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Basic Analysis and Graphing - SAS

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500 Creating Ternary Plots Chapter 21<br />

Additional Examples of the Ternary Plot Platform<br />

Figure 21.7 Mixture Constraints in a Ternary Plot<br />

For more information about mixtures, see the section on the Mixture Profiler in the Profilers chapter in the<br />

Modeling <strong>and</strong> Multivariate Methods book.<br />

Example Using a Contour Function<br />

The data in Fish Patty.jmp is adapted from Cornell (1990) <strong>and</strong> comes from an experiment to optimize the<br />

texture of fish patties. The columns Mullet, Sheepshead, <strong>and</strong> Croaker represent what proportion of the<br />

patty came from those fish types. The column Temperature represents the oven temperature used to bake<br />

the patties. The column Rating is the response <strong>and</strong> is a measure of texture acceptability, where higher is<br />

better. A response surface model was fit to the data <strong>and</strong> the prediction formula was stored in the column<br />

Predicted Rating. (For more information, see the section on Mixture Profilers in the Modeling <strong>and</strong><br />

Multivariate Methods book.)<br />

1. Open the Fish Patty.jmp sample data table.<br />

2. From the Graph menu, select Ternary Plot.<br />

3. Select Mullet, Sheepshead, <strong>and</strong> Croaker <strong>and</strong> click X, Plotting.<br />

4. Select Predicted Rating <strong>and</strong> click Contour Formula.<br />

5. Click OK.<br />

6. From the red triangle menu, select Contour Fill > Fill Above.

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