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Modeling and Multivariate Methods - SAS

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Chapter 24 Visualizing, Optimizing, <strong>and</strong> Simulating Response Surfaces 581<br />

Mixture Profiler<br />

For an explanation of ternary plot axes for experiments with more than three mixture factors, see “More<br />

than Three Mixture Factors” on page 581.<br />

Figure 24.30 Explanation of p1 Axis.<br />

p1 = 1<br />

labels for<br />

p1 axis<br />

p1 axis<br />

p1 = 0<br />

More than Three Mixture Factors<br />

The ternary plot can only show three factors at a time. If there are more than three factors in the model you<br />

are profiling, the total of the three on-axis (displayed) factors is 1 minus the total of the off-axis<br />

(non-displayed) factors. Also, the plot axes are scaled such that the maximum value a factor can attain is 1<br />

minus the total for the off-axis factors.<br />

For example Figure 24.31 shows the Mixture Profiler for an experiment with 5 factors. The Five Factor<br />

Mixture.jmp data table is being used, with the Y1 Predicted column as the formula. The on-axis factors are<br />

x1, x2 <strong>and</strong> x3, while x4 <strong>and</strong> x5 are off-axis. The value for x4 is 0.1 <strong>and</strong> the value for x5 is 0.2, for a total of<br />

0.3. This means the sum of x1, x2 <strong>and</strong> x3 has to equal 1 – 0.3 = 0.7. In fact, their Current X values add to<br />

0.7. Also, note that the maximum value for a plot axis is now 0.7, not 1.<br />

If you change the value for either x4 or x5, then the values for x1, x2 <strong>and</strong> x3 change, keeping their relative<br />

proportions, to accommodate the constraint that factor values sum to 1.

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