1.
Open the Plasticizer.jmp sample data table.
The p1, p2, and p3 columns all have Mixture Column Properties defined.
2.
From the Graph menu, select Ternary Plot.
3.
Select p1, p2, and p3 and click X, Plotting.
4.
Mixture Constraints in a Ternary Plot
The data in Fish Patty.jmp is adapted from Cornell (1990) and comes from an experiment to optimize the texture of fish patties. The columns Mullet, Sheepshead, and Croaker represent what proportion of the patty came from those fish types. The column Temperature represents the oven temperature used to bake the patties. The column Rating is the response and is a measure of texture acceptability, where higher is better. A response surface model was fit to the data and the prediction formula was stored in the column Predicted Rating. (For more information, see the section on Mixture Profilers in the Profilers book.)
1.
Open the Fish Patty.jmp sample data table.
2.
From the Graph menu, select Ternary Plot.
3.
Select Mullet, Sheepshead, and Croaker and click X, Plotting.
4.
Select Predicted Rating and click Contour Formula.
5.
6.
From the red triangle menu, select Contour Fill > Fill Above.
Ternary Plot with a Contour Formula