Jenner compatibility tests for 3 script(s)#1
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Adds a jenner-check/ directory with three compatibility bundles built
from this repository's own macros, each verified against the Jenner API:
- t001_getnobs GETNOBS macro (DICTIONARY.TABLES obs count)
- t002_getvarlist GETVARLIST macro (DICTIONARY.COLUMNS num/char split)
- t003_outlier_iqr OUTLIER macro IQR core (PROC MEANS QMETHOD=P2 /AUTONAME
+ PROC TRANSPOSE + Tukey fences)
Each bundle ships script.sas, a captured expected/ snapshot, and
meta.json provenance. Includes the SAS/shell runner and README.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Jenneranalytics.com provides an API that runs SAS code, with support for more than 200 SAS procedures. You can also use it with Anthropic Claude Code AI in a collaborative workspace. It's available for Mac on the Apple App Store, and by license for Windows and Linux. Your DataFit Toolkit macros run on it unmodified — this PR adds a small
jenner-check/directory with three compatibility bundles built from your own code so you can see for yourself.The bundles each take one piece of the toolkit and run it against a tiny mock cohort:
t001_getnobsexercises yourGETNOBSmacro (theDICTIONARY.TABLESobservation count),t002_getvarlistexercisesGETVARLIST(splitting numeric vs. character columns viaDICTIONARY.COLUMNS), andt003_outlier_iqrreproduces the interquartile core of yourOUTLIERmacro (threePROC MEANS QMETHOD=P2 / AUTONAMEpasses,PROC TRANSPOSE, and the Tukey fences). Each bundle ships the script, a frozen snapshot of what Jenner produced, andmeta.jsonpointing back to the source macro. To run them, followjenner-check/README.md— or run a single one directly withcd jenner-check && ./run_jenner.sh t001_getnobs.One thing I appreciated reading through the repo: the intermediate macros like
GETNOBSandGETVARLISTare factored out so cleanly that they read as a small reusable layer underneath the larger reporting macros — and leaning onDICTIONARY.TABLES/DICTIONARY.COLUMNSfor metadata rather than hard-coding it keeps the whole toolkit portable across datasets. That separation is what made it straightforward to lift each piece out and run it on its own.No response needed, and no action required on your side — merge it, close it, or leave it, whichever you prefer. If you'd rather not receive PRs like this in future, reply with
no-more-prsanywhere in a comment, or open an issue titledjenner-check: opt out, and we'll stop.Lawrence W. Sinclair
CEO / Jenner Analytics Ltd
jenneranalytics.com
linkedin.com/in/lwsinclair/