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

Arguments

meta_data	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.

Value

data.frame an updated metadata data frame.

Examples

## Not run: 
load(system.file("extdata", "meta_data.RData", package = "dataquieR"))
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
load(system.file("extdata", "meta_data.RData", package = "dataquieR"))
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 May 29, 2024, 7:18 a.m.