mirror of
https://github.com/agdamsbo/REDCapCAST.git
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91 lines
2.0 KiB
R
91 lines
2.0 KiB
R
utils::globalVariables(c("server"))
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#' Shiny server factory
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#'
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#' @return shiny server
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#' @export
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server_factory <- function() {
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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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}
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#' Launch the included Shiny-app for database casting and upload
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#'
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#' @return shiny app
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#' @export
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#'
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#' @examples
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#' # shiny_cast()
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#'
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shiny_cast <- function() {
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# shiny::runApp(appDir = here::here("app/"), launch.browser = TRUE)
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shiny::shinyApp(
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ui_factory(),
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server_factory()
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)
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}
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#' Helper to import files correctly
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#'
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#' @param filenames file names
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#'
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#' @return character vector
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#' @export
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#'
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#' @examples
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#' file_extension(list.files(here::here(""))[[2]])[[1]]
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#' file_extension(c("file.cd..ks","file"))
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file_extension <- function(filenames) {
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sub(pattern = "^(.*\\.|[^.]+)(?=[^.]*)", replacement = "",
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filenames,
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perl = TRUE)
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}
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#' Flexible file import based on extension
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#'
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#' @param file file name
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#' @param consider.na character vector of strings to consider as NAs
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#'
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#' @return tibble
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#' @export
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#'
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#' @examples
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#' read_input("https://raw.githubusercontent.com/agdamsbo/cognitive.index.lookup/main/data/sample.csv")
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read_input <- function(file, consider.na = c("NA", '""', "")) {
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ext <- file_extension(file)
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tryCatch(
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{
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if (ext == "csv") {
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df <- readr::read_csv(file = file, na = consider.na)
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} else if (ext %in% c("xls", "xlsx")) {
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df <- openxlsx2::read_xlsx(file = file, na.strings = consider.na)
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} else if (ext == "dta") {
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df <- haven::read_dta(file = file)
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} else if (ext == "ods") {
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df <- readODS::read_ods(file = file)
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} else {
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stop("Input file format has to be on of:
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'.csv', '.xls', '.xlsx', '.dta' or '.ods'")
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}
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},
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error = function(e) {
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# return a safeError if a parsing error occurs
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stop(shiny::safeError(e))
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}
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)
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df
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}
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