[英]How to get R shiny to download the data from my renderDataTable function?
因此,我一直很难尝试在我的renderDataTable
函数中获取数据以与downloadHandler
函数一起使用。 所以我遇到的问题是,当我运行闪亮的应用程序时,点击过滤器选项的复选框,选择变量性别 0(女性),然后下载数据,我得到了过滤数据的所有观察结果。
样本数据:
"","age","sex","bmi","children","smoker","region","expenses"
"1",19,"0",27.9,0,"1","0",16884.92
"2",18,"1",33.8,1,"0","1",1725.55
"3",28,"1",33,3,"0","1",4449.46
"4",33,"1",22.7,0,"0","2",21984.47
"5",32,"1",28.9,0,"0","2",3866.86
"6",31,"0",25.7,0,"0","1",3756.62
"7",46,"0",33.4,1,"0","1",8240.59
"8",37,"0",27.7,3,"0","2",7281.51
"9",37,"1",29.8,2,"0","3",6406.41
"10",60,"0",25.8,0,"0","2",28923.14
"11",25,"1",26.2,0,"0","3",2721.32
"12",62,"0",26.3,0,"1","1",27808.73
"13",23,"1",34.4,0,"0","0",1826.84
"14",56,"0",39.8,0,"0","1",11090.72
"15",27,"1",42.1,0,"1","1",39611.76
"16",19,"1",24.6,1,"0","0",1837.24
"17",52,"0",30.8,1,"0","3",10797.34
"18",23,"1",23.8,0,"0","3",2395.17
"19",56,"1",40.3,0,"0","0",10602.39
"20",30,"1",35.3,0,"1","0",36837.47
用户界面:
tabItem(tabName = "data",
h2("Insurance Data Page"),
checkboxInput("dataset","Filter option:"),
conditionalPanel(
condition = "input.dataset==true",
selectInput("sex", "Variable sex:", levels(insurance_data_update$sex))
),
dataTableOutput("data_read"),
downloadButton("data_saved","Download this data")
),
服务器.R :
#Filtering factor columns
getData <- reactive({
newData <- insurance_data_update #%>% filter(sex == input$sex)#, smoker==input$smoker, region==input$region)
})
# Reading in the data
output$data_read = renderDataTable({
#newData <- getData()
if(input$dataset==TRUE){
if(input$sex==0){
#newData <- newData %>% filter(sex==input$sex)
getData() %>% filter(sex==input$sex)
getData()
#newData
}else{
#newData <- newData %>% filter(sex==input$sex)
#newData
getData() %>% filter(sex==input$sex)
getData()
}
}else{
#newData
getData()
}
output$data_saved = downloadHandler(
filename="insurance.csv",
content = function(file){
write.csv(getData(), file)
}
)
我不完全确定我做错了什么。
任何帮助是极大的赞赏。
创建一个新的反应式元素,它只显示您的表格数据,然后将其用于表格和下载。 例如
#Filtering factor columns
getData <- reactive({
insurance_data_update
})
tableData <- reactive({
if(input$dataset==TRUE){
if(input$sex==0){
getData() %>% filter(sex==input$sex)
} else {
getData() %>% filter(sex==input$sex)
}
}else{
getData()
}
})
output$data_read = renderDataTable({
tableData()
})
output$data_saved = downloadHandler(
filename="insurance.csv",
content = function(file){
write.csv(tableData(), file)
}
)
我认为这应该有效。
编辑:可以从数据表中获取不同的输入,这将导出数据( getData()
),因为它出现在数据表中 - 这意味着您在表上所做的任何过滤都将反映以及对数据执行的过滤喂给DT
。 数据表的输出output$data_read
是输入值data_read_rows_all
,它基本上是DT 输出名称+ _rows_all
。
output$data_saved = downloadHandler(
filename="insurance.csv",
content = function(file){
write.csv(getData()[input[["data_read_rows_all"]], ], file)
}
在这里查看更多信息!
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