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I tried to make dynamic Tab using argonDash package. However, I met some trouble with my code.
I guess argonDash seems to get different behavior than native shiny because argonDash uses Bootstrap 4 (instead of 3).
My code is composed of two key features:
The first widget uiOutput(outputId = "new_argonSidebarItem") works well.
The second widget uiOutput(outputId = "new_argonTabItem") doesn't work properly. I expect that the argonBadge() toggle with the second tab.
library(shiny)
library(argonDash)
library(argonR)
ui <- argonDashPage(
sidebar = argonDashSidebar(
id = "sidebar01",
vertical = FALSE,
size = "md",
background = "white",
argonSidebarMenu(
style = "display:-webkit-inline-box;",
argonSidebarItem(
tabName = "Tab1",
icon = NULL,
"Dashboard"
),
# New Tab
uiOutput(outputId = "new_argonSidebarItem")
)
),
body = argonDashBody(
argonTabItems(
argonTabItem(
tabName = "Tab1",
actionButton("add_more", "Add a new btn")
),
# Body
uiOutput(outputId = "new_argonTabItem")
)
)
)
server <- function(input, output, session) {
observeEvent(input$add_more, {
tabId <- sample.int(n = 1000000, size = 1)
tabName <- paste0("Tab_", tabId)
insertUI(
selector = "#tab-Tab1",
where = "afterEnd",
ui = argonSidebarItem(
tabName = tabName,
tabName
)
)
output$new_argonTabItem <- renderUI({
argonTabItem(
tabName = tabName,
argonBadge(
text = tabName,
src = "#",
pill = FALSE,
status = "success"
)
)
})
})
}
shinyApp(ui, server)
Thank you for your time!
To update your badge you need to track which tab is selected. This is done accordingly to this solution : https://github.com/RinteRface/argonDash/issues/7
But your badge can not be modified, so I replaced it with a button from {shinyWidgets}.
I hope this is what you ask for, I'm not really sure to understand what you want to happen.
library(shiny)
library(argonDash)
library(argonR)
library(shinyWidgets)
ui <- argonDashPage(
sidebar = argonDashSidebar(
id = "sidebar01",
vertical = FALSE,
size = "md",
background = "white",
argonSidebarMenu(
style = "display:-webkit-inline-box;",
argonSidebarItem(
tabName = "Tab1",
icon = NULL,
"Dashboard"
),
# New Tab
uiOutput(outputId = "new_argonSidebarItem")
)
),
body = argonDashBody(
argonTabItems(
argonTabItem(
tabName = "Tab1",
actionButton("add_more", "Add a new btn")
),
# Body
uiOutput(outputId = "new_argonTabItem")
),
tags$script( "$(document).on('click', function(event) {
Shiny.onInputChange('activeTab', $('.active').data().value);});")
)
)
server <- function(input, output, session) {
x <- reactiveValues(tabs = NULL)
observeEvent(input$add_more, {
tabId <- sample.int(n = 1000000, size = 1)
tabName <- paste0("Tab_", tabId)
insertUI(
selector = "#tab-Tab1",
where = "afterEnd",
ui = argonSidebarItem(
tabName = tabName,
tabName
)
)
output$new_argonTabItem <- renderUI({
argonTabItem(
tabName = tabName,
actionBttn(
inputId = paste0(input$activeTab,"_b"),
label = tabName,
style = "float",
color = "success"
)#,
# argonBadge(
# text = tabName,
# src = "#",
# pill = FALSE,
# status = "success"
# )
)
})
})
observeEvent(input$activeTab, {
updateActionButton(session,
paste0(input$activeTab,"_b"),
input$activeTab)
})
}
shinyApp(ui, server)
It appears the input value of a selectInput object is not updating. I have inserted one in the sidebar menu. I am using shinyDashboard. here is my code.
