R Shiny:dygraphs 系列对 `date_window` 的反应

R Shiny: dygraphs series reacting to `date_window`

在此小程序中,目标是显示原始系列,它是 selected 范围内的平均值:

library(dygraphs)
library(datasets)

server <- function(input, output) {

  reacteddata <- reactive({

    dt = cbind(as.xts(ldeaths),ave=NA)
    if (!is.null(input$dygraph_date_window)){
      start=strftime(input$dygraph_date_window[[1]])
      end=strftime(input$dygraph_date_window[[2]])
      subset = window(as.xts(ldeaths), start=start, end=end)
      ave = rep(mean(subset), length(subset))
      dt[index(as.xts(subset)),"ave"] = ave
      dt = dt[index(as.xts(subset))]
    } else {
      dt[,"ave"] = rep(mean(ldeaths), length(ldeaths))
    }
    dt
  })

  output$dygraph <- renderDygraph({
    dygraph(reacteddata(), main = "Predicted Deaths/Month")
  })
}

ui <- fluidPage(

  sidebarLayout(
    mainPanel(
      dygraphOutput("dygraph")
    )
  )
)

shinyApp(ui = ui, server = server)

有效,甚至在放大时重绘平均线(使用鼠标 select 缩放日期范围):

然而问题在于它在每次重绘时都会丢失数据,因此无法缩小。任何关于如何返工的想法?

它有助于在 reactive 元素之外保留完整的 dt 数据集,并根据选定的反应 dygraph_date_window 更新 ave(平均)列。 另外,retainDateWindow需要设置为TRUE

library(dygraphs); library(shiny); library(datasets); library(xts)

server <- function(input, output) {
  dt = setNames(as.xts(ldeaths), "ldeaths")
  dt = cbind(dt,ave=NA)

  reacteddata <- reactive({
    if (!is.null(input$dygraph_date_window)){
      start=strftime(input$dygraph_date_window[[1]])
      end=strftime(input$dygraph_date_window[[2]])
      subset = window(dt, start=start, end=end)
      ave = rep(mean(subset$ldeaths), nrow(subset))
      dt[index(as.xts(subset)),"ave"] = ave
    } else {
      dt[,"ave"] = rep(mean(ldeaths), length(ldeaths))
    }
    dt
  })

  output$dygraph <- renderDygraph({
    dygraph(reacteddata(), main = "Predicted Deaths/Month") %>% 
      dyOptions(retainDateWindow = TRUE)
  })
}

ui <- fluidPage(
      dygraphOutput("dygraph")
)

shinyApp(ui = ui, server = server)