Shiny?library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}
# Run the application
shinyApp(ui = ui, server = server)ui <- fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}sliderInput()plotOutput()fluidPage(), sidebarLayout(), …InputfctInput( 'id' , 'label', ...)textOutput('id'), verbatimTextOutput('id')
tableOutput('id'), dataTableOutput('id')
plotOutput('id')
textOutput('id'), verbatimTextOutput('id')
tableOutput('id'), dataTableOutput('id')
plotOutput('id')
textOutput('id'), verbatimTextOutput('id')
tableOutput('id'), dataTableOutput('id')
plotOutput('id')
textOutput('id'), verbatimTextOutput('id')
tableOutput('id'), dataTableOutput('id')
plotOutput('id')
textOutput('id'), verbatimTextOutput('id')
tableOutput('id'), dataTableOutput('id')
plotOutput('id')
textOutput('id'), verbatimTextOutput('id')
tableOutput('id'), dataTableOutput('id')
plotOutput('id')
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}distplot est l’id qui sera dans plotOutput()plotOutput('displot' )renderdf_unemp.rds reactable selectInput()