v_data_objects: Internal Helper Functions for Validation of `GeneralData` Objects

Description

These functions are only used internally to validate the format of an input GeneralData or inherited classes and therefore not exported.

Usage

v_general_data(object)
h_doses_unique_per_cohort(dose, cohort)
v_data(object)
v_data_dual(object)
v_data_parts(object)
v_data_mixture(object)
v_data_da(object)
v_data_ordinal(object)
v_data_grouped(object)

Value

A character vector with the validation failure messages, or TRUE in case validation passes.

TRUE if dose is unique per cohort, otherwise FALSE.

Arguments

object: (GeneralData)
object to validate.
dose: (numeric)
dose values.
cohort: (integer)
cohort indices parallel to doses.

Functions

v_general_data(): validates that the GeneralData object contains unique ID, non-negative cohort indices and ID and cohort vectors are of the same length nObs.
h_doses_unique_per_cohort(): helper function which verifies whether the dose values are unique in each and every different cohort.
v_data(): validates that the Data object contains valid elements with respect to their types, dependency and length.
v_data_dual(): validates that the DataDual object contains valid biomarker vector with respect to its type and the length.
v_data_parts(): validates that the DataParts object contains valid elements with respect to their types, dependency and length.
v_data_mixture(): validates that the DataMixture object contains valid elements with respect to their types, dependency and length.
v_data_da(): validates that the DataDA object contains valid elements with respect to their types, dependency and length.
v_data_ordinal(): validates that the DataOrdinal object contains valid elements with respect to their types, dependency and length.
v_data_grouped(): validates that the DataGrouped object contains valid group information.