Time Variable Specs
On the Statistica Extract, Transform, and Load (ETL): ID-based dialog box - Advanced tab, click the Time Variable Specs button to display the Time Variable Specs dialog box, which provides options for the Time variable, if selected.
This dialog box provides options to:- Normalize the lengths of batch data to achieve a fixed number of time intervals for all batches in the respective input data source.
- Optionally unstack the batch-time data. For each time interval and for each output variable, a new variable is created. This prepares data for Multivariate Statistical Process Control (MSPC) .
| Element Name | Description |
|---|---|
| Time interval definition | 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.
|
| Convert Date/Time Stamp to Elapsed Time | 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.
|
| New time variable name | 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 |
| Unstack data by date/time | 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). |
| Replace missing values with previous values | 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 |