mirror of
https://github.com/agdamsbo/REDCapCAST.git
synced 2024-11-23 13:50:21 +01:00
181 lines
4.1 KiB
R
181 lines
4.1 KiB
R
library(bslib)
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library(shiny)
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library(openxlsx2)
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library(haven)
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library(readODS)
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library(readr)
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library(dplyr)
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library(devtools)
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if (!requireNamespace("REDCapCAST")) {
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devtools::install_github("agdamsbo/REDCapCAST", quiet = TRUE, upgrade = "never")
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}
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library(REDCapCAST)
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server <- function(input, output, session) {
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v <- shiny::reactiveValues(
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file = NULL
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)
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ds <- shiny::reactive({
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shiny::req(input$ds)
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out <- read_input(input$ds$datapath)
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out <- out |>
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## Parses data with readr functions
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parse_data() |>
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## Converts logical to factor, preserving attributes with own function
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dplyr::mutate(dplyr::across(dplyr::where(is.logical), as_factor))
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out
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})
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dat <- shiny::reactive({
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out <- ds()
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if (!is.null(input$factor_vars)) {
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out <- out |>
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dplyr::mutate(
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dplyr::across(
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dplyr::all_of(input$factor_vars),
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as_factor
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)
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)
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}
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out
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})
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# getData <- reactive({
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# if(is.null(input$ds$datapath)) return(NULL)
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# })
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# output$uploaded <- reactive({
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# return(!is.null(getData()))
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# })
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dd <- shiny::reactive({
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shiny::req(input$ds)
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v$file <- "loaded"
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ds2dd_detailed(
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data = dat(),
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add.auto.id = input$add_id == "yes"
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)
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})
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output$uploaded <- shiny::reactive({
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if (is.null(v$file)) {
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"no"
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} else {
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"yes"
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}
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})
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shiny::outputOptions(output, "uploaded", suspendWhenHidden = FALSE)
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output$factor_vars <- shiny::renderUI({
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shiny::req(input$ds)
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selectizeInput(
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inputId = "factor_vars",
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selected = colnames(dat())[sapply(dat(), is.factor)],
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label = "Covariables to format as categorical",
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choices = colnames(dat()),
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multiple = TRUE
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)
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})
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## Specify ID if necessary
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# output$id_var <- shiny::renderUI({
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# shiny::req(input$ds)
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# selectizeInput(
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# inputId = "id_var",
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# selected = colnames(dat())[1],
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# label = "ID variable",
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# choices = colnames(dat())[-match(colnames(dat()),input$factor_vars)],
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# multiple = FALSE
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# )
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# })
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output$data.tbl <- gt::render_gt(
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dd() |>
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cast_data_overview()
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)
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output$meta.tbl <- gt::render_gt(
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dd() |>
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cast_meta_overview()
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)
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# Downloadable csv of dataset ----
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output$downloadData <- shiny::downloadHandler(
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filename = "data_ready.csv",
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content = function(file) {
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write.csv(purrr::pluck(dd(), "data"), file, row.names = FALSE, na = "")
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}
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)
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# Downloadable csv of data dictionary ----
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output$downloadMeta <- shiny::downloadHandler(
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filename = paste0("REDCapCAST_DataDictionary_", Sys.Date(), ".csv"),
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content = function(file) {
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write.csv(purrr::pluck(dd(), "meta"), file, row.names = FALSE, na = "")
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}
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)
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# Downloadable .zip of instrument ----
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output$downloadInstrument <- shiny::downloadHandler(
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filename = paste0("REDCapCAST_instrument", Sys.Date(), ".zip"),
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content = function(file) {
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export_redcap_instrument(purrr::pluck(dd(), "meta"),
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file = file,
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record.id = ifelse(input$add_id == "none", NA, names(dat())[1])
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)
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}
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)
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output_staging <- shiny::reactiveValues()
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output_staging$meta <- output_staging$data <- NA
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shiny::observeEvent(input$upload.meta, {
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upload_meta()
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})
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shiny::observeEvent(input$upload.data, {
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upload_data()
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})
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upload_meta <- function() {
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shiny::req(input$uri)
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shiny::req(input$api)
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output_staging$meta <- REDCapR::redcap_metadata_write(
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ds = purrr::pluck(dd(), "meta"),
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redcap_uri = input$uri,
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token = input$api
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) |> purrr::pluck("success")
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}
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upload_data <- function() {
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shiny::req(input$uri)
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shiny::req(input$api)
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output_staging$data <- REDCapR::redcap_write(
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ds = purrr::pluck(dd(), "data"),
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redcap_uri = input$uri,
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token = input$api
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) |> purrr::pluck("success")
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}
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output$upload.meta.print <- renderText(output_staging$meta)
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output$upload.data.print <- renderText(output_staging$data)
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# session$onSessionEnded(function() {
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# # cat("Session Ended\n")
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# unlink("www",recursive = TRUE)
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# })
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}
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