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ggplot2-20-journal-cases
A collection of 20 ggplot2 figure recipes that mirror common visualizations from top-journal papers, using simulated data so the entire repository runs without any downloaded files.
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FR-AI / ANALYSISWhy it is worth attention
It provides a complete, reproducible pipeline for ADaM dataset creation in R, with direct SAS output QC, bridging a gap for clinical programming teams transitioning from SAS.
Who it is for
- Clinical programmers in R
- Biostatisticians
- Clinical data managers
- Pharma R&D teams
Use cases
- Creating ADSL and other ADaM datasets for clinical trials
- Validating R outputs against SAS for regulatory compliance
- Learning modular ADaM programming with Admiral
Strengths
- Covers 9 ADaM domains including ADSL, ADAE, ADLB
- Modular programming with reusable functions
- Includes SAS output QC for validation
- Uses the popular Admiral package
Considerations
- Assumes familiarity with CDISC ADaM standards
- May require SAS for full QC workflow
- Limited to the specific domains listed
README quick start
ADaM-R-Programming
End-to-end CDISC ADaM dataset development in R using the Admiral package. Includes ADSL, ADAE, ADCM, ADDV, ADEX, ADLB, ADMH, ADPR, and ADVS with modular programming, reusable functions, and SAS output QC.
Description
End-to-end CDISC ADaM dataset development in R using the Admiral package. Includes ADSL, ADAE, ADCM, ADDV, ADEX, ADLB, ADMH, ADPR, and ADVS with modular programming, reusable functions, and SAS output QC.
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