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Validate MockData configuration against schema requirements including required columns and unique identifiers

Source: R/read_mock_data_config.R
validate_mock_data_config.Rd

Validates a mock_data_config data frame against schema requirements. Checks for required columns, unique variable names, valid role values, and valid variableType values.

Usage

validate_mock_data_config(config)

Arguments

config

Data frame. Configuration data read from mock_data_config.csv.

Value

Invisible NULL. Stops with error message if validation fails.

Details

Validation checks:

Required columns:

  • uid, variable, role, variableType, position

Uniqueness:

  • uid values must be unique

  • variable names must be unique

Valid values:

  • role: Can contain enabled, predictor, outcome, confounder, exposure, table1, metadata, intermediate (comma-separated)

  • variableType: categorical, continuous, date, survival, character, integer

Safe NA handling:

  • Uses which() to handle NA values in logical comparisons

  • Prevents "missing value where TRUE/FALSE needed" errors

Examples

if (FALSE) { # \dontrun{
# Validate configuration
config <- read.csv("mock_data_config.csv", stringsAsFactors = FALSE)
validate_mock_data_config(config)
} # }