NBDCtools (version 1.0.2)

convert_names_data: Convert column names in a data frame

Description

This function renames columns in a data frame to another type of column name specified in the data dictionary.

For example, this can be used to convert the ABCD column names introduced in the 6.0 release to the previously used column names. If you instead want to convert the column names in a file, use convert_names_file().

Note: Please use this function with caution and make sure that the data in the converted column is equivalent to the data in the original column. Also, please make sure that the names can be mapped one-to-one. Some variables in the ABCD data dictionary have been collapsed from previous releases and thus might have multiple names in the name_to column that map to a single name (see skip_sep_check argument below).

Usage

convert_names_data(
  data,
  dd,
  name_from = "name",
  name_to,
  ignore_cols = union(get_id_cols_abcd(), get_id_cols_hbcd()),
  skip_sep_check = FALSE
)

Value

tibble. The data with renamed column names.

Arguments

data

tibble. The input data frame with columns to be renamed.

dd

tibble. The data dictionary table. One can use get_dd() family of functions to get the data dictionary for a given study and release or provide a custom data dictionary.

name_from

character. The column name type in the data dictionary that the columns in data currently use (Default: "name"). This column must exist in the data dictionary.

name_to

character. The column name type in the data dictionary that the columns in data should be renamed to. This column must exist in the data dictionary.

ignore_cols

character vector. The columns to ignore (Default: identifier columns used in ABCD and HBCD).

skip_sep_check

logical. Whether to skip the check for name_to column's separators validation. In our official data dictionaries, some columns have multiple names separated by a "|" in the same cell.

For columns with multiple names, it the recommended to use functions like tidyr::separate_rows() to split the names into multiple rows and decide which name to use for the renaming by filtering the rows, so that the name_from and name_to columns are one-to-one mapping.

If skip_sep_check = FALSE (default), the function will check if the name_from or name_to columns have the "|" separator and will throw an error if the separator is found. If skip_sep_check = TRUE, it means you understand that character strings with "|" inside will be used for rename mapping, and the function will not check for the separator.

Examples

if (FALSE) {
# rename columns to previous ABCD names used by NDA
convert_names_data(
  data,
  dd = get_dd("abcd"),
  name_from = "name",
  name_to = "name_nda"
)

# rename columns to Stata names
convert_names_data(
  data,
  dd = get_dd("abcd"),
  name_from = "name",
  name_to = "name_stata"
)
}