Pilar Gomez Jimenez, Principal Scientist, Johnson Matthey

Ben Francis, JMP Systems Engineer, SAS

Since the release of JMP Pro 14, Functional Data Explorer (FDE) has enabled new questions to be asked from existing data that didn’t have an appropriate statistical analysis methodology. Also, functional data can now be sought and constructed in order to solve these new questions. Within Johnson Matthey, FDE is being used in a variety of areas to generate powerful new understanding.

With great power (of FDE) comes great responsibility – to ensure that the functional models being fit align with the observed data. As such, we introduce the new JMP Add-in for FDE Actual vs. Predicted plots along with further model diagnostics such as functional error correlations. These tools encourage the necessary considerations and diagnostics when using FDE-constructed models. This leads to peace of mind in the Johnson Matthey application, enabling validated and robust functional models to be deployed to the user base of scientists and engineers.

Explore on JMP Public: https://public.jmp.com/packages/2llssr3Kf9DgWsX050vrt

Download and try the Add-In here: https://community.jmp.com/t5/JMP-Add-Ins/Function-Data-Explorer-Actual-vs-Predicted-Diagnostics-Add-In/ta-p/364808