Properties Assigned and Controlled by JMP

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Using JMP • The Column Info Window • Column Properties • Properties Assigned and Controlled by JMP

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Properties Assigned and Controlled by JMP

To control how information flows between platforms, JMP assigns some properties that you cannot control. These properties do not appear on the Column Properties menu.

Response Probability

In Profiler reports, the Response Probability property makes all levels of the categorical response variable appear in a single row. JMP automatically assigns the Response Probability property when certain probability formulas are saved to the data table.

Follow these steps to save the property:

1.

Fit a logistic regression model using the Fit Model platform.

2.

Select the Save Probability Formula option in the report window.

JMP automatically assigns the Response Probability property to the new probability columns.

3.

Select Prediction Profiler from the report’s red triangle menu.

The levels of the categorical response appear on the vertical axis. Probabilities for each level are shown.

For more details, see the Profilers book.

In the Profiler and Nonlinear platforms, if an ingredient column to the model might have a formula, JMP substitutes the inner formula, as long as it refers to other columns. Add the Expand Formula property to prevent an ingredient column from expanding. Assign the value of 0.

For more details, see Expand Intermediate Formulas in the Profilers book.

JMP automatically assigns the Predicting column property when you fit a model to a continuous response and save the prediction formula or prediction values. The Predicting column property identifies the platform used to create the prediction formula. That platform is listed as the Creator in the Model Comparison platform.

Informative Missing Terms

Missing levels of a categorical variable are treated as informative missing in certain JMP platforms, either by default or if you request an informative missing fit. In these cases, JMP automatically assigns the Informative Missing Terms column property to a prediction formula column that includes the categorical variable. This column property ensures that the missing value category is treated as a distinct level of the categorical variable in plots and analyses that involve the prediction formula. In particular, profiler plots show the missing values as a level.

JMP automatically assigns the Column ID column property to the column that is used to split the initial Bootstrap results data table. This column property assists the split operation and ensures that the column names in the split Bootstrap results table are meaningful.

ConstraintState

When you select Save Constraints, the coefficients of each linear constraint appear in a column in a data table. Each constraint column is assigned the ConstraintState column property. This property specifies the direction of the inequality that defines the constraint. When you select Load Constraints from a design platform, the ConstraintState column property tells JMP the direction of the inequality.

The RunsPerBlock property indicates the maximum allowable number of runs in each block. This property is used by the Evaluate Design and Augment Design platforms to indicate the blocking structure for the factor.

The DF column property is added by many modeling platforms to formula columns that calculate the standard error of the predicted values. The value of this column property is used by the Prediction Profiler to draw confidence intervals when both a prediction formula column and a standard error formula column are provided.

Caution: We do not recommend that you remove or change the value of this property. Doing so could adversely affect the confidence intervals in the Prediction Profiler.

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Help created on 10/11/2018