爲了在閃亮的「有求必應」的元素,你需要用你的表情在reactive({...})
計算響應元件。
您可以在ui()
的server()
和uiOutput
中使用renderUI
並使用類似的方法。這裏是我使用R的一些數據集(虹膜,mtcars和鑽石)建立的一個例子:
library(shinythemes)
library(shiny)
library(ggplot2)
ui <- fluidPage(theme = shinytheme("superhero"),
titlePanel("Welcome to Responisve Shiny"),
sidebarLayout(
sidebarPanel(
selectInput("data", "Dataset:",
choices = c("mtcars", "iris", "diamonds")
),
uiOutput("x_axis"),
uiOutput("y_axis"),
uiOutput("color")
),
mainPanel(
plotOutput("distPlot")
)
)
)
server <- function(input, output) {
output$x_axis <- renderUI({
col_opts <- get(input$data)
selectInput("x_axis2", "X-Axis:",
choices = names(col_opts))
})
output$y_axis <- renderUI({
cols2 <- reactive({
col_opts2 <- get(input$data)
names(col_opts2)[!grepl(input$x_axis2, names(col_opts2))]
})
selectInput("y_axis2", "Y-Axis:",
choices = cols2(),
selected = "hp")
})
output$color <- renderUI({
col_opts <- get(input$data)
selectInput("color", "Color:",
choices = names(col_opts),
selected = "cyl")
})
output$distPlot <- renderPlot({
if(input$data == "mtcars"){
p <- ggplot(mtcars, aes_string(input$x_axis2, input$y_axis2, color = input$color)) +
geom_point()
}
if(input$data == "iris"){
p <- ggplot(iris, aes_string(input$x_axis2, input$y_axis2, color = input$color)) +
geom_point()
}
if(input$data == "diamonds"){
p <- ggplot(diamonds, aes_string(input$x_axis2, input$y_axis2, color = input$color)) +
geom_point()
}
print(p)
})
}
shinyApp(ui = ui, server = server)