For the latest version of JMP Help, visit JMP.com/help.

Model Reports
Use the options in the Models submenu in the Functional Data Explorer red triangle menu to fit models to your data. See Models for the available models. Each time you fit a different type of model to the data, a model report appears. Each model report contains the following reports:
Model Controls
After you specify the model controls, click Go to view the updated models in the Model Selection report.
Model Selection
The Model Selection report contains an overall prediction plot, a grid of individual prediction plots for each level of the ID variable, a solution path plot, and a table of fit statistics. The solution path plot shows a model selection criterion plotted over values of a model parameter. The Bayesian Information Criterion (BIC) is the default fitting criterion. See Model Report Options. For B-Spline and P-Spline models, there is a separate curve in the solution path for each spline degree plotted across the defined number of knots. For Fourier Basis models, the solution path is plotted across the number of Fourier pairs for a defined period. Use the Model Controls to change the solution path plot parameters.
The Fit Statistics table contains a description of the current solution model. It also displays the -2 Log Likelihood, the values for the AICc, BIC, and GCV model fitting criterion, and a value for the response standard deviation, denoted as <Y, Output> Std Dev. The response standard deviation is defined as the residual sigma from the fitted model. When a P-Spline model is selected, the penalty parameter λ (Lambda) is also displayed.
Diagnostic Plots
Function Summaries
Basis Function Coefficients
Random Coefficients by Function
Functional PCA

Help created on 3/19/2020