Experimental Design - Profiler
Designs for Factors at 2 and 3 Levels
Click the Response desirability profiling button on the Means tab or the Prediction & profiling tab of the Analysis of a Screening Experiment with Two-Level Factors dialog box, Analysis of an Experiment with Two-Level Factors dialog box, Analysis of an Experiment with Two- and Three-Level Factors dialog box, Analysis of an Experiment with Three-Level Factors dialog box, or Analysis of a Central Composite (Response Surface) Experiment dialog box; or on the Prediction & profiling tab of the Analysis of a Mixture Experiment dialog box to display the Profiler dialog box, which contains three tabs: Quick, Save/Open, and Options.
Use the Profiler dialog box to inspect the predicted values for the dependent variables at different combinations of levels of the independent variables, to specify desirability functions for the dependent variables, and to specify a search for the levels of the independent variables that produce the most desirable response on the dependent variables.
For an overview of response/desirability profiling, see Profiling Predicted Responses and Response Desirability. Note that the General Linear Models (GLM) and General Regression Models (GRM) modules also include facilities for response/desirability profiling.
- Dep. vars.
- Click the Dep. vars button to display a standard variable selection dialog box, in which you select the dependent variables to profile by highlighting those variables on the list. If multiple dependent variables are specified for the analysis, use this option 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 the Dependent variables option allows you to easily select subsets of dependent variables or single dependent variables to profile.Note: Missing data. If multiple dependent variables are selected for the analysis, then Statistica applies casewise deletion of missing data, that is, cases or runs are deleted from the analysis if there are missing data for any of the dependent variables specified for the analysis. For consistency in the results, casewise deletion of missing data is applied even if only a single dependent variable is selected to be profiled from a list of multiple dependent variables that were selected to be analyzed. Thus, be careful when there are missing data present in your dependent variables; the results for those variables without missing data may not be based on all available information (namely, those runs where some other dependent variable had missing data were dropped from the analysis).
- View
- Click the View button to display 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 (see the Grid options on the
Profiler - Specifications for Factor Grid dialog box for details on specifying this value). Also shown are the current levels for each predictor variable (see the Set factors at options on the
Profiler - Quick tab for details on specifying these values), and the current level for the block factor, if there is a blocking factor in the analysis variable (see the Block option on the
Quick tab for details on specifying this value). 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. Confidence intervals or prediction intervals for the predicted values are also shown if the Confidence intervals or the Prediction intervals option buttons, respectively, are selected on the
Options tab.
If the Show desirability function check box is selected on the Quick tab, 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 settings on the Quick tab 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
- Click the Surface button to plot the desirability function values in a surface, 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. Note that several different options can be specified for fitting the desirability function values to the surface on the Profiler - Options tab.
- Contour
- Click the Contour button 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. Note that several different options can be specified for fitting the contours of the desirability function on the Profiler - Options tab.
- Cancel
- Click the Cancel button to return to the previous dialog box.
button to display the Options menu.