In the Popcorn.jmp data table, the data in the trial column shows that there are two trials, 1 and 2. In this example, split the yield column into two new columns: one for trial 1 and one for trial 2. Proceed as follows:
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Select Tables > Split.
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The default is Drop All, which omits any columns that are not in the Split By, Split Columns, or Group fields. Selecting Keep All includes these columns in the new table.
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Click OK.
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A new data table is created. See Figure 5.13. Notice the following:
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The data table has two new columns, named after the unique values (1 and 2) from the original trial column.
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(Optional) Rename the new columns to give them meaningful names. For example, rename 1 to yield (trial 1) and rename 2 to yield (trial 2).
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The Drug Measurements.jmp sample data table contains measurements of three different drugs (a, b, and c) administered to 12 different subjects. You want to split the measurement into different columns, one for each drug type. You also want to group the measurements by subject.
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Select Tables > Split.
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Notice that the Subject variable contains unequal groups. Most of the subjects were given all three drugs, but subject 2 was given only one drug, and subjects 7 and 12 were given only two drugs. In this situation, to ensure that the correct measurements are associated with the correct subject, specify Subject as the Group variable.
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Click OK.
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