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1.
Select Help > Sample Data, click Open the Sample Scripts Directory, and select Compare Same Run Size.jsl.
3.
In the Plackett-Burman data table, select DOE > Design Diagnostics > Compare Designs.
4.
Select Definitive Screening Design from the Compare ‘Plackett-Burman’ with list.
5.
Select X1 through X6 in the Plackett-Burman panel and in the Definitive Screening Panel.
Figure 16.2 Launch Window with Matched Columns
7.
Figure 16.3 Power Analysis for PB and DSD Comparison
In terms of power, prediction variance, and estimation efficiency, the PB design outperforms the DSD. Figure 16.3 shows the Power Analysis report with the default settings for the significance level, Anticipated RMSE, and coefficients. For tests for the main effects, the PB design has higher power than does the DSD.
Figure 16.4 Fraction of Design Space Plot for PB and DSD Comparison
Figure 16.5 Color Maps for PB and DSD Comparison
The Color Map on Correlations plots in Figure 16.5 show that the PB design aliases main effects with two-way interactions. In contrast, the DSD does not alias main effects with two-way interactions.
3.
Figure 16.6 Power Analysis for PB and DSD Comparison with Interactions
Figure 16.7 Prediction Variance for PB and DSD Comparison with Interactions

Help created on 3/19/2020