header & Sidebar
header <-
dashboardHeader(
title = "REPORT",
tags$li(class = "dropdown",
tags$style(
HTML(
"#import url('//fonts.googleapis.com/css?family=Libre+Baskerville:400,700|Open+Sans:400,700|Montserrat:400,700');"
)
)),
disable = FALSE,
titleWidth = '200'
)
header$children[[3]]$children[[3]] <-
tags$h1("DATABASE",
# align = 'left',
style = "color:#FFFFFF; font-weight: bold; font-family: 'Open Sans','Libre Baskerville',Montserrat, serif;font-size: 23px;")
data_type_list<-c('in vivo','in vitro','pbpk')
siderbar <- dashboardSidebar(
width = 200,
sidebarMenu(
id = 'sidebar',
style = "position: relative; overflow: visible;",
menuItem(
"TK Knowlegebase",
tabName = 'tk',
icon = icon('database'),
badgeColor = "teal",
#radioButtons("tk_data_type", "Select Data Type:",data_type_list)
selectInput('tk_data_type',"Select Data Type",data_type_list, selected=1)
)
)
)
body
body <- dashboardBody(width = 870,
tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "custom.css")
),
#theme = shinythemes::shinytheme("darkly"),
tabItems(
tabItem (
tabName = "tk",
mainPanel(
#in vivo ----
conditionalPanel(
condition ="input.tk_data_type== 'in vivo'",
tags$h2('vivo')
),
# in vitro ----
conditionalPanel(
condition="input.tk_data_type== 'in vitro'",
tags$h2('vitro')
)
,
# pbpk ----
conditionalPanel(
condition="input.tk_data_type== 'pbpk'",
tags$h2('pbpk')
)
)))
server = function(input, output, session) {
observe({input$tk_data_type})
}
ui <- dashboardPage(title = 'ARC Toxkin App', skin = 'purple',
header, siderbar, body)
shiny::shinyApp(ui = ui, server = server)
I even attempted to use observe({input$tk_data_type}) in the server section to no success.
What I obtain is a blank page. what I wish to see is content from dashboardBody() appear.
Thank you for your time
UPDATE
This is a short-term fix solution, thanks to user YBS.
vitro_tabset<-tabsetPanel(
tabPanel("Detailed",
"This is a test"),
tabPanel("Phys-chem",
"This is a test"),
tabPanel("Exploratory",
"This is a test"),
tabPanel("Downloads",
"This is a test")
)
vivo_tabset<-tabsetPanel(
tabPanel("Detailed",
"This is a test"),
tabPanel("Phys-chem",
"This is a test"),
tabPanel("Exploratory",
"This is a test"),
tabPanel("Downloads",
"This is a test")
)
siderbar <- dashboardSidebar(
sidebarMenu(
id = 'sidebar',
menuItem(
"TK Knowlegebase",
tabName = 'tk',
icon = icon('database'),
badgeColor = "teal",
selected = TRUE,
startExpanded = TRUE,
#radioButtons("tk_data_type2", "Select Data Type:",data_type_list),
menuSubItem('vivo', tabName = 'vivo', icon = shiny::icon("angle-double-right"), selected = NULL),
menuSubItem('vitro', tabName = 'vitro', icon = shiny::icon("angle-double-right"), selected = TRUE),
menuSubItem('pbpk', tabName = 'pbpk', icon = shiny::icon("angle-double-right"), selected = NULL)
)
)
)
body <- dashboardBody(width = 870,
tabItems(
tabItem (tabName = "vivo",
vivo_tabset),
tabItem(tabName='vitro',
# in vitro ----
vitro_tabset),
# pbpk ----
tabItem(tabName='pbpk')
It appears that tabItems() and tabItem() don't work well in your program as the sidebarmenu requires minor tweaking. Also, you don't need mainPanel. Try this
data_type_list <- c("in vivo","in vitro","pbpk")
ui <- shinydashboard::dashboardPage(title = "ARC Toxkin App", skin = "purple",
shinydashboard::dashboardHeader(
title = "REPORT" ,
tags$li(class = "dropdown",
tags$style(
HTML(
"#import url('//fonts.googleapis.com/css?family=Libre+Baskerville:400,700|Open+Sans:400,700|Montserrat:400,700');"
)
)),
disable = FALSE,
titleWidth = '200'
),
shinydashboard::dashboardSidebar(width = 220,
useShinyjs(),
sidebarMenu(
id = "tabs",
style = "position: relative; overflow: visible;",
menuItem("TK Knowlegebase", tabName="tk", icon = icon("bar-chart-o"),
menuSubItem("TK Knowlegebase1", tabName = "tk1", icon = icon('database')),
selectInput("tk_data_type", label="Select Data Type", choices = data_type_list, selected=1),
menuSubItem("TK Knowlegebase2", tabName = "tk2", icon = icon('database'))
#radioButtons("tk_data_type2", "Select Data Type:",data_type_list)
)
)
),
shinydashboard::dashboardBody( #width = 870,
tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "custom.css"),
),
#theme = shinythemes::shinytheme("darkly"),
tabItems(
#tabItem(tabName = "tk", headerPanel('First')),
tabItem(tabName = "tk1",
fluidRow(
shinydashboard::box(title = "Graphics Package", width = 12, solidHeader = TRUE, status="info",
## vivo
conditionalPanel(
condition = "input.tk_data_type == 'in vivo'",
tags$h2(' vivo')
),
## in vitro
conditionalPanel(
condition = "input.tk_data_type == 'in vitro'",
tags$h2(' vitro')
),
## pbpk
conditionalPanel(
condition = "input.tk_data_type == 'pbpk'",
tags$h2(' pbpk')
),
verbatimTextOutput("tb1"),
DTOutput("tb2")
))
),
tabItem(tabName = "tk2", headerPanel('Last'), DTOutput("tb3")
#verbatimTextOutput("tb4")
)
)
)
)
server <- function(input, output, session) {
output$tb3 <- renderDT(mtcars)
output$tb2 <- renderDT(iris)
output$tb1 <- renderPrint({input$tk_data_type})
output$tb4 <- renderPrint({input$tk_data_type2})
}
shinyApp(ui, server)
Hello I have a simple shiny app which includes a line graph. Firstly the user selects BOTH CHOICES of the checkboxgroup then the dateRangeInput() loads the relative dates and then I want to be able to create a line graph which will have this date range in the x-axis. I am not sure which is the correct way to give the date range as input to my plot.
