Categorized Quantile-Quantile Plots - Quick Tab

Graphical Analytic Techniques

Select the Quick tab of the Categorized Quantile-Quantile Plots Startup Panel to specify a series of Q-Q plots, one for each of the specified cases, quickly using the current defaults. For more options, use the Advanced tab.

Layout. Select the type of layout for the graph(s).

Separate. Select this option button to produce a Separate plot layout (where each subset of cases is displayed in a separate graph) for the categorized plots.

Overlaid. Select this option button to produce an Overlaid plot layout (where all subsets are overlaid in one graph and identified by patterns and colors) for the categorized plots.

Variables. Click the Variables button to display the standard variable selection dialog box, in which you can select the X and (optional) Y grouping variables and the dependent variable(s) to be displayed in the graph. If more than one dependent variable is selected, a sequence of graphs (one for each dependent variable) is produced using the same set of grouping variables. The selection that you make is displayed below the Variables button.

Note that the selected grouping variables do not have to be categorical variables (e.g., contain codes); you can use one of the methods of categorization to categorize continuous variables. The selection of grouping variables is not necessary if the categories are defined via the Multiple Subsets option button on the Advanced tab.

Distribution. Select the desired theoretical distribution for this graph. You can only select a Normal or Beta distribution on this tab. A greater variety of distributions is available on the Advanced tab.

X Categories, Y Categories. Use the options in these group boxes to choose the method of categorization for each of the selected grouping variables. (Note that grouping variables do not need to be selected if Multiple Subsets categories are selected on the Advanced tab.)

Categorization is used in two classes of graphs in Statistica: categorized graphs (e.g., Categorized Scatterplots) and graphs that include grouping or categorized variables (e.g., 2D Histograms, or 2D Box Plots). Select one of the methods of categorization; click the links listed below for descriptions:

Integer mode