util_study_var2factor: Convert a study variable to a factor

In dataquieR: Data Quality in Epidemiological Research

Convert a study variable to a factor

Description

Convert a study variable to a factor

Usage

util_study_var2factor(
  resp_vars = NULL,
  study_data,
  meta_data = "item_level",
  label_col = LABEL,
  assume_consistent_codes = TRUE,
  have_cause_label_df = FALSE,
  code_name = c(JUMP_LIST, MISSING_LIST),
  include_sysmiss = TRUE
)

Arguments

resp_vars	variable list the name of the measurement variables
study_data	data.frame the data frame that contains the measurements
meta_data	data.frame the data frame that contains metadata attributes of study data
label_col	variable attribute the name of the column in the metadata with labels of variables
assume_consistent_codes	logical assume, that missing codes are consistent for all variables
have_cause_label_df	logical is a missing-code table available
code_name	character all lists from the meta_data to use for the coding.
include_sysmiss	logical add also a factor level for data values that were NA in the original study data (system missingness).

Value

study_data converted to factors using the coding provided in code_name

dataquieR documentation built on July 26, 2023, 6:10 p.m.