The TIMEDATA Procedure (Experimental)

VAR Statements

VAR variable-list < / options > ;

The VAR statements list the numeric variables in the DATA= data set whose values are to be accumulated to form the time series.

An input data set variable can be specified in only one VAR statement. You can specify any number of VAR statements. You can also specify the following options in the VAR statements:

ACCUMULATE=option

specifies how the data set observations are to be accumulated within each time period for the variables listed in the VAR statement. If the ACCUMULATE= option is not specified in the VAR statement, accumulation is determined by the ACCUMULATE= option in the ID statement. See the ACCUMULATE= option in the ID statement for more details.

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.

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.

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 listed in the VAR statement. If the SETMISSING= option is not specified in the VAR statement, missing values are set based on the SETMISSING= option in the ID statement. See the SETMISSING= option in the ID statement for more details.

TRANSFORM=option

specifies the time series transformation to be applied to the accumulated time series. You can specify the following transformation options:

NONE: No transformation is applied. This option is the default.
LOG: Logarithmic transformation
SQRT: Square-root transformation
LOGISTIC: Logistic transformation
BOXCOX(n ): Box-Cox transformation with parameter number where n is between –5 and 5

When the TRANSFORM= option is specified, the time series must be strictly positive.

ZEROMISS=option

specifies how beginning and ending zero values (either actual or accumulated) are interpreted in the accumulated time series or ordered sequence for variables listed in the VAR statement. If the ZEROMISS= option is not specified in the VAR statement, beginning and ending zero values are set based on the ZEROMISS= option of the ID statement. If the ZEROMISS= option is not specified in the ID statement or the VAR statement, no zero value interpretation is performed. See the ID statement ZEROMISS= option for more details.