Predictive and Specialized Modeling > Functional Data Explorer > Functional Data Explorer Platform Options
Publication date: 05/24/2021

Image shown hereFunctional Data Explorer Platform Options

The Functional Data Explorer red triangle menu contains the following options:

Summaries

A submenu of the following options for functional summary statistics:

Plot Mean

Shows or hides a plot of the functional mean in the Summaries report. On by default.

Plot Standard Deviation

Shows or hides a plot of the functional standard deviation in the Summaries report. On by default.

Plot Median

Shows or hides a plot of the functional median in the Summaries report.

Models

A submenu of the following model options:

B-Splines

Fits a basis spline (B-Spline) model to the data. Use the B-Spline model for non-periodic data.

P-Splines

Fits a penalized basis spline (P-Spline) model to the data.

Fourier Basis

Fits a Fourier Basis model to the data. Use the Fourier Basis model for periodic data. A periodic model assumes that the function finishes where it starts. See Fourier Basis Model.

Note: If there are fewer than three unique input values, neither a Fourier basis model or a P-Spline model can be fit to the data, and a warning message appears.

Model Controls

Shows a submenu that enables you to open the Model Controls panel prior to fitting a model. See Model Controls.

Direct Functional PCA

(Not available if there is only a single function.) Performs functional principal components analysis directly on the data, without fitting a basis function model first. This reduces computation time, particularly for large data sets. The implementation of Direct Functional PCA is as follows:

1. Align the input data to be between 0 and 1 and interpolate the observations to a common grid of input values.

2. Perform functional principal components analysis on the data.

3. Smooth the first eigenfunction using a P-Spline model with a knot at each grid point.

4. Remove the first smoothed eigenfunction from the data and repeat step 2 to step 4 until a large amount of the variation in the data is explained.

Once you perform a Direct Functional PCA, a Functional PCA report is shown. See Functional PCA.

Save Data

Saves the processed data to a new data table. The processed data are saved in the stacked data format.

See Local Data Filters in Reports, Redo Menus in Reports, and Save Script Menus in Reports in Using JMP for more information about the following options:

Local Data Filter

Shows or hides the local data filter that enables you to filter the data used in a specific report.

Redo

Contains options that enable you to repeat or relaunch the analysis. In platforms that support the feature, the Automatic Recalc option immediately reflects the changes that you make to the data table in the corresponding report window.

Save Script

Contains options that enable you to save a script that reproduces the report to several destinations.

Save By-Group Script

Contains options that enable you to save a script that reproduces the platform report for all levels of a By variable to several destinations. Available only when a By variable is specified in the launch window.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).