Select the Advanced tab of the Ternary Graphs dialog to access options to produce a variety of advanced graph types, data ranges, and fits for the ternary graphs.
Graph Type. Select the type of ternary plot to be plotted from the Graph Type list. Click the desired plot link below for a brief description of that type of graph.
Variables. Click the Variables button to display the standard variable selection dialog, in which you can select the X-, Y-, Z-, and one or more V-axis variables for the graph. The selection that you make will then be displayed in the area of the dialog below the Variables button.
Fit. You can choose from four regression functions to fit to the data in a ternary plot. Click on a function name for more information about that function. See also Fitting Options for Ternary Plots. Select Off if you do not want to fit a function to the ternary plot.
Note: User-defined functions. User-defined functions can be specified in the Custom Function options pane of the Graph Options dialog [accessible by clicking Graph Options on the Format tab (ribbon bar) or by selecting Graph Options from the Format menu (classic menus)]. These functions are plotted over (i.e., overlaid) and not fitted to the data. In order to fit (and plot) user-defined functions to the data, use the Nonlinear Estimation module.
Data Range. Use the options in this box to specify the data range for the ternary plot.
Plot Pseudo-components. When you select this option, the component settings are recoded to so-called pseudo-components so that (see also Cornell, 1990a, Chapter 3):
x'i = (xi -Li )/(Total-L)
Here, x'i stands for the i'th pseudo-component, xi stands for the original component value, Li stands for the lower constraint (limit) for the i'th component, L stands for the sum of all lower constraints (limits) for all components in the design, and Total stands for the mixture total. This transformation makes the coefficients for different factors comparable in size. When you select this option, the Ignore cases with invalid sums option will automatically be selected (see below).
Ignore cases with invalid sums. This option is used to manage cases in which the component proportions do not add to the constrained value. If you select this option, STATISTICA will ignore cases in which the proportions add to a specified expected sum. If you de-select this option, then STATISTICA will rescale the proportions so that they add to 1 in each case.
Expected sum of x+y+z. Specify here the sum to which the proportions should add. Note this option is only available if the Ignore cases with invalid sums option has been selected.