library(shinydashboard)
library(shinyalert)
library(vroom)
library(xtable)
library(data.table)
mergedataUI <- function(id){
ns <- NS(id)
# Thanks to the namespacing, we only need to make sure that the IDs
# are unique within this function, rather than unique across the entire app.
tagList(
box(title = "help merge dataa", width = 12, collapsible = TRUE, collapsed = TRUE, htmlOutput(ns("htmlhelp"))),
fluidRow(
column(12, fileInput(ns("file_data1"), label = "choose D.Rda file ", accept = c(".Rda"))),
),
fluidRow(
column(12, fileInput(ns("file_data2"), label = "choose D.Rda file", accept = c(".Rda"))),
),
tableOutput(ns("head_data")),
fluidRow(
column(4,
textInput(ns("outputname"),"enter output name", value = "01"),
),
),
fluidRow(
column(4, actionButton(ns("estimate"),"perform the merge")
),
),
useShinyalert(),
)
}
mergedataServer <- function(id) {
moduleServer(
id,
function(input, output, session) {
ns<-session$ns
observeEvent(input$estimate, {
cat(file = stderr(), "observeEvent(input$estimate in mergedataServer\n")
cat(file=stderr(), paste0("in mergedataServerdirx in which data dir will be created = ",g_datarootpath(),"\n" ))
req(input$outputname)
# diese Funktion fuert das preprocessing durch und speichert alle Dateien
cat(file = stderr(), "perform_mergedata now... please wait ...\n")
perform_mergedata(g_datarootpath(),
datafilename1 = input$file_data1$datapath,
datafilename2 = input$file_data2$datapath,
postfix = input$outputname,
inshiny = TRUE)
})
output$htmlhelp <- renderUI({
# if (showhtml()){
includeMarkdown("./documentation/mergedata_markdown.md")
# }
})
}
)
}
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