Read and validate MockData configuration file defining variable specifications for mock data generation

Reads a mock_data_config.csv file containing variable definitions for mock data generation. Optionally validates the configuration against schema requirements.

Usage

read_mock_data_config(config_path, validate = TRUE)

Arguments

config_path: Character. Path to mock_data_config.csv file.
validate: Logical. Whether to validate the configuration (default TRUE).

Value

Data frame with configuration variables and their parameters, sorted by position column.

Details

The configuration file should have the following columns:

Core columns:

uid: Unique identifier (v_001, v_002, ...)
variable: Variable name
role: Comma-separated role values (enabled, predictor, outcome, etc.)
label: Short label for tables
labelLong: Descriptive label
section: Primary grouping for Table 1
subject: Secondary grouping
variableType: Data type (categorical, continuous, date, survival, character, integer)
units: Measurement units
position: Sort order (10, 20, 30...)

Provenance columns:

source_database: Database identifier(s) from import
source_spec: Source specification file
version: Configuration version
last_updated: Date last modified
notes: Documentation
seed: Random seed for reproducibility

The function performs the following processing:

Reads CSV file with read.csv()
Converts date columns to Date type
Sorts by position column
Validates if validate = TRUE

Examples

if (FALSE) { # \dontrun{
# Read configuration file
config <- read_mock_data_config(
  "inst/extdata/mock_data_config.csv"
)

# Read without validation
config <- read_mock_data_config(
  "inst/extdata/mock_data_config.csv",
  validate = FALSE
)

# View structure
str(config)
head(config)
} # }