Read and validate MockData configuration details file containing distribution parameters and category proportions
Source:R/read_mock_data_config_details.R
read_mock_data_config_details.RdReads a mock_data_config_details.csv file containing distribution parameters and proportions for mock data generation. Optionally validates the details against schema requirements and optionally against a config file.
Details
The details file should have the following columns:
Link columns:
uid: Links to mock_data_config.csv via uid (variable-level)
uid_detail: Unique identifier for this detail row (d_001, d_002, ...)
variable: Variable name (denormalized for readability)
Category/parameter columns:
dummyVariable: Recodeflow dummy variable identifier
recEnd: Category value or parameter name
catLabel: Short category label
catLabelLong: Long category label
units: Measurement units for this parameter
Distribution parameters:
proportion: Proportion for this category (0-1)
value: Numeric value
range_min, range_max: Value ranges
date_start, date_end: Date ranges
notes: Implementation notes
The function performs the following processing:
Reads CSV file with read.csv()
Converts numeric columns (proportion, value, ranges)
Converts date columns to Date type
Validates if validate = TRUE
Examples
if (FALSE) { # \dontrun{
# Read details file
details <- read_mock_data_config_details(
"inst/extdata/mock_data_config_details.csv"
)
# Read with cross-validation against config
config <- read_mock_data_config("inst/extdata/mock_data_config.csv")
details <- read_mock_data_config_details(
"inst/extdata/mock_data_config_details.csv",
config = config
)
# View structure
str(details)
head(details)
} # }