Response Screening Platform Options
The Response Screening red triangle menu contains options to customize the display and to compute and save calculated data.
Show Plots
Shows or hides the plots in the report window.
Show Report Tables
Shows or hides the result tables in the report window.
Show Means Differences
(Available only if there is at least one continuous response and at least one categorical X variable.) Adds the Logworth by Difference plot and the Means Differences report to the Response Screening report window. See Logworth by Difference and Means Differences.
Note: This option is not available if Common Y Scale is selected in the launch window because the plot and table are already included in the report.
Show Slopes
Adds the Logworth by Slope plot to the Response Screening report window and a Slope column to the Result Table. See Logworth by Slope.
Note: This option is not available if Common Y Scale and Common X Scale are also selected in the launch window because the plot is already included in the report.
Practical Differences and Equivalences
Performs tests for practical differences and equivalences of the means across two levels of a categorical variable. Use the Means Comparisons option in the launch window to specify whether to compare each level to a control level or to compare all possible level combinations. Instead of testing that the difference between means is zero, a test of practical significance tests whether the difference in means exceeds a specified practical difference. Equivalence tests enable you to determine whether two levels have essentially the same effect, from a practical perspective, on the response. In other words, an equivalence test tests whether the difference is smaller than the practical difference.
When you select this option, you specify the size of the difference that you consider worth detecting. There are two options to specify the practical difference:
Portion
If you assign a Spec Limit property to the Y variable, the practical difference is computed as the difference between the lower and upper specification limits multiplied by the specified portion. If you do not assign a Spec Limit property to the Y variable, the practical difference is computed as 
multiplied by the specified portion, where 
is a robust estimate of the standard deviation. If the interquartile range (IQR) is nonzero and the IQR > range/20, the standard deviation estimate is 
. Otherwise, the sample standard deviation is used as 
. By default, the portion is 0.1.
Actual Difference
Specifies the practical difference for all comparison tests. This option is appropriate if all of the responses are on the same scale.
Once you click OK, a Practical Difference plot and a Practical Differences table are added to the report window. For information about the plot, see Practical Difference. The Practical Differences table indicates the X variables and the levels that are compared. There are columns for the actual difference between levels, the specified practical difference to detect, and the p-values from the practical difference and equivalences tests. There is also a column that indicates whether the levels are different, equivalent, or inconclusive based on the test results.
Fit Selected Items
For selected relationships, adds the appropriate Fit Y by X reports to the Response Screening report. You can select relationships by selecting points in the plots, rows in the Result Table, or if opened, rows in the PValue data table.
Select Columns
Selects the columns in the original data table that correspond to rows that you select in the Result Table, to points that you select in plots in the Response Screening report window, or if opened, rows in the PValues table. Select the rows or points first, and then select Select Columns. The corresponding columns in the data table are selected. You can select columns corresponding to additional rows in the PValues table or points in plots by first selecting them and then selecting Select Columns again. To select columns corresponding to different rows or points, first clear the current column selection in the original data table.
Select Where
Opens the Select Where window. You can select specific responses in the Result Table that correspond to a particular condition by using the Comparison menu and Value text box. For example, you can select all responses such that Effect Size > 0.80. After you click OK, the responses are selected in the Result Table.
Tip: You can also access the Select Where window by right-clicking anywhere in the Result Table.
Save Tables
Shows a submenu of options to create new data tables.
Save PValues
Creates the PValues data table. See Response Screening Platform Options.
Save Means
(Available for continuous Y variables and categorical X variables.) Creates a data table with the counts, means, and standard deviations for each level of the categorical variable. If the Robust option is selected, the robust mean is included. See Means Data Table.
Save Means Differences
(Available for continuous Y variables and categorical X variables.) Creates a new data table for tests of comparisons across the levels of the categorical variables. This contains the columns that are in the Means Differences report table as well as additional columns. If practical differences tests have been specified, these test results are included in the new data table. See Means Differences Data Table. For an example, see Example of Tests of Practical Significance and Equivalence.
Save 2 by M
(Available for categorical X variables and categorical Y variables with two levels.) Creates a data table of the information in the 2 by M Results report, as well as other test statistics. The data table contains the following columns groups:
Cell Counts
Contains columns of the cell counts that typically appear in a contingency table.
Odds Ratios
Contains columns for the estimate, the lower and upper confidence intervals, and the significance status of the odds ratio.
Relative Risks
Contains columns for the estimate, the lower and upper confidence intervals, and the significance status of the relative risk.
Risk Differences
Contains columns for the estimate, the lower and upper confidence intervals, and the significance status of the risk difference.
Test Statistics
Contains several columns of test statistics.
Fisher Exacts
Contains several columns of right tailed, left tailed, and two tailed Fisher’s Exact tests.
For more information about the results in the 2 by M table, see Contingency Analysis in Basic Analysis.
Save Columns
(Available for continuous Y variables.) Shows submenu of options to save new columns to the original data table.
Save Std Residuals
Saves a new group of columns to the original data table and places these in a column group call Residual Group. For each continuous Y and categorical X, a column is constructed containing the residuals divided by their estimated standard deviation. In other words, the column contains standardized residuals. The column is defined by a formula.
If the Robust option is selected, standardized residual columns are constructed using robust fits and robust estimates.
Save Outlier Indicator
Saves a new group of columns to the original data table and places these in a column group call Outlier Group. Save Outlier Indicator is most effective when you have selected the Robust option.
For each continuous Y and categorical X, a column that indicates outliers is constructed. An outlier is a point whose distance to the predicted value exceeds three times an estimate of sigma. In other words, an outlier is a point whose standardized residual exceeds three. The column is defined by a formula.
If the Robust option is selected, robust fits and robust estimates are used. An outlier is a point whose distance to the predicted value exceeds three times the robust estimate of sigma.
The Cluster Outliers script is added to the original data table. The script shows outliers on a hierarchical cluster plot of the data.
See Local Data Filters in JMP Reports, Redo Menus in JMP Reports, Group Platform, and Save Script Menus in JMP 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.
Platform Preferences
Contains options that enable you to view the current platform preferences or update the platform preferences to match the settings in the current JMP report.
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.
Note: Additional options for this platform are available through scripting. Open the Scripting Index under the Help menu. In the Scripting Index, you can also find examples for scripting the options that are described in this section.