Bar charts with error bars
This collection of screenshots provides a sampling of capabilities and features from each of the products in the JMP family.
The Nonlinear platform can fit curved data without the need to pre-impute a formula or starting values. Simply select from one of the models in a rich library, which includes popular bioassay or pharmacokinetic models, and data is fit automatically.
Fit Curve (Nonlinear platform)
Send data to MATLAB, execute code and return data to JMP for visualization and analysis. The interface lets JMP seamlessly integrate with MATLAB to extend JMP further for even greater analytic power and flexibility.
Interface to MATLAB
The advanced neural network capabilities in JMP Pro include the choice of three activation functions and two layers, a choice of validation methods, as well as gradient boosting.
Advanced neural modeling
Advanced features for partial least squares (PLS) regression in the Fit Model platform. Model effects can include categorical factors, as well as crossed and polynomial terms.
Advanced partial least squares (PLS)
A Hierarchical Cluster report with two-way clustering identifies relationships between individual subjects and the events, findings and interventions included in the safety analyses for the study.
The industry-standard Hy’s Law display in JMP Clinical is interactive for selection of subjects. A dashboard containing a scatterplot matrix of transaminases and bilirubin; mosaic plot of days until bilirubin elevation and missing lab tests report tab.
Hy's Law Dashboard