Categorized Probability-Probability
Plots - Advanced Tab Categorized Probability-Probability
Plots - Advanced TabSelect the Advanced tab of the Categorized Probability-Probability Plots dialog 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 the Variables button to display the standard variable selection dialog, 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, then a sequence of graphs (one for each dependent variable) will be produced using the same set of grouping variables. The selection that you make will then be displayed in the area of the dialog 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 method.
Distribution. Select the desired theoretical distribution for this graph. Additional options available in this group box are dependent on the distribution selected.
Compute parameters. The parameters for each distribution will be computed along with the distribution. Click the distributions links listed below for more information.
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:
