Nothing
library(shiny)
library(bslib)
library(visNetwork)
library(dockViewR)
nodes <- data.frame(id = 1:3)
edges <- data.frame(from = c(1, 2), to = c(1, 3))
ui <- page_fillable(
selectInput("selected", "Select Panel", choices = NULL),
dockViewOutput("dock"),
)
server <- function(input, output, session) {
exportTestValues(
panel_ids = get_panels_ids("dock"),
active_group = get_active_group("dock"),
grid = get_grid("dock")
)
observeEvent(
req(length(get_panels_ids("dock")) > 0),
{
panels <- get_panels_ids("dock")
updateSelectInput(
session,
"selected",
choices = panels,
selected = panels[1]
)
},
once = TRUE
)
observeEvent(req(nchar(input$selected) > 0), {
select_panel("dock", input$selected)
})
output$dock <- renderDockView({
dock_view(
panels = list(
panel(
id = "1",
title = "Panel 1",
content = tagList(
sliderInput(
"obs",
"Number of observations:",
min = 0,
max = 1000,
value = 500
),
plotOutput("distPlot")
)
),
panel(
id = "2",
title = "Panel 2",
content = tagList(
visNetworkOutput("network")
)
),
panel(
id = "3",
title = "Panel 3",
content = tagList(
selectInput(
"variable",
"Variable:",
c("Cylinders" = "cyl", "Transmission" = "am", "Gears" = "gear")
),
tableOutput("data")
)
)
),
theme = "replit"
)
})
output$distPlot <- renderPlot({
req(input$obs)
hist(rnorm(input$obs))
})
output$network <- renderVisNetwork({
visNetwork(nodes, edges, width = "100%")
})
output$data <- renderTable(
{
mtcars[, c("mpg", input$variable), drop = FALSE]
},
rownames = TRUE
)
}
shinyApp(ui, server)
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