Validate MockData configuration details against schema requirements including proportion sums and parameter completeness

Validates a mock_data_config_details data frame against schema requirements. Checks for required columns, valid proportions, proportion sums, parameter requirements, and optionally validates links to config file.

Usage

validate_mock_data_config_details(details, config = NULL)

Arguments

details

Data frame. Details data read from mock_data_config_details.csv.

config

Data frame (optional). Configuration for cross-validation.

Value

Invisible NULL. Stops with error message if validation fails.

Details

Validation checks:

Required columns:

• uid, uid_detail, variable, recEnd

Uniqueness:

• uid_detail values must be unique

Proportion validation:

• Values must be in range [0, 1]

• Population proportions (valid + missing codes) must sum to 1.0 ±0.001 per variable

• Contamination proportions (corrupt_*) are excluded from sum

• Auto-normalizes with warning if sum ≠ 1.0

Parameter validation:

• Distribution-specific requirements:

  • normal → mean + sd

  • gompertz → rate + shape

  • exponential → rate

  • poisson → rate

Link validation (if config provided):

• All uid values must exist in config$uid

Flexible recEnd validation:

• Warns but doesn't error on unknown recEnd values

Examples

if (FALSE) { # \dontrun{
# Validate details
details <- read.csv("mock_data_config_details.csv", stringsAsFactors = FALSE)
validate_mock_data_config_details(details)

# Validate with cross-check against config
config <- read.csv("mock_data_config.csv", stringsAsFactors = FALSE)
validate_mock_data_config_details(details, config = config)
} # }