util_dichotomize: utility function to dichotomize variables
In dataquieR: Data Quality in Epidemiological Research

util_dichotomize

R Documentation

utility function to dichotomize variables

Description

use the metadata attribute RECODE (="recode") to dichotomize the data

Usage

util_dichotomize(study_data, meta_data, label_col = VAR_NAMES)

Arguments

`study_data`	study data including jump/missing codes as specified in the code conventions
`meta_data`	metadata as specified in the code conventions
`label_col`	variable attribute the name of the column in the metadata with labels of variables

Other data_management: util_assign_levlabs(), util_check_data_type(), util_check_group_levels(), util_compare_meta_with_study(), util_merge_data_frame_list(), util_rbind(), util_remove_na_records(), util_replace_hard_limit_violations(), util_study_var2factor(), util_table_of_vct()