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1.
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3.
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Click Continue.
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4.
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Specify a sample size of eight (Number of Runs).
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5.
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Click Latin Hypercube. Factor settings and design diagnostics are shown in Latin Hypercube Design with Two Factors and Eight Runs.
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6.
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Click Make Table.
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7.
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Select Graph > Graph Builder.
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8.
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9.
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Right-click the plot and select Size/Scale > Size to Isometric to adjust the frame size so that the frame is square.
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10.
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Right-click the plot, select Customize from the menu. In the Customize panel, click the large plus sign to see a text edit area, and enter the following script:
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For Each Row(Circle({:X1, :X2}, 0.404/2))
where 0.404 is the minimum distance number that you noted in the Design Diagnostics panel (Latin Hypercube Design with Two Factors and Eight Runs). This script draws a circle centered at each design point with radius 0.202 (half the diameter, 0.404), as shown on the left in Comparison of Latin Hypercube Designs with Eight Runs (left) and 10 Runs (right). This plot shows the efficient way JMP packs the design points.
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11.
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Repeat the above procedure exactly, but with 10 runs instead of eight (step 5). Remember to change 0.404 in the graphics script to the minimum distance produced by 10 runs.
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You should see a graph similar to the one on the right in Comparison of Latin Hypercube Designs with Eight Runs (left) and 10 Runs (right). Note the irregular nature of the sphere packing. In fact, you can repeat the process to get a slightly different picture because the arrangement is dependent on the random starting point.
