Transformation of Variables - x=f(x,y) Tab
Select the x=f(x,y) tab of the Transformations of Variables dialog box to access the options described here.
Element Name | Description |
---|---|
OK (Transform selected series) | Click the OK (Transform selected series) button to transform the selected variable (series) and display a plot of the analysis. Transformed variables are appended to the active work area. If a transformation produces an invalid value (e.g., square root of a negative value, division by zero, etc.), Statistica assigns a missing data value; then, in a second pass, those missing data are replaced according to your selection on the Time Series Analysis Startup Panel - Missing Data tab. |
Transformation (for two series) | Use the options in the Transformation (for two series) group box to select the desired type of transformation. These transformations require two variables (series). |
Second variable | Click the Second variable button to display the
Currently available variables and transformations dialog box, in which you select the second (Y) variable for the respective transformation (the first or X variable is the currently highlighted variable in the
active work area).
Difference (x=x-y(lag)). If you select the Difference (x=x-y(lag)) option button, the highlighted series (x) is transformed by: x=x-y(lag). Specify a value for the lag in the adjacent lag= box. |
Residualizing (x=x(a+b*y(lag))) | If you select the Residualizing (x=x(a+b*y(lag))) option button, the highlighted series (x) is transformed by: x=x-(a+b*y(lag)). Specify a value for the lag in the lag= box; a and b are the intercept and slope, respectively, of the (lagged) crosscorrelation. These parameters can either be estimated via least squares regression from the data (select the Estimate a and b from data check box), or they can be entered manually in the a= and b= boxes. |
Estimate a and b from data | If you select the Estimate a and b from data check box, the intercept (a) and slope (b) is computed from the data (via least squares regression). If the check box is cleared, the values you enter in the a= and b= boxes are used. |
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