Workspace Node: GLM Custom Design - Results - Profiler Tab

In the GLM Custom Design node dialog box, under the Results heading, select the Profiler tab to access the following options. For an overview of response/desirability profiling see Desirability Profiling in GLM, GRM, and MANOVA and Experimental Design Profiling Predicted Responses and Response Desirability.

Element Name Description
Vars Click this button to display a variable selection dialog box, in which you select the dependent variables to profile. If multiple dependent variables are specified for the analysis, use this button to select the dependent variable or variables for which to profile responses. Note that you can specify desirability function settings for all dependent variables in the analysis, thus, with this option, you can easily select subsets of dependent variables or single dependent variables to profile.
Set factors at value Use the options in this group box to specify the current levels of the predictor variables for the prediction profile compound graph (available via the View check box), the surface plot (available via the Surface check box), and the contour plot (available via the Contour check box).
Mean Select this option button to set the current level of each predictor variable to the mean of the respective variable. This is the default option.
User defined values Select this option button to set the current level of each predictor variable to user-specified values. These values can be inspected and/or specified by clicking the adjacent button, which will display the Select factor/covariate values dialog box, in which you can specify the current level for each predictor variable.
Optimum Select this option button to set the current level of each predictor variable to the value determined by optimizing the response desirability.
Factor Select a factor for which you want to specify grid points. Grid points serve two functions in the response/desirability profiler. They determine the plot points for the factors on the prediction profile compound graph (available via the View check box), the surface plot (available via the Surface check box), and the contour plot (available via the Contour check box).
Minimum/Maximum/Number of steps Specify the minimum value, the maximum value, and the number of intervals in the grid for the factor. These specifications determine the grid points for the factor by setting the lowest grid point to the minimum value, the next lowest grid point to the minimum value plus the difference of the minimum value from the maximum value divided by the number of intervals, and so on up to the highest grid point.
Apply to all Click this button to apply the specification of number of intervals that has been entered in the Number of steps field to all the predictor variables (factors) in the analysis.
View Select this check box to produce a compound graph of the prediction profiles for each of the dependent variables that are selected to be profiled. The prediction profile compound graph contains a number of features that are useful for interpreting the effects of the predictor variables on responses on the dependent variables. For each dependent variable, a graph is produced showing the predicted values of the dependent variables at the minimum and maximum values of each predictor variable, and at each additional grid point for each predictor variable. Also shown are the current levels for each predictor variable. The predicted values that are shown for the dependent variables are the predicted responses at each level of each factor, holding all the other factors (including the block factor) constant at their current levels.

If the Show desirability function check box is selected in the Desirability function specifications group box (see below), clicking the View button will also produce a desirability function graph accompanying the predicted values for each of the dependent variables. The desirability function graph shows the desirability of the response (which can range from 0.0 for undesirable up to 1.0 for very desirable) across the observed range of each dependent variable (see Desirability function specifications option descriptions for details on specifying desirability function values for each dependent variable). Similar to the graphs of the predicted values for each dependent variable, graphs are produced for the overall desirability at each level of each factor, holding all other factors (including the block factor) constant at their current levels. Inspection of the desirability function graphs shows how the desirability of the responses on the dependent variables changes as the levels of the factors change.

Surface Select this check box to plot the desirability function values in a surface plot, along with the specified grid points for the factors. A surface graph will be produced for each pair of factors, showing how the response desirability varies at each combination of grid points for each pair of factors, holding all other factors constant at their current levels.
Contour Select this check box to plot the contours of the desirability function, along with the specified grid points for the factors. A contour plot will be produced for each pair of factors, showing how the response desirability varies at each combination of grid points for each pair of factors, holding all other factors constant at their current levels.
Desirability function specifications Use the options in this group box to enter desirability function specifications for the class displayed in the Variable box. These specifications determine the desirability function values (from 0.0 for undesirable to 1.0 for very desirable) corresponding to predicted values on the class. These specifications are entered in the Value and Desirability edit fields (see below). Note that the majority of the options in this group box are not available unless the Show desirability function check box is selected.
Show desirability function Select this check box to enable the Desirability function specifications edit fields. The Show desirability function check box is always selected when the Set factors at value Optimum option button has been selected. If the Set factors at value Optimum option has been selected and the Show desirability function check box is cleared, Statistica will then clear the Optimum option button and select the Mean option button.
Variable Select a class for which to specify Desirability function specifications, and then enter the settings in the Value and Desirability edit fields.
Value - Low / Med / High Statistica allows for up to three "inflection points" in the desirability function for predicted values for each dependent variable. For example, suppose that some intermediate predicted value on a dependent variable is highly desirable, and that lower and higher predicted values on the variable become progressively less desirable as they depart further from the "target" intermediate value. This type of desirability function would have three inflection points: the low value for the dependent variable, below which the response is undesirable, the high value for the dependent variable, above which the response is undesirable, and the medium value for the dependent variable, at which the response becomes increasingly desirable as it approaches the target value. The default specifications for the low value, medium value, and high value settings use a simple "higher is better" type of desirability function with only two inflection points. The low value is set to the observed minimum value for the dependent variable, the high value is set to the observed maximum value for the dependent variable, and the medium value is set to the mid-point between these two extremes. You can specify any other type of desirability function with up to three inflection points by entering the inflection points for the variable in the low value, medium value, and high value boxes. The only restriction is that adjacent inflection points must be in ascending order or equal in value.
Desirability - Low / Med / High Desirability values (from 0.0 for undesirable to 1.0 for very desirable) can be specified for the corresponding inflection points of the desirability function for each of the dependent variables. For the example "target" type of desirability function described above, you would want to specify desirability values of 0.0 for responses with values below the low inflection point or above the high inflection point, and a desirability value of 1.0 for the targeted intermediate value. You would therefore specify values of 0.0, 1.0, and 0.0 for desirability in the low value, medium value, and high value boxes. The default specifications for the level of desirability at the three inflection points are based on a simple "higher is better" type of desirability function. Desirability is set to 0.0 at the low value, 0.5 at the medium value, and 1.0 at the high value. You can specify any other valid desirability values (from 0.0 to 1.0) by entering the appropriate value in the respective boxes.
Curvature - s / t The desirability of responses need not decrease (or increase) linearly between inflection points in the desirability function. Perhaps there is a "critical region" close to a desired, intermediate response on a dependent variable beyond which the desirability of the response at first drops off very quickly, but drops off less quickly as the departure from the "targeted" value becomes greater. To model this type of desirability function requires "curvature" parameters to take into account the nonlinearity in the "falloff" of desirability between inflection points. In the s parameter and t parameter boxes, you can specify a value for the exponent of the desirability function (from 0.0 up to 50, inclusive) representing the curvature in the desirability function between the low and medium inflection points of the function, and between the medium and high inflection points of the function, respectively. Assuming that an intermediate response is most desirable, values greater than 1.0 for the s parameter and t parameter represent initial quicker "falloff" in desirability but subsequent slower "falloff" in desirability as the departure from the "targeted" value becomes greater. Values less than 1.0 for the s parameter and t parameter represent initial slower "falloff" in desirability but subsequent quicker "falloff" in desirability as the departure from the "targeted" value becomes greater. The default specifications for the s parameter and t parameter are values of 1.0, representing linear "falloff" in desirability between the medium and low inflection points as well as between the medium and high inflection points. Further descriptions of the s parameter and t parameter and their effects in the desirability function can be found in the discussions of "two-sided" desirability functions in Derringer and Suich (1980) and in Box and Draper (1987).

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.