Process a data file using metadata and codes dictionary

process_data_file() reads a data file, applies the provided metadata and codes dictionary, and organizes the data into a tidy format. The column names are determined based on the metadata scenario (e.g., "single", "single_multiple", "single_multiple_single").

Usage

process_data_file(file, metadata, dict = NULL)

Arguments

file: (String) The path to the data file
metadata: A list containing the scenario and variable information obtained from the metadata file using process_metadata_file.
dict: (Optional) A data frame containing codes dictionary information

Value

A tibble containing the processed data in a tidy format

Details

process_data_file() processes the data file according to the metadata scenario. It handles cases where variables have multiple occurrences and organizes the data into a tidy format with appropriate column names. The function relies on the read_data_file function for the actual data reading.

Examples

if (FALSE) { # \dontrun{

  path <- tempfile("fcadata")

  download_data(
    year = 2022,
    month = "March",
    dest = path
  )

  process_data_file(
    file = file.path(path, "RCB_Q202203_G20220808.TXT"),
    metadata = process_metadata_file(file.path(path, "D_RCB.TXT")),
    dict = RCB__INV_CODE
  )

} # }