我正在尝试使用R-markdown创建一个小型闪亮的应用程序。我的应用程序看起来像:
---
title: "MySHinyApp"
author: "Eeshan Chatterjee"
date: "Wednesday 25 March 2015"
output: html_document
runtime: shiny
---
```{r, echo=FALSE}
source("~/MyAnalysis.R")
inputPanel(textInput("filepath",label = "Full path to appnexus csv export file",value = "~/Downloads/rawData.csv"))
renderText(paste0("Reading file: ",input$filepath))
mydata = reactive(
tryCatch(read.csv(text=readLines(input$filepath),header = T),
error = function(e){
return(matrix('Placeholder',1,1))
})
)
# renderText(paste(mydata()[1,],collapse = ','))
renderText("=====================================")
plotData = reactive({
analysis = analyseData(mydata())
return(analysis)
})
input_list = reactive(list(names(plotData()$inputList)))
inputPanel(selectInput("ip_selection",label = "Select Input",choices = input_list(),selected = input_list()[1]))
renderText(input$ip_selection)
```
MyAnalysis.R看起来像:
analyseData = function(data){
# Do some analysis
# ....
#Give output in the format:
analysedData = list(inputList = list("a","b","c"),otherMetrics = list(one="one"))
# "a","b","c" come from the data, essentially subsetting/modelling parameters. Can't be static, these are data-specific
return(analysedData)
}
和myData看起来像:
1,2,3,4,5,6
3,9,4,8,7,5
4,2,8,4,9,6
当我运行它时,我收到以下错误:
Error: Operation not allowed without a reactive context. (You tried to do something that can only be done from inside a reactive expression or observer)
我不确定我哪里出错了以及如何解决它。任何帮助表示赞赏!
答案 0 :(得分:3)
您正在尝试根据所选值创建ui,您忘记在此处应用闪亮的基础知识。如果UI是基于服务器端值生成的,则必须使用renderUI创建它。
我希望以下内容对您有用..我检查了我的结果,正确构建并且页面启动良好。我不知道输入文件和期望值。
---
title: "MySHinyApp"
author: "Eeshan Chatterjee"
date: "Wednesday 25 March 2015"
output: html_document
runtime: shiny
---
```{r, echo=FALSE}
library(shiny)
source('MyAnalysis.R')
inputPanel(
fileInput("filepath", label = "Full path to appnexus csv export file"#, value = "~/Downloads/rawData.csv"
))
mydata = reactive({
df = tryCatch(read.csv(text=readLines(input$filepath),header = T),
error = function(e){
return(matrix('Placeholder',1,1))
}
)
analysis = analyseData(df)
return = list(names(analysis$inputList))
}
)
renderUI(
selectInput("ip_selection",label = "Select Input",
choices = mydata(),
selected = mydata()[1]))
renderText(paste0("Reading file: ",input$filepath))
renderText("=====================================")
renderText(input$ip_selection)
```