OriginId = c("INT", "DOM", "INT","DOM","INT","DOM")
RequestedDtTm = c("2017-01-16 16:43:33
", "2017-01-17 16:43:33
", "2017-01-18 16:43:33
","2017-01-19 16:43:33",
"2017-01-18 16:43:33
","2017-01-19 16:43:33" )
ClientZIP=c(20000,24455,56000,45000,80000,45000)
testdata = data.frame(OriginId,RequestedDtTm,ClientZIP)
## ui.R ##
library(shinydashboard)
library(plotly)
dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody()
)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(title = "Basic dashboard"),
## Sidebar content
dashboardSidebar(
sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Change View", tabName = "widgets", icon = icon("th"))
)
),
## Body content
dashboardBody(
tabItems(
# First tab content
tabItem(tabName = "dashboard",
fluidRow(
box(plotlyOutput("plot3",height = 250))
)
),
# Second tab content
tabItem(tabName = "widgets",
fluidRow(
box(title="Line Graph",width = 12,
column(4,
checkboxGroupInput("checkGroup4", label = h3("Checkbox group"),
choices = list("Show Domestic" = "DOM", "Show International" = "INT"),
selected = "DOM")
),
column(4,
uiOutput("dt3")
),
column(4,
uiOutput("n3")
)
))
)
)
)
)
server <- function(input, output) {
output$plot3 <- renderPlotly({
data<-subset(testdata[,c(2,3)],testdata$OriginId %in% input$checkGroup4)
p <- plot_ly(data, x = format(as.Date(input$dateRange3), "%Y-%m"), y = ~ClientZIP, type = 'scatter', mode = 'lines')
})
output$dt3<-renderUI({
dateRangeInput('dateRange3',
label = 'Date range',
start = min(subset(as.POSIXct(testdata$RequestedDtTm),testdata$OriginId %in% input$checkGroup4)), end = max(subset(as.POSIXct(testdata$RequestedDtTm),testdata$OriginId %in% input$checkGroup4))
)
})
}
Here is a working example. When using dateRangeInput() you need to extract both, min (input$dateRange3[1]) and max (input$dateRange3[2]) values. Hope it helps.
OriginId = c("INT", "DOM", "INT","DOM","INT","DOM")
RequestedDtTm = c("2017-01-16", "2017-01-17", "2017-01-18","2017-01-19", "2017-01-18","2017-01-19")
ClientZIP=c(20000,24455,56000,45000,80000,45000)
testdata = data.frame(OriginId,RequestedDtTm,ClientZIP)
dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody()
)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(title = "Basic dashboard"),
## Sidebar content
dashboardSidebar(
sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Change View", tabName = "widgets", icon = icon("th"))
)
),
## Body content
dashboardBody(
tabItems(
# First tab content
tabItem(tabName = "dashboard",
fluidRow(
box(plotlyOutput("plot3"))
)
),
# Second tab content
tabItem(tabName = "widgets",
fluidRow(
box(title="Line Graph",width = 12,
column(4,
checkboxGroupInput("checkGroup4", label = h3("Checkbox group"),
choices = list("Show Domestic" = "DOM", "Show International" = "INT"),
selected = "DOM")
),
column(4,
uiOutput("dt3")
),
column(4,
uiOutput("n3")
)
))
)
)
)
)
server <- function(input, output) {
output$plot3 <- renderPlotly({
data <- dplyr::tbl_df(subset(testdata[,c(2,3)],testdata$OriginId %in% input$checkGroup4))
date_start <- as.character(input$dateRange3[1])
date_end <- as.character(input$dateRange3[2])
data$RequestedDtTm <- as.Date(data$RequestedDtTm, format = "%Y-%m-%d")
# data <- data %>% filter(RequestedDtTm >= date_start & RequestedDtTm <= date_end)
data <- data[as.Date(data$RequestedDtTm) >= date_start & as.Date(data$RequestedDtTm) <= date_end, ]
p <- plot_ly(data, x = ~RequestedDtTm, y = ~ClientZIP, type = 'scatter', mode = 'lines')
})
output$dt3<-renderUI({
dateRangeInput('dateRange3',
label = 'Date range',
start = min(subset(as.POSIXct(testdata$RequestedDtTm),testdata$OriginId %in% input$checkGroup4)), end = max(subset(as.POSIXct(testdata$RequestedDtTm),testdata$OriginId %in% input$checkGroup4))
)
})
}
shinyApp(ui, server)
hi i im trying to have the 'choices' in my pickerInput be dependent on what the user types in the search bar above. im using a spotify r package and if you search a certain artist the api returns a table of artists of the similar name and you need to choose which artist you want. anyways i want that table to go into the pickerInput and i can't seem to get it work.
