Categorized Probability-Probability Plots - Advanced Tab

Graphical Analytic Techniques

Select the Advanced tab of the Categorized Probability-Probability Plots Startup Panel to create a probability-probability plot using a variety of distributions.

Layout

Choose either a Separate plot layout (where each subset of cases is displayed in a separate small graph) or an Overlaid plot layout (where all subsets are overlaid in one graph and identified only by patterns and colors) for the categorized plots.

Variables

Click this button to display a 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) will be produced using the same set of grouping variables. The selections made will be displayed below the Variables button.

Note: 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 method.

Distribution

Select the desired theoretical distribution for this graph. Specific parameters may be required for some of the distributions; when these distributions are selected, parameter options are displayed below the Distribution group box.

Compute parameters

The parameters for each distribution will be computed along with the distribution. Click the distributions links listed below for more information.

Normal	Gamma
Beta	Lognormal
Exponential	Rayleigh
Extreme Value	Weibull

X-Categories / Y-Categories

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 Integer mode, Unique values, or Categories to specify that method of categorization for each of the variables selected via the Change Variable button, or use the Boundaries, Codes, or Multiple subsets options. For more information about each of these methods of categorization, click on the links below: