1.
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With your data table open, select Tables > Missing Data Pattern.
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3.
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Click Add Columns.
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4.
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Select Count Missing Value Codes to count missing value codes as missing values.
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5.
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Select Add Value Colors Property to consistently color columns that contain 0 or 1 (missing value indicators).
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6.
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Click OK.
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1.
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2.
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Select Tables > Missing Data Pattern.
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Figure 3.18 The Missing Data Pattern Window
Note: For details about the options in the red triangle menu, see Column Filter Menu in Get Started.
4.
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Click Add Columns.
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5.
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Click OK.
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Figure 3.19 A Missing Data Pattern Table
Figure 3.19 shows the following patterns:
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Row 1 shows that there are two instances where all rows in Trial 1, Trial 2, Trial 3, and Trial 4 have no missing values.
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Row 3 shows that there are two rows in the source table whose missing values are in the Trial 3 and Trial 4 columns.
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Row 4 shows that there is one row in the source table whose three missing values are in the Trial 2, Trial 3, and Trial 4 columns.
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The Count column is assigned the frequency role. If you now use the Missing Data Pattern data table to run an analysis, JMP automatically uses Count as a frequency. For details, see Assign a Preselected Analysis Role in The Column Info Window.