在下面的玩具示例中,我在侧边栏中有很多滑块。对于最后一些,我再也看不到右边的情节了。有没有解决这个问题的方法,不涉及删除滑块?
# 01-kmeans-app
palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
"#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
library(shiny)
ui <- fluidPage(
headerPanel('Iris k-means clustering'),
sidebarPanel(
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('ycol', 'Y Variable', names(iris),
selected = names(iris)[[2]]),
numericInput('clusters', 'Cluster count', 3,
min = 1, max = 9)
),
mainPanel(
plotOutput('plot1')
)
)
server <- function(input, output) {
selectedData <- reactive({
iris[, c(input$xcol, input$ycol)]
})
clusters <- reactive({
kmeans(selectedData(), input$clusters)
})
output$plot1 <- renderPlot({
par(mar = c(5.1, 4.1, 0, 1))
plot(selectedData(),
col = clusters()$cluster,
pch = 20, cex = 3)
points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
})
}
shinyApp(ui = ui, server = server)
答案 0 :(得分:4)
您可以尝试向侧边栏添加向下滚动条
# 01-kmeans-app
palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
"#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
library(shiny)
ui <- fluidPage(
headerPanel('Iris k-means clustering'),
sidebarPanel(id = "tPanel",style = "overflow-y:scroll; max-height: 600px; position:relative;",
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('xcol', 'X Variable', names(iris)),
selectInput('ycol', 'Y Variable', names(iris),
selected = names(iris)[[2]]),
numericInput('clusters', 'Cluster count', 3,
min = 1, max = 9)
),
mainPanel(
plotOutput('plot1')
)
)
server <- function(input, output) {
selectedData <- reactive({
iris[, c(input$xcol, input$ycol)]
})
clusters <- reactive({
kmeans(selectedData(), input$clusters)
})
output$plot1 <- renderPlot({
par(mar = c(5.1, 4.1, 0, 1))
plot(selectedData(),
col = clusters()$cluster,
pch = 20, cex = 3)
points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
})
}
shinyApp(ui = ui, server = server)