This list defines the expected settings for different data domains. Each domain contains specific columns and values that are required for data processing.
Format
A list with the following structure:
- labs
A list containing the expected settings for laboratory data:
- id_col
Column name for the subject identifier (e.g., "USUBJID").
- measure_col
Column name for the measure parameter (e.g., "PARAM").
- measure_values
A list of measure values and their corresponding descriptions (e.g., list("CREAT" = "Creatinine")).
- value_col
Column name for the measurement value (e.g., "STRESN").
- unit_col
Column name for the measurement unit (e.g., "STRESU").
- studyday_col
Column name for the study day (e.g., "DY").
- visit_col
Column name for the visit description (e.g., "VISIT").
- visitn_col
Column name for the visit number (e.g., "VISITN").
- baseline_flag
Column name for the baseline flag (e.g., "BLFL").
- baseline_values
Value indicating baseline (e.g., "Y").
- normal_col_high
Column name for the upper limit of normal range (e.g., "STNRHI").
- dm
A list containing the expected settings for demographic data:
- id_col
Column name for the subject identifier (e.g., "USUBJID").
- vitals
A list containing the expected settings for vital signs data:
- id_col
Column name for the subject identifier (e.g., "USUBJID").
- measure_col
Column name for the measure parameter (e.g., "PARAM").