ui <- dashboardPage(skin = "green",
dashboardHeader(title = "Lyric Prediction"),
dashboardSidebar(
sidebarMenu(
menuItem("Overview", tabName = "Overview", icon = icon("search")),
menuItem("Analysis", tabName = "Analysis", icon = icon("bar-chart-o"))
)
),
dashboardBody(
tags$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)
I have an shinydashboard app, the app get an filter box and a tabset which show a datatatable depending on filter.
I have a reset button which reset the filters whith shinyjs::reset function, and I want to reset also the tableset and showing the complete table or nothing.
I want also to do it for a valuboxes.
My app is like this :
For server interface I have an basic : output$tableprint_A <- DT::renderDataRable ({})
ui :
body <- dashboardBody(
tabItems(
#### First tab item #####
tabItem(tabName = "fpc",
fluidRow(
infoBoxOutput("kpm_inf", width = 6),
infoBoxOutput(outputId = "fpc_inf", width = 6)
),
fluidRow(
box(title = "Variables filter",
shinyjs::useShinyjs(),
id = "side_panel",
br(),
background = "light-blue",
solidHeader = TRUE,
width = 2,
selectInput("aaa", "aaa", multiple = T, choices = c("All", as.character(unique(fpc$aaa))))
br(),
br(),
p(class = "text-center", div(style = "display:inline-block", actionButton("go_button", "Search",
icon = icon("arrow-circle-o-right"))),
div(style = "display:inline-block", actionButton("reset_button", "Reset",
icon = icon("repeat")))),
p(class = 'text-center', downloadButton('dl_fpc', 'Download Data'))),
tabBox(
title = tagList(),
id = "tabset1",
width = 10,
tabPanel(
"A \u2030 ",
DT::dataTableOutput("tableprint_A"),
bsModal(id = 'startupModal', title = 'Update message', trigger = '',
size = 'large',
tags$p(tags$h2("Last update of A : 01/09/2017",
br(), br(),
"Last update of B : 01/09/2017",
br(), br(),
"Last update of C : 01/09/2017",
style = "color:green", align = "center")))
),
tabPanel(
"B % Table",
DT::dataTableOutput("tableprint_B")),
type = "pills"
)
),
fluidRow(
# Dynamic valueBoxes
valueBoxOutput("info_gen", width = 6)
)
I tried this :
observeEvent(input$reset_button, {
output$tableprint_A <- NULL
})
Edit:
I want something like that, but when I action the search button I want it to appear again :
shinyjs::onclick("reset_button",
shinyjs::toggle(id = "tableprint_A", anim = TRUE))
You should try this out:
output$tableprint_A <- renderDataTable({
if(input$reset_button == 1) {
NULL
}else{
datatable(...)
}
})
if the button is clicked then nothing will be displayed, else the datatable is shown.
[EDIT]
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(selectInput("select", "select", choices = unique(iris$Species), multiple = T),
actionButton("go_button", "Search",
icon = icon("arrow-circle-o-right")),
actionButton("reset_button", "Reset",
icon = icon("repeat")),
DT::dataTableOutput('tbl')),
server = function(input, output) {
values <- reactiveValues(matrix = NULL)
observe({
if (input$go_button == 0)
return()
values$matrix <- iris[iris$Species %in% input$select, ]
})
observe({
if (input$reset_button == 0)
return()
values$matrix <- NULL
})
output$tbl = DT::renderDataTable({
datatable(values$matrix, options = list(lengthChange = FALSE))}
)
}
)