Don’t miss your chance to experience Discovery Summit Europe at our best available rate! Early bird registration through 31 Oct.
Graph Builder Toolbar streamlines interactive graphing. Creates shortcuts on Report and GraphBuilder Helpers toolbars. Download and install the extension.
JMP will suspend normal business operations for our Rest and Recharge Day on Friday, October 2, 2026.
Regular business hours will resume on Monday, October 5, 2026.
When generating features of a signal over time, some statistics—such as mean, median, and SD—can be easily calculated using New Formula Columns, grouped by a time bin column. However, important signal features such as kurtosis, skewness, and variance are missing from the available list.
The new scoping framework provides on-the-fly grouped statistics for GraphBuilder - based on the power of Col ...() aggregations.
Even better: For Grouped Statistics, JMP19 has a another great improvement: JMP19 comes with a Fast Way to calculate "nested" Col ... aggregations - like MAD . So, if you know the function behind the aggregation, you can set it up manually by combining existing Col... ( ) aggregations. And even if nesting is required - like it is for MAD, Skewness, Kurtosis , it will be orders of magnitude faster than before : )
Amidst all this excitement, I have to agree. This approach is just for experts who are willing to set up the aggregation manually. However, for the standard JMP user who wants to calculate Col Skewness() — just as they would with Col Mean() — it doesn't help. There's still a lot to do to synchronize the different statistics platforms in JMP!