Publication date: 04/12/2021

The Degradation Data Analysis red triangle menu contains the following options:

Path Definition

The Y variable at a given time is assumed to have a distribution. You can model the mean, location parameter, or median of that distribution.

Mean Path

Specifies that the mean is the parameter to be modeled.

Location Parameter Path

Specifies that the location parameter of the distribution is the parameter to be modeled.

Median Path

Specifies that the median of the distribution is the parameter to be modeled.

When the Location Parameter or Median Path option is selected, a menu appears in the Model Specification that enables you to select the distribution of the response.

Degradation Path Style

Contains options for selecting the style of degradation path to fit.

Simple Linear Path

Enables you to fit linear degradation paths and nonlinear paths that can be transformed to linear paths. See Simple Linear Path.

Nonlinear Path

Enables you to fit nonlinear degradation paths. See Nonlinear Path.

Graph Options

Contains options for modifying the appearance of graphs in the report.

Connect Data Markers

Shows or hides lines connecting the points on the Overlay plot.

Show Fitted Lines

Shows or hides the fitted lines on the Overlay plot.

Show Spec Limits

Shows or hides the specification limits on the Overlay plot.

Show Residual Plot

Shows or hides the residual plot.

Show Inverse Prediction Plot

Shows or hides the inverse prediction plot

Show Curve Interval

Shows or hides the confidence intervals on the fitted lines on the Overlay plot.

Curve Interval Alpha

Enables you to change the alpha used for the confidence interval curves.

Show Median Curves

Shows or hides median lines on the plot when the Path Definition is set to Location Parameter Path.

Show Legend

Shows or hides a legend for the markers used on the Overlay plot.

No Tab List

Shows or hides the Residual Plot, Inverse Prediction, and Prediction Graph in tabs or in stacked reports.

Prediction Settings

Contains options for modifying the settings used in the model predictions.

Upper Spec Limit

Specifies the upper specification limit.

Lower Spec Limit

Specifies the lower specification limit.

Censoring Time

Specifies the censoring time. See Inverse Prediction.

Baseline

Specifies the normal use conditions for an X variable in nonlinear degradation paths. A path with this value usually results in an Overlay plot.

Inverse Prediction

Specifies the interval type, alpha level, and one- or two-sided intervals for inverse prediction. To do inverse prediction, you must also specify the lower or upper specification limit. See Inverse Prediction.

Longitudinal Prediction

Specifies the Time value, interval type, and alpha level for longitudinal prediction. See Prediction Graph.

Applications

Contains options for further analysis of the degradation data.

Generate Pseudo Failure Data

Creates a data table giving the predicted time each unit crosses the specification limit. The table contains a Life Distribution or Fit Life by X script that can be used to fit a distribution to the pseudo failure times.

Test Stability

Performs stability analysis. See Stability Analysis.

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).