r4subdata provides realistic example datasets for the R4SUB clinical submission readiness ecosystem.
Designed for demos, vignettes, and package testing -- like nycflights13 or palmerpenguins.
Installation
CRAN
install.packages("r4subdata")Development install
# install.packages("pak") pak::pak("R4SUB/r4subdata")
Datasets
| Dataset | Rows | Description |
|---|---|---|
evidence_pharma |
250 | Full evidence table for study CDISCPILOT01 across 4 domains |
adam_metadata |
36 | ADaM variable metadata for ADSL, ADAE, ADLB |
sdtm_metadata |
43 | SDTM variable metadata for DM, AE, LB |
trace_mapping |
25 | ADaM-to-SDTM traceability mapping with confidence scores |
risk_register_pharma |
18 | FMEA risk register with P/I/D scores and mitigations |
regulatory_indicators |
30 | Indicator definitions across quality, trace, risk, usability |
Quick Start
library(r4subdata) # Browse datasets list_datasets() # Load and explore data(evidence_pharma) table(evidence_pharma$indicator_domain) # Column dictionary dataset_dictionary("evidence_pharma")
Usage with R4SUB Packages
library(r4subcore) library(r4subscore) library(r4subdata) # Score the pharma evidence scores <- compute_indicator_scores(evidence_pharma) pillars <- compute_pillar_scores(evidence_pharma) sci <- compute_sci(pillars) # Trace with metadata library(r4subtrace) model <- build_trace_model(adam_metadata, sdtm_metadata, trace_mapping) # Risk analysis library(r4subrisk) rr <- create_risk_register(risk_register_pharma)
License
MIT