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r4subdata provides realistic example datasets for the R4SUB clinical submission readiness ecosystem.
Designed for demos, vignettes, and package testing – like
nycflights13 or palmerpenguins.
install.packages("r4subdata")# install.packages("pak")
pak::pak("R4SUB/r4subdata")| 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 |
library(r4subdata)
# Browse datasets
list_datasets()
# Load and explore
data(evidence_pharma)
table(evidence_pharma$indicator_domain)
# Column dictionary
dataset_dictionary("evidence_pharma")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)MIT
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.