prep_expand_codes: Expand code labels across variables

In dataquieR: Data Quality in Epidemiological Research

Expand code labels across variables

Description

Code labels are copied from other variables, if the code is the same and the label is set only for some variables

Usage

prep_expand_codes(
  item_level = "item_level",
  suppressWarnings = FALSE,
  mix_jumps_and_missings = FALSE,
  meta_data_v2,
  meta_data = item_level
)

Arguments

item_level	data.frame the data frame that contains metadata attributes of study data
suppressWarnings	logical show warnings, if labels are expanded
mix_jumps_and_missings	logical ignore the class of the codes for label expansion, i.e., use missing code labels as jump code labels, if the values are the same.
meta_data_v2	character path to workbook like metadata file, see prep_load_workbook_like_file for details. ALL LOADED DATAFRAMES WILL BE PURGED, using prep_purge_data_frame_cache, if you specify meta_data_v2.
meta_data	data.frame old name for item_level

Value

data.frame an updated metadata data frame.

Examples

## Not run: 
meta_data <- prep_get_data_frame("meta_data")
meta_data$JUMP_LIST[meta_data$VAR_NAMES == "v00003"] <- "99980 = NOOP"
md <- prep_expand_codes(meta_data)
md$JUMP_LIST
md$MISSING_LIST
md <- prep_expand_codes(meta_data, mix_jumps_and_missings = TRUE)
md$JUMP_LIST
md$MISSING_LIST
meta_data <- prep_get_data_frame("meta_data")
meta_data$MISSING_LIST[meta_data$VAR_NAMES == "v00003"] <- "99980 = NOOP"
md <- prep_expand_codes(meta_data)
md$JUMP_LIST
md$MISSING_LIST

## End(Not run)

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.