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ACCUMULATE=option
specifies how the data set observations are to be accumulated within each time period for the variables in the variable-list. If you do not specify the ACCUMULATE= option in the VAR or CROSSVAR statement, accumulation is determined by the ACCUMULATE= option in the ID statement. For more information, see the ACCUMULATE= option in the ID statement.
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DIF=(numlist)
specifies the differencing to be applied to the accumulated time series. The list of differencing orders must be separated by spaces or commas. For example, DIF=(1,3) specifies first then third order differencing. Differencing is applied after time series transformation. The TRANSFORM= option is applied before the DIF= option.
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SDIF=(numlist)
specifies the seasonal differencing to be applied to the accumulated time series. The list of seasonal differencing orders must be separated by spaces or commas. For example, SDIF=(1,3) specifies first then third order seasonal differencing. Differencing is applied after time series transformation. The TRANSFORM= option is applied before the SDIF= option.
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SETMISS=option | number
SETMISSING=option | number
specifies how missing values (either actual
or accumulated) are to be interpreted in the accumulated time series for variables in the variable-list. If the SETMISSING= option is not specified in the VAR or CROSSVAR statement, missing values are set based on the SETMISSING= option of the ID statement. For more information, see the SETMISSING= option in the ID statement.
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TRANSFORM=transformation
specifies the time series transformation to be applied to the accumulated time series. When you specify the TRANSFORM= option, the time series must be strictly positive. You can specify the following transformations:
- NONE
does not apply any transformation.
- LOG
logarithmic transformation
- SQRT
square-root transformation
- LOGISTIC
logistic transformation
- BOXCOX(n)
Box-Cox transformation with parameter n, where n is between –5 and 5
By default, TRANSFORM=NONE.