问题
In this miniapp, the goal is to display raw series and it's average over the selected range:
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)
It works, even redraws the average line on the zoom ins (using mouse to select zoom date range):



However the catch is that it loses data on each redraw, hence it is impossible to zoom out. Any ideas how to rework it?
回答1:
It helps to retain full dt
dataset outside reactive
element and update the ave
(average) column based on selected reactive dygraph_date_window
.
Also, retainDateWindow
needs to be set to 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)
来源:https://stackoverflow.com/questions/30955578/r-shiny-dygraphs-series-reacting-to-date-window