Ternary Graphs - Advanced Tab

Graphical Analytic Techniques

Select the Advanced tab of the Ternary Graphs Startup Panel 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.

2D Scatterplot	Contour/Lines
3D Scatterplot	Contour/Areas
Surface	Trace Plot

Variables

Click the Variables button to display a standard variable selection dialog box, in which you can select the X-, Y-, Z-, and one or more V-axis variables for the graph. The selections made will be displayed 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.

Linear	Full Cubic
Quadratic	Special Cubic

Note: User-defined functions. User-defined functions can be specified on the Custom Function tab of the Graph Options dialog box [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 group box to specify the data range for the ternary plot.

Plot Pseudo-components

When you select this check box, 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 check box, the Ignore cases with invalid sums check box 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 check box, STATISTICA will ignore cases in which the proportions add to a specified expected sum. If you clear this check box, 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 that this option is only available if the Ignore cases with invalid sums check box is selected.