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#' Identify and extract Data and Code statements in TXT files.
#'
#' Takes a TXT file and returns data related to the presence of Data and/or Code
#' statements, including whether Data and/or Code statements exist. If such
#' statements exist, it extracts them.
#'
#' @param filename The name of the TXT file as a string.
#' @return A dataframe of results. It returns whether text suggesting the
#' presence of data or code was found, and if so, what this text was.
#' @examples
#' \donttest{
#' # Write a short example article to a temporary text file.
#' filepath <- file.path(tempdir(), "PMID00000000-PMC0000000.txt")
#' writeLines(c(
#' "To our knowledge, this is the first study of its kind.",
#' "Conflicts of interest: none declared.",
#' "This work was supported by the National Institutes of Health (R01-000000).",
#' "The protocol was registered at ClinicalTrials.gov (NCT00000000).",
#' "All data and code are available at https://github.com/example/repo.",
#' "We independently replicated the original analysis."
#' ), filepath)
#'
#' # Identify and extract data and code availability.
#' results_table <- rt_data_code(filepath)
#' }
#' @export
rt_data_code <- function(filename) {
article <- .read_txt(filename)
paragraphs <- unlist(strsplit(article, "\n+"))
found <- .detect_data_code(paragraphs)
tibble::tibble(
article = filename,
is_open_data = found$is_open_data,
open_data_statements = found$data_text,
is_open_code = found$is_open_code,
open_code_statements = found$code_text
)
}
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