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Internal Helper Functions for Validation of GeneralData Objects

Source: R/Data-validity.R
v_data_objects.Rd

[Stable]

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)

Arguments

object

(GeneralData)
object to validate.

dose

(numeric)
dose values.

cohort

(integer)
cohort indices parallel to doses.

Value

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

TRUE if dose is unique per cohort, otherwise FALSE.

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.