Copyright information | Installation | Quick start | Usage | Example usage | Load the dbGaPCheckup R package | Read in your Subject Phenotype data into DS.data. | Read in your Subject Phenotype data dictionary into DD.dict. | Run the function check_report. | If needed, run the function add_missing_fields and repeat check_report | Reporting | Labelled data | Contact information | Acknowledgments

Copyright information | Overview | Installation | Data format, file types, and file names | Files | Subject Phenotype Data Set (DS) | Subject Phenotype Data Dictionary (DD) | Execution with example runs and interpretation | Check, utility, and awareness functions | Example 1 | Example 2 | Example 3 | Example 4 | Example 5 | Example 6 | Reporting functions | Label data function | Appendix: Reporting functions | Appendix A: Awareness Report | Missingness Summary | Values Missing Tables | Check A: If the user defines a missing value code that is not present in the data (In Set M and Not in Set D). | Check B: If a VALUES entry defines an encoded code value, but that value is not present in the data (In Set V and Not in Set D). | Check C: If the user defines a missing value code that is not defined in a VALUES entry (In Set M and Not in Set V). | Check D: If a user-defined missing value code is present in the data for a given variable, but that variable does not have a corresponding VALUES entry (M in Set D and Not in Set V). | Check E: If a VALUES entry is NOT defined as a missing value code AND is NOT identified in the data. ((Set V values that are NOT in Set M) that are NOT in Set D). | Appendix B: Data Report | Summary and plots | Contact information | Acknowledgments