Time interval definition
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ID-based Statistica ETL aligns data differently from Time-indexed Statistica ETL, which aligns by minute, hour, day, week, month, quarter, or year.ID-based Statistica ETL provides options to create identical numbers of elapsed time intervals for each batch (i.e. Class ID), when in the input data the number of such intervals is unequal for different batches.
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None: This is the default option. Select this option to retain all date/time stamps. Batch sizes remain unchanged
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N-equal intervals: Select this option to divide every batch into a fixed number of equal (N) time intervals. You can specify 2 to 100 intervals in the text field provided. Intervals are computed using the method specified by the
Computation of percentiles option, located on the
Limits tab of the
Options dialog box that is accessed by clicking Options on the Tools tab or menu. The default method is Empirical Distribution Function w/Average
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N-user specified intervals: Select this option to divide every batch into N exact user-specified interval boundaries. You can specify 2 to 100 intervals in the text field provided. Click the
Specify intervals button to display the
User Specified Intervals dialog box, where you can enter values for the upper bounds
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Convert Date/Time Stamp to Elapsed Time
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Select this check box to create a new time-based column with discrete interval values (i.e., 1, 2, 3, …). This column can be used by Multivariate Statistical Process Control (MSPC) to determine trends in the evolution of process variables (such as pressure, temperature, feed-rates, etc.)
Note: This check box is enabled when you have selected Date or Time as a Time Variable. However, when you have both Date and Time selected as Time Variables, this check box is disabled because elapsed time cannot be represented as date and time.
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New time variable name
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When the previous check box is selected, a new column is added with the default name
Time Step. The name can be changed in this edit box
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Unstack data by date/time
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Select this check box to rotate or pivot time rows to time columns so that resultant data can be more easily manipulated by an analysis such as Multivariate Statistical Process Control (MSPC).
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Replace missing values with previous values
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Select this check box to replace any missing data with a duplicate of the previous observation. This check box is enabled when you select a Time interval definition option of N equal intervals or N user specified intervals
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