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shiny app moved to app folder and seperate files for possible shinylive deploy
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6 changed files with 229 additions and 211 deletions
224
R/shiny_cast.R
224
R/shiny_cast.R
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@ -3,211 +3,18 @@
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#' @return shiny server
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#' @export
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server_factory <- function() {
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function(input, output, session) {
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require(REDCapCAST)
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## Trial and error testing
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# dat <- read_input(file = here::here("data/mtcars_redcap.csv"))
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#
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# dd <- ds2dd_detailed(data = dat)
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#
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# write.csv(purrr::pluck(dd, "meta"),file = "dd_test.csv",row.names = FALSE,na = "")
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#
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# View(as.data.frame(purrr::pluck(dd, "meta")))
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#
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# REDCapR::redcap_metadata_write(
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# ds = as.data.frame(purrr::pluck(dd, "meta")),
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# redcap_uri = "https://redcap.au.dk/api/",
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# token = "21CF2C17EA1CA4F3688DF991C8FE3EBF"
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# )
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#
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# REDCapR::redcap_write(
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# ds = as.data.frame(purrr::pluck(dd, "data")),
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# redcap_uri = "https://redcap.au.dk/api/",
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# token = "21CF2C17EA1CA4F3688DF991C8FE3EBF"
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# )
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dat <- shiny::reactive({
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shiny::req(input$ds)
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read_input(input$ds$datapath)
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})
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dd <- shiny::reactive({
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ds2dd_detailed(data = dat())
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})
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output$data.tbl <- shiny::renderTable({
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dd() |>
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purrr::pluck("data") |>
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head(20) |>
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dplyr::tibble()
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})
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output$meta.tbl <- shiny::renderTable({
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dd() |>
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purrr::pluck("meta") |>
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dplyr::tibble()
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})
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# Downloadable csv of dataset ----
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output$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)
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}
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)
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# Downloadable csv of data dictionary ----
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output$downloadMeta <- shiny::downloadHandler(
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filename = "dictionary_ready.csv",
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content = function(file) {
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write.csv(purrr::pluck(dd(), "meta"), file, row.names = FALSE)
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}
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)
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output_staging <- shiny::reactiveValues()
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output_staging$meta <- output_staging$data <- NA
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shiny::observeEvent(input$upload.meta,{ upload_meta() })
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shiny::observeEvent(input$upload.data,{ upload_data() })
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upload_meta <- function(){
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# output_staging$title <- paste0("random number ",runif(1))
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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$api
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)|> purrr::pluck("success")
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}
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upload_data <- function(){
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# output_staging$title <- paste0("random number ",runif(1))
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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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}
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source(here::here("app/server.R"))
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server
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}
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#' UI factory for shiny app
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#'
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#' @return shiny ui
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#' @export
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ui_factory <- function() {
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# require(ggplot2)
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source(here::here("app/ui.R"))
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shiny::fluidPage(
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## -----------------------------------------------------------------------------
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## Application title
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## -----------------------------------------------------------------------------
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shiny::titlePanel("Simple REDCap data base creation and data upload from data set file via API",
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windowTitle = "REDCap databse creator"
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),
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shiny::h5("Please note, that this tool serves as a demonstration of some of the functionality
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of the REDCapCAST package. No responsibility for data loss or any other
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problems will be taken."),
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## -----------------------------------------------------------------------------
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## Side panel
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## -----------------------------------------------------------------------------
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shiny::sidebarPanel(
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shiny::h4("REDCap database and dataset"),
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shiny::fileInput("ds", "Choose data file",
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multiple = FALSE,
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accept = c(
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".csv",
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".xls",
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".xlsx",
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".dta"
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)
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),
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shiny::h6("Below you can download the dataset formatted for upload and the
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corresponding data dictionary for a new data base."),
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# Button
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shiny::downloadButton("downloadData", "Download data"),
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# Button
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shiny::downloadButton("downloadMeta", "Download dictionary"),
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# Horizontal line ----
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shiny::tags$hr(),
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shiny::h4("REDCap upload"),
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shiny::textInput(
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inputId = "uri",
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label = "URI",
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value = "https://redcap.au.dk/api/"
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),
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shiny::textInput(
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inputId = "api",
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label = "API key",
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value = "21CF2C17EA1CA4F3688DF991C8FE3EBF"
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),
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shiny::actionButton(
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inputId = "upload.meta",
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label = "Upload dictionary", icon = shiny::icon("book-bookmark")
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),
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shiny::h6("Please note, that before uploading any real data, put your project
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into production mode."),
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shiny::actionButton(
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inputId = "upload.data",
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label = "Upload data", icon = shiny::icon("upload")
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),
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# Horizontal line ----
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shiny::tags$hr()
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),
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shiny::mainPanel(
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shiny::tabsetPanel(
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## -----------------------------------------------------------------------------
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## Summary tab
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## -----------------------------------------------------------------------------
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shiny::tabPanel(
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"Summary",
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shiny::h3("Data overview (first 20)"),
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shiny::htmlOutput("data.tbl", container = shiny::span),
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shiny::h3("Dictionary overview"),
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shiny::htmlOutput("meta.tbl", container = shiny::span)
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),
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## -----------------------------------------------------------------------------
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## Upload tab
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## -----------------------------------------------------------------------------
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shiny::tabPanel(
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"Upload",
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shiny::h3("Meta upload overview"),
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shiny::htmlOutput("upload.meta.print", container = shiny::span),
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shiny::h3("Data upload overview"),
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shiny::htmlOutput("upload.data.print", container = shiny::span)
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)
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)
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)
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)
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}
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#' Launch the included Shiny-app for database casting and upload
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@ -227,6 +34,25 @@ shiny_cast <- function() {
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)
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}
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shiny_cast()
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# ds <- REDCapR::redcap_metadata_read(redcap_uri = "https://redcap.au.dk/api/",
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# token = "21CF2C17EA1CA4F3688DF991C8FE3EBF")
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#' Deploy the Shiny app with rsconnect
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#'
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#' @return deploy
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#' @export
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#'
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#' @examples
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#' # deploy_shiny
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#'
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deploy_shiny <- function(path=here::here("app/"), name.app="shiny_cast"){
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# Ensure to install latest package version
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renv::install("agdamsbo/REDCapCAST")
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# Connecting
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rsconnect::setAccountInfo(
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name = "cognitiveindex",
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token = keyring::key_get(service = "rsconnect_cognitiveindex_token"),
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secret = keyring::key_get(service = "rsconnect_cognitiveindex_secret")
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)
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# Deploying
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rsconnect::deployApp(appDir = path,lint = TRUE,appName = name.app,)
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}
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