☐ cool new feature
☑ could help many users!
☐ removes something that feels like a „bug“
☐ nice to have
☐ nobody needs it
What inspired this wish list request?
Working with grouped data often requires quick regressions on subsets (e.g., per wafer, batch, device). JMP offers many Fit platforms, but creating simple linear‑fit parameters (slope/intercept) directly inside the data table is not possible without scripting or repeatedly running Fit Y by X. Other column operations (Col Rank, Standardize, etc.) already support fast table‑level workflows — regression does not.
Retrieving the data from the fit platforms is possible - this separates JMP experts from the beginners!
What is the improvement you would like to see?
Introduce two new column operations:
Col Linear Regression Slope()
Col Linear Regression Intercept()
Users select X, Y, and an optional Group‑By column.
JMP computes a linear regression within each group and creates a new column containing the group‑level slope or intercept. Each row in the same group receives the same result value.
This works entirely inside the data table UI, with no Fit platform required.
Why is this idea important?
Many workflows rely on extracting simple linear‑fit parameters for large numbers of groups. Doing this manually across platforms is error‑prone and difficult to automate without scripting.
A native column operation—just like existing Col ...() functions—would:
- dramatically streamline grouped regression workflows
- avoid repetitive model setup
- ensure consistent, table‑centric processing
- reduce errors and improve reproducibility
- empower non‑scripting users to perform grouped regressions efficiently
more wishes submitted by hogi