util_dichotomize function

Utility function to dichotomize variables

This function uses the metadata attributes RECODE_CASES and/or RECODE_CONTROL to dichotomize the data. 'Cases' will be recoded to 1, 'controls' to 0. The recoding can be specified by an interval (for metric variables) or by a list of categories separated by the 'SPLIT_CHAR'. Recoding will be used for data quality checks that include a regression model.

util_dichotomize(study_data, meta_data, label_col = VAR_NAMES)

Arguments

• study_data: study data without 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

See Also

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