Sanity check Data
The errors that don't crash R — they just ruin the meta-analysis
R runs, the forest comes out, and the result is wrong because an SE column went in as SD.
You give
The extraction spreadsheet (.xlsx or .csv), in your own column layout.
You get
A blocking report (.md) and your spreadsheet back with flags/severity columns and Report/Mapping sheets added.
How it works
# Sanity check $ scopetools run sanity Deterministic — no model. It maps your columns, runs per-row checks (impossible values, missing arm data, precision) and pool checks (unit and scale consistency across studies, duplicates, outliers) and grades each finding as blocking or warning.
Deterministic; it maps your columns (free layout), checks per row and per pool, grades blocking vs warning — and returns your own spreadsheet with flags/severity columns and Report/Mapping sheets added. No redoing your data in someone else's format.
What it costs
3 credits per spreadsheet (US$0.15), whatever the number of rows.
Charged only when it delivers — a failed run costs nothing.
Credits are shared across every MetaScope tool — buy once, spend anywhere.
Limits
Run it before the forest plot, not after: a blocked row means do not pool yet.
Frequently asked questions
- Do I need a specific template?
- No; it maps your own column names (n_e/mean_e/sd_e and variants).
- What is “blocking” vs “warning”?
- Blocking means do not pool that row yet.
- When should I run it?
- Before the forest plot, not after.
Rows clean? Run the forest plot in PlotScope — no R required.
