gives me one tab. I would like to be able to add more tabs to it to make some plots, use the aggregate function may be. I tired to add a second tabPanel( object inside my tabsetPanel( but did not work.
I will be obliged if someone could help me with this
library(shiny)
library(dplyr)
ui <- fluidPage(
tabsetPanel(
tabPanel("Table", fluid = TRUE,
sidebarLayout(position = "left",
sidebarPanel("sidebar panel",
selectInput(inputId = "table",
label = "Choose a Supplier",
"Names"),
actionButton(inputId = "btn",label="Update")
),
mainPanel("main panel",
tableOutput("myTable")
)))
))
server <- function(input, output,session)
{
GlassSupplier <- c('Supplier 1','Supplier 2','Supplier 1','Supplier 4','Supplier 2')
WindowType <- c('Wood','Vinyl','Aluminum','Aluminum','Vinyl')
BreakageRate <- c(7.22,6.33,3.63,2,6)
df<- data.frame(GlassSupplier,WindowType,BreakageRate)
data <- eventReactive(input$btn, {
req(input$table)
df %>% dplyr::filter(GlassSupplier %in% input$table) %>%
group_by(WindowType) %>%
dplyr::summarise(BrkRate = mean(BreakageRate))
})
#Update SelectInput Dynamically
observe({
updateSelectInput(session, "table", choices = df$GlassSupplier)
})
output$myTable = renderTable({
data()
})
}
shinyApp(ui,server)
Think of tabsetPanel as any other slider/button, you can insert it inside the sidebar, in the main panel, or before the sidebarLayout.
code for ui:
u <- shinyUI(fluidPage(
titlePanel("title panel"),
sidebarLayout(position = "left",
sidebarPanel("sidebar panel",
selectInput(inputId = "table",
label = "Choose a Supplier",
"Names"),
actionButton(inputId = "btn",label="See Table"),
checkboxInput("donum1", "Make #1 plot", value = T),
checkboxInput("donum2", "Make #2 plot", value = F),
checkboxInput("donum3", "Make #3 plot", value = F),
checkboxInput("donum4", "Make #4 plot", value = F),
sliderInput("wt1","Weight 1",min=1,max=10,value=1),
sliderInput("wt2","Weight 2",min=1,max=10,value=1),
sliderInput("wt3","Weight 3",min=1,max=10,value=1),
sliderInput("wt4","Weight 4",min=1,max=10,value=1)
),
mainPanel("main panel",
tabsetPanel(
tabPanel("Plot", column(6,plotOutput(outputId="plotgraph", width="500px",height="400px"))),
tabPanel('Table', tableOutput("myTable")))
))))

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)

shiny: pickerIntput choices based on search bar

hi i im trying to have the 'choices' in my pickerInput be dependent on what the user types in the search bar above. im using a spotify r package and if you search a certain artist the api returns a table of artists of the similar name and you need to choose which artist you want. anyways i want that table to go into the pickerInput and i can't seem to get it work.
ui <- dashboardPage(skin = "green",
dashboardHeader(title = "Lyric Prediction"),
dashboardSidebar(
sidebarMenu(
menuItem("Overview", tabName = "Overview", icon = icon("search")),
menuItem("Analysis", tabName = "Analysis", icon = icon("bar-chart-o"))
)
),
dashboardBody(
tags$head(
tags$style(HTML(".fa { font-size: 18px; }"))
),
tabItems(
# First tab content
tabItem(tabName = "Overview",
fluidRow(
column(12,
searchInput(
inputId = "search", label = "Search Artist on Spotify",
placeholder = "Search",
btnSearch = icon("search"),
btnReset = icon("remove"),
width = "500px"
)
), align = "center"
),
#HERE - how can i have pickerInput take in the output
#of "res" from the server?
fluidRow(pickerInput(choices = "res")
)),
)
)
server <- function(input, output) {
#function to take search input
#output list of possible artists
output$res <- renderTable({
#Rspotify
possibleArtists <- searchArtist(input$search,token=my_oauth)
possibleArtists <- as_tibble(possibleArtists)
myCols <- c("display_name","id")
colNums <- match(myCols,names(possibleArtists))
possibleArtists <- possibleArtists %>%
select(colNums)
possibleArtists
})
}
shinyApp(ui, server)
Use update method in an observeEvent like this:
observeEvent(input$search, {
#Rspotify
possibleArtists <- searchArtist(input$search,token=my_oauth)
possibleArtists <- as_tibble(possibleArtists)
myCols <- c("display_name","id")
colNums <- match(myCols,names(possibleArtists))
possibleArtists <- possibleArtists %>%
select(colNums)
updatePickerInput(
session = session,
inputId = "picker",
choices = possibleArtists
)
}, ignoreInit = TRUE)
Full example:
library(shiny)
library(shinydashboard)
library(shinyWidgets)
ui <- dashboardPage(
skin = "green",
dashboardHeader(title = "Lyric Prediction"),
dashboardSidebar(
sidebarMenu(
menuItem("Overview", tabName = "Overview", icon = icon("search")),
menuItem("Analysis", tabName = "Analysis", icon = icon("bar-chart-o"))
)
),
dashboardBody(
tags$head(
tags$style(HTML(".fa { font-size: 18px; }"))
),
tabItems(
# First tab content
tabItem(
tabName = "Overview",
fluidRow(
column(12,
searchInput(
inputId = "search", label = "Search Artist on Spotify",
placeholder = "Search",
btnSearch = icon("search"),
btnReset = icon("remove"),
width = "500px"
)
), align = "center"
),
pickerInput(inputId = "picker", label = "Choose an artist:", choices = NULL)
)
)
)
)
server <- function(input, output, session) {
observeEvent(input$search, {
updatePickerInput(
session = session,
inputId = "picker",
choices = c("The Beatles",
"The Beatles Recovered Band",
"Yesterday - A Tribute To The Beatles",
"The Beatles Revival Band & Orchestra")
)
}, ignoreInit = TRUE)
}
shinyApp(ui, server)

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