观察基于第一个选择的updateSelectInput [英] observe updateSelectInput based on first selection

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本文介绍了观察基于第一个选择的updateSelectInput的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我的server.R具有以下代码,我希望我的Shiny应用程序可以根据国家/地区选择"来选择州,但是它在第二行中显示了所有州.我想在这里,observe只是观察不到执行任何操作.

My server.R has the following code, I would like my Shiny app to chose States based on the Country Selection, but it shows all states in the second line. I guess here, observe is only observing not performing any action.

  shinyServer(function(input, output, session) {

      observe({
          ddf = df[df$Date>=input$daterange[1] & df$Date<=input$daterange[2],]
          updateSelectInput(session, "Country", choices = ddf$Country)
          ddf1 = subset(ddf, grepl(input$Country, ddf$State))
          updateSelectInput(session, "State", choices =  ddf1$State)  
            })

    }

基于上述选择,我想传递一些数据框进行绘图.当我选择其他国家/地区时,它会一秒钟更改状态列表,然后返回所有第一国家/地区的状态列表.如果有人可以在这里举一个例子,我真的很感激. 我的ui.R代码在下面

Based on above selection, I want to pass some data frame for plotting. When I select different country it is changing states list for a second and going back to all First country's state list. I really appreciate if some one can show an example here. My ui.R code is below

 sidebarPanel(
    wellPanel(dateRangeInput("daterange", "Date range:",
                      Sys.Date()-10,
                      Sys.Date()+10)),
    wellPanel(selectInput("Country", "Select a Country:",
                          '')),
    wellPanel(selectInput("State", "Select a State:",
                          '')))

推荐答案

我认为您的观察者中有一个冲突,因为它包含input$CountryCountry输入的更新程序.然后,我尝试将其拆分为两个观察者,并使用电抗性导体仅制作一次ddf.

I think there's like a conflict in your observer cause it contains input$Country as well as an updater for the Country input. Then I'd try to split it into two observers, and I'd use a reactive conductor to make ddf only once.

get_ddf <- reactive({
  df[df$Date>=input$daterange[1] & df$Date<=input$daterange[2],]
})
observe({
  updateSelectInput(session, "Country", choices = get_ddf()$Country)
})
observe({
  ddf1 = subset(get_ddf(), grepl(input$Country, get_ddf()$State))
  updateSelectInput(session, "State", choices =  ddf1$State)  
})

此外,您不应该在choices参数中使用列的级别而不是列本身吗?

Moreover, shouldn't you use the levels of the column rather than the column itself in the choices argument ?

observe({
  updateSelectInput(session, "Country", choices = levels(droplevels(get_ddf()$Country)))
})
observe({
  ddf1 = droplevels(subset(get_ddf(), grepl(input$Country, get_ddf()$State)))
  updateSelectInput(session, "State", choices =  levels(ddf1$State))  
})

如果CountryState列不是因素而是字符,请使用unique()而不是levels(droplevels()).

If the Country and State columns are not factors but characters, use unique() instead of levels(droplevels()).

这篇关于观察基于第一个选择的updateSelectInput的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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