A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows
Check all data frames include the correct types of columns
Column Validation Function
Check Words in Column
Optional checks to consistency of metadata
Create table
Define XML to DataDef Object
Get Control Term
Get Dataset Keys
Is DatasetMeta object
Is metacore object
load metacore object
Get path to metacore example
Select method to subset by a single dataframe
R6 Class wrapper to create your own metacore object
Pipe operator
Read in all Sheets
save metacore object
Select metacore object to single dataset
Specification document to metacore object
Spec to codelist
Spec to derivation
Spec to ds_spec
Spec to ds_vars
Spec to value_spec
Spec to var_spec
Check the type of spec document
Verify that the Class Type of an object is DatasetMeta with warnings
XML to code list
XML to derivation table
XML to Data Set Spec
XML to Data Set Var table
XML to value spec
XML to variable spec
Create an immutable container holding metadata for the purpose of better enabling programming activities and functionality of other packages within the clinical programming workflow.
Useful links