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When data sets have a large number of observations, p-values can be very small. LogWorth values provide a useful way to study p-values graphically in these cases. But sometimes p-values are so small that the LogWorth scale is distorted by huge values.
1.
Select Help > Sample Data Library and open Probe.jmp.
2.
Select Analyze > Screening > Response Screening.
3.
In the Response Screening Launch window, select the Responses column group and click Y, Response.
4.
Select Process and click X.
5.
Select the Robust check box.
6.
The detail in the plot is difficult to see, because of the huge Robust FDR LogWorth value of about 58,000 (Figure 18.14). To ensure that your graphs show sufficient detail, you can set a maximum value of the LogWorth.
Figure 18.14 Robust FDR LogWorth vs. Effect Size, MaxLogWorth Not Set
8.
10.
Figure 18.15 Robust FDR LogWorth vs. Effect Size, MaxLogWorth = 1000

Help created on 3/19/2020