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@ -20,3 +20,5 @@ app
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^\.lintr$
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^CODE_OF_CONDUCT\.md$
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^~/REDCapCAST/inst/shiny-examples/casting/rsconnect$
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^inst/shiny-examples/casting/functions\.R$
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^functions\.R$
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2
.gitignore
vendored
2
.gitignore
vendored
@ -13,3 +13,5 @@ drafting
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cran-comments.md
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~/REDCapCAST/inst/shiny-examples/casting/rsconnect
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~/REDCapCAST/inst/shiny-examples/casting/rsconnect/
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inst/shiny-examples/casting/functions.R
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functions.R
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@ -1,3 +0,0 @@
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Version: 24.11.2
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Date: 2024-11-22 12:08:45 UTC
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SHA: a8f8fac245b06fef4a5e191d046bc4e9a345bf2b
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@ -1,6 +1,6 @@
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Package: REDCapCAST
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Title: REDCap Metadata Casting and Castellated Data Handling
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Version: 24.11.3
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Version: 24.11.4
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Authors@R: c(
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person("Andreas Gammelgaard", "Damsbo", email = "agdamsbo@clin.au.dk",
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role = c("aut", "cre"),comment = c(ORCID = "0000-0002-7559-1154")),
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@ -68,7 +68,6 @@ Collate:
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'REDCap_split.r'
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'as_factor.R'
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'doc2dd.R'
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'ds2dd.R'
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'ds2dd_detailed.R'
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'easy_redcap.R'
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'export_redcap_instrument.R'
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@ -18,6 +18,7 @@ export(cast_data_overview)
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export(cast_meta_overview)
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export(char2choice)
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export(char2cond)
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export(clean_field_label)
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export(clean_redcap_name)
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export(compact_vec)
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export(create_html_table)
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@ -48,7 +49,9 @@ export(possibly_roman)
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export(process_user_input)
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export(read_input)
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export(read_redcap_instrument)
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export(read_redcap_labelled)
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export(read_redcap_tables)
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export(redcap_meta_default)
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export(redcap_wider)
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export(sanitize_split)
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export(set_attr)
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89
R/ds2dd.R
89
R/ds2dd.R
@ -1,89 +0,0 @@
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utils::globalVariables(c("metadata_names"))
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#' (DEPRECATED) Data set to data dictionary function
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#'
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#' @description
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#' Creates a very basic data dictionary skeleton. Please see `ds2dd_detailed()`
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#' for a more advanced function.
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#'
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#' @details
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#' Migrated from stRoke ds2dd(). Fits better with the functionality of
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#' 'REDCapCAST'.
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#' @param ds data set
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#' @param record.id name or column number of id variable, moved to first row of
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#' data dictionary, character of integer. Default is "record_id".
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#' @param form.name vector of form names, character string, length 1 or length
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#' equal to number of variables. Default is "basis".
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#' @param field.type vector of field types, character string, length 1 or length
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#' equal to number of variables. Default is "text.
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#' @param field.label vector of form names, character string, length 1 or length
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#' equal to number of variables. Default is NULL and is then identical to field
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#' names.
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#' @param include.column.names Flag to give detailed output including new
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#' column names for original data set for upload.
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#' @param metadata Metadata column names. Default is the included
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#' REDCapCAST::metadata_names.
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#'
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#' @return data.frame or list of data.frame and vector
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#' @export
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#'
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#' @examples
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#' redcapcast_data$record_id <- seq_len(nrow(redcapcast_data))
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#' ds2dd(redcapcast_data, include.column.names=TRUE)
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ds2dd <-
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function(ds,
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record.id = "record_id",
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form.name = "basis",
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field.type = "text",
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field.label = NULL,
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include.column.names = FALSE,
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metadata = metadata_names) {
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dd <- data.frame(matrix(ncol = length(metadata), nrow = ncol(ds)))
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colnames(dd) <- metadata
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if (is.character(record.id) && !record.id %in% colnames(ds)) {
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stop("Provided record.id is not a variable name in provided data set.")
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}
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# renaming to lower case and substitute spaces with underscore
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field.name <- gsub(" ", "_", tolower(colnames(ds)))
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# handles both character and integer
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colsel <-
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colnames(ds) == colnames(ds[record.id])
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if (summary(colsel)[3] != 1) {
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stop("Provided record.id has to be or refer to a uniquely named column.")
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}
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dd[, "field_name"] <-
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c(field.name[colsel], field.name[!colsel])
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if (length(form.name) > 1 && length(form.name) != ncol(ds)) {
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stop(
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"Provided form.name should be of length 1 (value is reused) or equal
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length as number of variables in data set."
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)
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}
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dd[, "form_name"] <- form.name
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if (length(field.type) > 1 && length(field.type) != ncol(ds)) {
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stop(
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"Provided field.type should be of length 1 (value is reused) or equal
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length as number of variables in data set."
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)
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}
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dd[, "field_type"] <- field.type
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if (is.null(field.label)) {
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dd[, "field_label"] <- dd[, "field_name"]
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} else
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dd[, "field_label"] <- field.label
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if (include.column.names){
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list("DataDictionary"=dd,"Column names"=field.name)
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} else dd
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}
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@ -1,10 +0,0 @@
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name: redcapcast-latest
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title:
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username: agdamsbo
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account: agdamsbo
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server: shinyapps.io
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hostUrl: https://api.shinyapps.io/v1
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appId: 13442058
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bundleId: 9412341
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url: https://agdamsbo.shinyapps.io/redcapcast-latest/
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version: 1
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@ -1,180 +0,0 @@
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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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library(REDCapCAST)
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ui <-
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bslib::page(
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theme = bslib::bs_theme(preset = "united"),
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title = "REDCap database creator",
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REDCapCAST::nav_bar_page()
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)
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